INS-disorders-publication/Supplementary_Material_Files_S2.json

{
  "databases": [
    "pubmed",
    "acm",
    "scopus",
    "biorxiv",
    "arxiv",
    "ieee",
    "medrxiv",
    "oc"
  ],
  "limit": 7000,
  "limit_per_database": 1000,
  "number_of_papers": 83,
  "number_of_papers_by_database": {
    "ACM": 2,
    "IEEE": 2,
    "PubMed": 44,
    "Scopus": 68,
    "arXiv": 1,
    "bioRxiv": 6
  },
  "papers": [
    {
      "abstract": "Social interaction is of fundamental importance to humans. Prior research has highlighted the link between interbrain synchrony and positive outcomes in human social interaction.\n\nNeurofeedback is an established method to train ones brain activity and might offer a possibility to increase interbrain synchrony. Consequently, it would be advantageous to determine the feasibility of creating a neurofeedback system for enhancing interbrain synchrony to benefit human interaction.\n\nIn this study, we investigated whether the most widely employed metric for interbrain synchrony, namely wavelet transform coherence, can be assessed accurately in near real-time using functional near-infrared spectroscopy (fNIRS), which is recognized for its mobility and ecological suitability for interactive research. To this end, we have undertaken a comprehensive approach encompassing simulations and a re-evaluation of two human-interaction datasets. Our findings indicate the potential for a stable near real-time measurement of wavelet transform coherence for integration durations of about one minute. This would align well with the methodology of an intermittent neurofeedback procedure.\n\nOur investigation lays the technical foundation for an fNIRS-based system to measure interbrain synchrony in near real-time. This advancement is crucial for the future development of a neurofeedback training system tailored to enhance interbrain synchrony to potentially benefit human interaction.",
      "authors": [
        "Kostorz, K.",
        "Nguyen, T.",
        "Pan, Y.",
        "Melinscak, F.",
        "Steyrl, D.",
        "Hu, Y.",
        "Sorger, B.",
        "Hoehl, S.",
        "Scharnowski, F."
      ],
      "categories": null,
      "citations": null,
      "comments": null,
      "databases": [
        "bioRxiv"
      ],
      "doi": "10.1101/2023.12.11.570765",
      "keywords": [],
      "number_of_pages": null,
      "pages": null,
      "publication": {
        "category": "Preprint",
        "cite_score": null,
        "is_potentially_predatory": false,
        "isbn": null,
        "issn": null,
        "publisher": null,
        "sjr": null,
        "snip": null,
        "subject_areas": [
          "neuroscience"
        ],
        "title": "bioRxiv"
      },
      "publication_date": "2023-12-12",
      "selected": false,
      "title": "Towards fNIRS Hyperfeedback: A Feasibility Study on Real-Time Interbrain Synchrony",
      "urls": [
        "https://doi.org/10.1101/2023.12.11.570765"
      ]
    },
    {
      "abstract": "This study looked into how effective a Musical Brain-Computer Interface\n(MBCI) can be in providing feedback about synchrony between two people. Using a\ndouble EEG setup, we compared two types of musical feedback; one that adapted\nin real-time based on the inter-brain synchrony between participants\n(Neuroadaptive condition), and another music that was randomly generated\n(Random condition). We evaluated how these two conditions were perceived by 8\ndyads (n = 16) and whether the generated music could influence the perceived\nconnection and EEG synchrony between them. The findings indicated that\nNeuroadaptive musical feedback could potentially boost synchrony levels between\npeople compared to Random feedback, as seen by a significant increase in EEG\nphase-locking values. Additionally, the real-time measurement of synchrony was\nsuccessfully validated and musical neurofeedback was generally well-received by\nthe participants. However, more research is needed for conclusive results due\nto the small sample size. This study is a stepping stone towards creating music\nthat can audibly reflect the level of synchrony between individuals.",
      "authors": [
        "Anita Vrins",
        "Ethel Pruss",
        "Caterina Ceccato",
        "Jos Prinsen",
        "Maryam Alimardani"
      ],
      "categories": null,
      "citations": null,
      "comments": "6 pages, 4 figures",
      "databases": [
        "arXiv"
      ],
      "doi": null,
      "keywords": [],
      "number_of_pages": null,
      "pages": null,
      "publication": {
        "category": "Preprint",
        "cite_score": null,
        "is_potentially_predatory": false,
        "isbn": null,
        "issn": null,
        "publisher": null,
        "sjr": null,
        "snip": null,
        "subject_areas": [
          "Human-Computer Interaction"
        ],
        "title": "arXiv"
      },
      "publication_date": "2023-09-05",
      "selected": true,
      "title": "Investigating the Impact of a Dual Musical Brain-Computer Interface on Interpersonal Synchrony: A Pilot Study",
      "urls": [
        "http://arxiv.org/abs/2309.02079v1",
        "http://arxiv.org/pdf/2309.02079v1"
      ]
    },
    {
      "abstract": "Depression is one of the most common mental disorders worldwide. Dysthymia, a long-lasting form of depressive disorder that is also known as persistent depressive disorder (PDD) with pure dysthymic syndrome according to the Diagnostical and Statical Manual of Mental Disorders (DSM-5), is characterised by being difficult to treat. The most prominent therapeutic approaches in treating dysthymia are pharmacotherapy and psychotherapy, but recent studies also demonstrate the success of neurofeedback in treating individuals with depressive disorders. However, infra-low-frequency (ILF) neurofeedback, the main new neurofeedback protocol, lacks empirical evidence, and there is no evidence that it can treat dysthymia. This case report investigates the ILF neurofeedback method in a male patient with dysthymia. After 45 sessions of ILF neurofeedback combined with ILF synchrony, a decrease in symptom severity was found on assessment after treatment, and these results remained consistent at a low level at a 6-month follow-up. Additionally, the patient reported benefits on interpersonal and cognitive levels and in daily life situations. This study should incentivise further investigations into using ILF neurofeedback to treat dysthymia and all variations of depressive disorders. \u00c2\u00a9 2023 by the author.",
      "authors": [
        "Tschiesner, Reinhard"
      ],
      "categories": null,
      "citations": 0,
      "comments": null,
      "databases": [
        "Scopus",
        "PubMed"
      ],
      "doi": "10.3390/bs13090711",
      "keywords": [
        "@UI",
        "N infra-low frequency",
        "N neurofeedback",
        "N dysthymia",
        "N depression",
        "#text"
      ],
      "number_of_pages": null,
      "pages": null,
      "publication": {
        "category": "Journal",
        "cite_score": 3.0,
        "is_potentially_predatory": false,
        "isbn": null,
        "issn": "2076-328X",
        "publisher": "Multidisciplinary Digital Publishing Institute (MDPI)",
        "sjr": 0.597,
        "snip": 0.965,
        "subject_areas": [
          "Development",
          "Psychology (all)",
          "Ecology, Evolution, Behavior and Systematics",
          "Genetics",
          "Behavioral Neuroscience"
        ],
        "title": "Behavioral sciences (Basel, Switzerland)"
      },
      "publication_date": "2023-08-28",
      "selected": false,
      "title": "Infra-Low-Frequency Neurofeedback Treatment in Dysthymia: A Case Study.",
      "urls": [
        "https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85172807531&origin=inward"
      ]
    },
    {
      "abstract": "Patients diagnosed with Parkinson's disease (PD) have difficulty initiating and executing movements due to an acquired imbalance of the basal ganglia thalamocortical circuit secondary to loss of dopaminergic input into the striatum. The unbalanced circuit is hyper-synchronized, presenting as larger and longer bursts of beta-band (13-30\u00a0Hz) oscillations in the subthalamic nucleus (STN). As a first step toward a novel PD therapy that aims to improve symptoms through beta desynchronization, we sought to determine if individuals with PD could acquire volitional control of STN beta power in a neurofeedback task. We found a significant difference in STN beta power between task conditions, and relevant brain signal features could be detected and decoded in real time. This demonstration of volitional control of STN beta motivates development of a neurofeedback therapy to modulate PD symptom severity.",
      "authors": [
        "Rouzitalab, Alireza",
        "Boulay, Chadwick B",
        "Sachs, Adam J"
      ],
      "categories": null,
      "citations": null,
      "comments": null,
      "databases": [
        "PubMed"
      ],
      "doi": "10.1016/j.brainres.2023.148394",
      "keywords": [
        "N Parkinson\u2019s disease",
        "N Deep brain stimulation",
        "#text",
        "N Subthalamic Nucleus",
        "N Beta power",
        "N Beta burst rate",
        "@UI"
      ],
      "number_of_pages": null,
      "pages": "148394",
      "publication": {
        "category": "Journal",
        "cite_score": 6.6,
        "is_potentially_predatory": false,
        "isbn": null,
        "issn": "1872-6240",
        "publisher": "Elsevier",
        "sjr": 0.854,
        "snip": 0.766,
        "subject_areas": [
          "Neuroscience (all)",
          "Neurology (clinical)",
          "Molecular Biology",
          "Developmental Biology"
        ],
        "title": "Brain research"
      },
      "publication_date": "2023-05-06",
      "selected": false,
      "title": "Volitional control of beta activities in Parkinson's disease patients.",
      "urls": []
    },
    {
      "abstract": "This paper aims to review recent changes in the methods of early intervention used in treating young children with Autism Spectrum Disorder. We have transitioned from models of intensive interventions, in ecologically irrelevant situations, that focus on children's autistic behavior, to less intensive dyad-based interventions in ecological contexts. They target parent/child interaction, including synchrony, parental sensitivity, language skills, and the child's social communication. The various video feedback techniques, particularly relevant for autistic children, are detailed, in particular VIPP, PACT, and Interactive Guidance Therapy (IGT) taking into account their interest, validity and limitations. The challenge is to develop these techniques in a reproducible and measurable way, while respecting the specificity of each dyad. To meet these challenges, we propose to develop the IGT model, which meets the stated requirements, and to develop the single-case methodology in order to assess the effects of early interventions on children with autism. \u00c2\u00a9 2023 Elsevier Masson SAS",
      "authors": [
        "Ouss, L.",
        "Beauquier Maccotta, B.",
        "Herv\u00c3\u00a9, M.-J.",
        "Bompard, C.",
        "Desvignes, C.",
        "Velasquez, P.",
        "Rusconi Serpa, S.",
        "Quirot, B."
      ],
      "categories": null,
      "citations": 0,
      "comments": null,
      "databases": [
        "Scopus"
      ],
      "doi": "10.1016/j.amp.2022.11.017",
      "keywords": [
        "Early intervention",
        "Parent child relationship",
        "Video therapy",
        "Family therapy",
        "Autism"
      ],
      "number_of_pages": 7,
      "pages": "440-446",
      "publication": {
        "category": "Journal",
        "cite_score": 1.3,
        "is_potentially_predatory": false,
        "isbn": null,
        "issn": "00034487",
        "publisher": "Elsevier Masson s.r.l.",
        "sjr": 0.419,
        "snip": 0.869,
        "subject_areas": [
          "Arts and Humanities (miscellaneous)",
          "Applied Psychology",
          "Psychiatry and Mental Health"
        ],
        "title": "Annales Medico-Psychologiques"
      },
      "publication_date": "2023-05-01",
      "selected": false,
      "title": "Early interventions in young children with autism: The place of video feedback. From behavioral interventions, to an approach focused on early interactions and parental sensitivity",
      "urls": [
        "https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85149687321&origin=inward"
      ]
    },
    {
      "abstract": "Functional Disorders are common medical problems both in primary and in secondary health care. The mechanisms that cause symptoms such as primary pain, fatigue, dizziness are still unknown. Various classifications, including ICD-10 or DSM-5, describe these conditions differently, and new proposals are being developed e.g. in ICD-11, RDoC. Many controversies are evoked by lack of unequivocal explanatory theory. The early psychoanalytical concept has been modified by other explanations, such as immunological abnormalities, dysfunction of vegetative system and HPA axis, central sensitization, diverted processes of perception or predictive processes within cognitive homeostasis dysregulation. Insufficient scientific evidence makes therapies unsuccessful and justifies further study. Psychotherapy, pharmacology and complementary medicine are supplemented by new experimental methods of treatment connected with progress in neuroscience. The recently developed non-invasive Transcranial Direct Current Stimulation (tDCS), Transcranial Magnetic Stimulation (TMS) and - neurofeedback (EEG-NF), based on EEG registration, are undergoing tests. Applying complex mathematical algorithms to localized bioelectrical signal sources makes it possible to modulate and reshape connections of neuronal networks within specific cortex areas. This article presents the current state of knowledge concerning functional disorders, highlighting the ways in which different definitions of FD have an impact on approaches to treatment.",
      "authors": [
        "Czachowski, S\u0142awomir"
      ],
      "categories": null,
      "citations": null,
      "comments": null,
      "databases": [
        "PubMed"
      ],
      "doi": "10.12740/PP/OnlineFirst/141960",
      "keywords": [
        "D016428 Journal Article",
        "N psychosomatics",
        "D016454 Review",
        "N somatization",
        "N functional disorders"
      ],
      "number_of_pages": 10,
      "pages": "421-430",
      "publication": {
        "category": "Journal",
        "cite_score": 2.7,
        "is_potentially_predatory": false,
        "isbn": null,
        "issn": "2391-5854",
        "publisher": "Polish Psychiatric Association",
        "sjr": 0.377,
        "snip": 0.641,
        "subject_areas": [
          "Psychiatry and Mental Health"
        ],
        "title": "Psychiatria polska"
      },
      "publication_date": "2023-04-30",
      "selected": false,
      "title": "Functional disorders - new proposals for definition, psychosomatics, somatization.",
      "urls": []
    },
    {
      "abstract": "A dual brain-computer interface (BCI) was developed to translate emotions and synchrony between two users into music. Using EEG signals of two individuals, the system generates live music note-by-note and controls musical parameters, such as pitch, intensity and interval. The users' mean EEG amplitude determines the notes, and their emotional valence modulates the intensity (i.e. volume of music). Additionally, inter-brain synchrony is used to manipulate the interval between notes, with higher synchrony producing more pleasant music and lower synchrony producing less pleasant music. Further research is needed to test the system in an experimental setting, however, literature suggests that neurofeedback based on inter-brain synchrony and emotional valence could be used to promote positive aspects of group dynamics and mutual emotional understanding. \u00c2\u00a9 2023 Owner/Author.",
      "authors": [
        "Ceccato, Caterina",
        "Pruss, Ethel",
        "Vrins, Anita",
        "Prinsen, Jos",
        "Alimardani, Maryam"
      ],
      "categories": null,
      "citations": 0,
      "comments": null,
      "databases": [
        "Scopus",
        "ACM"
      ],
      "doi": "10.1145/3544549.3585910",
      "keywords": [
        "inter-brain synchrony",
        "emotion",
        "brain-computer interface (BCI)",
        "music",
        "neurofeedback"
      ],
      "number_of_pages": 7,
      "pages": "1-7",
      "publication": {
        "category": "Conference Proceedings",
        "cite_score": null,
        "is_potentially_predatory": false,
        "isbn": "9781450394222",
        "issn": null,
        "publisher": "Association for Computing Machinery",
        "sjr": null,
        "snip": null,
        "subject_areas": [],
        "title": "Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems"
      },
      "publication_date": "2023-04-19",
      "selected": true,
      "title": "BrainiBeats: A dual brain-computer interface for musical composition using inter-brain synchrony and emotional valence",
      "urls": [
        "https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85158136402&origin=inward",
        "https://dl.acm.org/doi/10.1145/3544549.3585910"
      ]
    },
    {
      "abstract": "Tobacco smoking is associated with deleterious health outcomes. Most smokers want to quit smoking, yet relapse rates are high. Understanding neural differences associated with tobacco use may help generate novel treatment options. Several animal studies have recently highlighted the central role of the thalamus in substance use disorders, but this research focus has been understudied in human smokers. Here, we investigated associations between structural and functional magnetic resonance imaging measures of the thalamus and its subnuclei to distinct smoking characteristics. We acquired anatomical scans of 32 smokers as well as functional resting-state scans before and after a cue-reactivity task. Thalamic functional connectivity was associated with craving and dependence severity, whereas the volume of the thalamus was associated with dependence severity only. Craving, which fluctuates rapidly, was best characterized by differences in brain function, whereas the rather persistent syndrome of dependence severity was associated with both brain structural differences and function. Our study supports the notion that functional versus structural measures tend to be associated with behavioural measures that evolve at faster versus slower temporal scales, respectively. It confirms the importance of the thalamus to understand mechanisms of addiction and highlights it as a potential target for brain-based interventions to support smoking cessation, such as brain stimulation and neurofeedback.",
      "authors": [
        "Lor, Cindy Sumaly",
        "Haugg, Amelie",
        "Zhang, Mengfan",
        "Schneider, Letitia",
        "Herdener, Marcus",
        "Quednow, Boris B",
        "Golestani, Narly",
        "Scharnowski, Frank"
      ],
      "categories": null,
      "citations": null,
      "comments": null,
      "databases": [
        "PubMed"
      ],
      "doi": "10.1111/adb.13261",
      "keywords": [
        "N nicotine dependence",
        "D016428 Journal Article",
        "N anatomical scans",
        "N smoking urge",
        "N anterior cingulate cortex",
        "D013485 Research Support, Non-U.S. Gov't",
        "N thalamus",
        "N structural scans",
        "N resting-state functional connectivity"
      ],
      "number_of_pages": null,
      "pages": "e13261",
      "publication": {
        "category": "Journal",
        "cite_score": 7.4,
        "is_potentially_predatory": false,
        "isbn": null,
        "issn": "1369-1600",
        "publisher": "Wiley-Blackwell",
        "sjr": 1.049,
        "snip": 0.941,
        "subject_areas": [
          "Medicine (miscellaneous)",
          "Pharmacology",
          "Psychiatry and Mental Health"
        ],
        "title": "Addiction biology"
      },
      "publication_date": "2023-01-01",
      "selected": false,
      "title": "Thalamic volume and functional connectivity are associated with nicotine dependence severity and craving.",
      "urls": []
    },
    {
      "abstract": "Background: The brain\u00e2\u0080\u0093computer interface (BCI) race at the Cybathlon championship, for people with disabilities, challenges teams (BCI researchers, developers and pilots with spinal cord injury) to control an avatar on a virtual racetrack without movement. Here we describe the training regime and results of the Ulster University BCI Team pilot who has tetraplegia and was trained to use an electroencephalography (EEG)-based BCI intermittently over 10\u00c2 years, to compete in three Cybathlon events. Methods: A multi-class, multiple binary classifier framework was used to decode three kinesthetically imagined movements (motor imagery of left arm, right arm, and feet), and relaxed state. Three game paradigms were used for training i.e., NeuroSensi, Triad, and Cybathlon Race: BrainDriver. An evaluation of the pilot\u00e2\u0080\u0099s performance is presented for two Cybathlon competition training periods\u00e2\u0080\u0094spanning 20 sessions over 5\u00c2 weeks prior to the 2019 competition, and 25 sessions over 5\u00c2 weeks in the run up to the 2020 competition. Results: Having participated in BCI training in 2009 and competed in Cybathlon 2016, the experienced pilot achieved high two-class accuracy on all class pairs when training began in 2019 (decoding accuracy > 90%, resulting in efficient NeuroSensi and Triad game control). The BrainDriver performance (i.e., Cybathlon race completion time) improved significantly during the training period, leading up to the competition day, ranging from 274\u00e2\u0080\u0093156\u00c2 s (255 \u00c2\u00b1 24\u00c2 s to 191 \u00c2\u00b1 14\u00c2 s mean \u00c2\u00b1 std), over 17\u00c2 days (10 sessions) in 2019, and from 230\u00e2\u0080\u0093168\u00c2 s (214 \u00c2\u00b1 14\u00c2 s to 181 \u00c2\u00b1 4\u00c2 s), over 18\u00c2 days (13 sessions) in 2020. However, on both competition occasions, towards the race date, the performance deteriorated significantly. Conclusions: The training regime and framework applied were highly effective in achieving competitive race completion times. The BCI framework did not cope with significant deviation in electroencephalography (EEG) observed in the sessions occurring shortly before and during the race day. Changes in cognitive state as a result of stress, arousal level, and fatigue, associated with the competition challenge and performance pressure, were likely contributing factors to the non-stationary effects that resulted in the BCI and pilot achieving suboptimal performance on race day. Trial registration not registered. \u00c2\u00a9 2022, The Author(s).",
      "authors": [
        "Korik, Attila",
        "McCreadie, Karl",
        "McShane, Niall",
        "Du Bois, Naomi",
        "Khodadadzadeh, Massoud",
        "Stow, Jacqui",
        "McElligott, Jacinta",
        "Carroll, \u00c1ine",
        "Coyle, Damien"
      ],
      "categories": null,
      "citations": 2,
      "comments": null,
      "databases": [
        "Scopus",
        "PubMed"
      ],
      "doi": "10.1186/s12984-022-01073-9",
      "keywords": [
        "D016428 Journal Article",
        "N Brain\u2013computer interface (BCI)",
        "N Tetraplegia",
        "N Alternative and augmentative and assistive communication (AAC) device",
        "N Neurogaming",
        "D013485 Research Support, Non-U.S. Gov't",
        "N Neurofeedback",
        "N Competition",
        "N Motor imagery",
        "N Long-term training",
        "N Electroencephalography (EEG)"
      ],
      "number_of_pages": null,
      "pages": "95",
      "publication": {
        "category": "Journal",
        "cite_score": 8.8,
        "is_potentially_predatory": false,
        "isbn": null,
        "issn": "1743-0003",
        "publisher": "BioMed Central Ltd.",
        "sjr": 1.134,
        "snip": 1.924,
        "subject_areas": [
          "Rehabilitation",
          "Health Informatics"
        ],
        "title": "Journal of neuroengineering and rehabilitation"
      },
      "publication_date": "2022-09-06",
      "selected": false,
      "title": "Competing at the Cybathlon championship for people with disabilities: long-term motor imagery brain-computer interface training of a cybathlete who has tetraplegia.",
      "urls": [
        "https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85137315202&origin=inward"
      ]
    },
    {
      "abstract": "Objective. To characterize the direction within and between brain connectivity in winning and losing players in a competitive brain-computer interface game. Approach. Ten dyads (26.9 \u00c2\u00b1 4.7 yr old, eight females and 12 males) participated in the study. In a competitive game based on neurofeedback, they used their relative alpha (RA) band power from the electrode location Pz, to control a virtual seesaw. The players in each pair were separated into winners (W) and losers (L) based on their scores. Intrabrain connectivity was analyzed using multivariate Granger causality (GC) and directed transfer function, while interbrain connectivity was analyzed using bivariate GC. Main results. Linear regression analysis revealed a significant relationship (p < 0.05) between RA and individual scores. During the game, W players maintained a higher RA than L players, although it was not higher than their baseline RA. The analysis of intrabrain GC indicated that both groups engaged in general social interactions, but only the W group succeeded in controlling their brain activity at Pz. Group L applied an inappropriate metal strategy, characterized by strong activity in the left frontal cortex, indicative of collaborative gaming. Interbrain GC showed a larger flow of information from the L to the W group, suggesting a higher capability of the W group to monitor the activity of their opponent. Significance. Both innate neurological indices and gaming mental strategies contribute to game outcomes. Future studies should investigate whether there is a causal relationship between these two factors. \u00c2\u00a9 2022 The Author(s). Published by IOP Publishing Ltd.",
      "authors": [
        "Putri, Finda",
        "Susnoschi Luca, Ioana",
        "Garcia Pedro, Jorge Abdullah",
        "Ding, Hao",
        "Vu\u010dkovi\u0107, Aleksandra"
      ],
      "categories": null,
      "citations": 3,
      "comments": null,
      "databases": [
        "Scopus",
        "PubMed"
      ],
      "doi": "10.1088/1741-2552/ac8451",
      "keywords": [
        "D016428 Journal Article",
        "N interbrain connectivity",
        "N brain computer interface",
        "D013485 Research Support, Non-U.S. Gov't",
        "N competitive gaming",
        "N multiuser",
        "N EEG"
      ],
      "number_of_pages": null,
      "pages": null,
      "publication": {
        "category": "Journal",
        "cite_score": null,
        "is_potentially_predatory": false,
        "isbn": null,
        "issn": "1741-2552",
        "publisher": null,
        "sjr": null,
        "snip": null,
        "subject_areas": [],
        "title": "Journal of neural engineering"
      },
      "publication_date": "2022-08-11",
      "selected": true,
      "title": "Winners and losers in brain computer interface competitive gaming: directional connectivity analysis.",
      "urls": [
        "https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85136062060&origin=inward"
      ]
    },
    {
      "abstract": "Nachtalb is an immersive interface that enables brain-to-brain interaction using multisensory feedback. With the help of the g.tec Unicorn Hybrid Black brain-computer-interface (BCI), brain-activity-data is measured and translated visually with the Oculus Quest 2, tactilely with the bHaptics TactSuit and auditorily with 3D Sound. This intends to create a feedback loop that turns brain activity from data-input into sensory output which directly influences the brain activity data-input again. \u00c2\u00a9 2022 Owner/Author.",
      "authors": [
        "Morat, P.",
        "Schwerdtfeger, A.",
        "Heidmann, F."
      ],
      "categories": null,
      "citations": 0,
      "comments": null,
      "databases": [
        "Scopus"
      ],
      "doi": "10.1145/3532834.3536207",
      "keywords": [],
      "number_of_pages": null,
      "pages": null,
      "publication": {
        "category": "Conference Proceedings",
        "cite_score": null,
        "is_potentially_predatory": false,
        "isbn": "9781450393690",
        "issn": null,
        "publisher": null,
        "sjr": null,
        "snip": null,
        "subject_areas": [],
        "title": "Proceedings - SIGGRAPH 2022 Immersive Pavilion"
      },
      "publication_date": "2022-08-07",
      "selected": true,
      "title": "Nachtalb: A multisensory Neurofeedback VR-Interface",
      "urls": [
        "https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85137076224&origin=inward"
      ]
    },
    {
      "abstract": "Lifestyle interventions such as exercise and mindfulness training have the potential to ameliorate mental health symptoms and restore dysregulated intrinsic connectivity network (ICN) dynamics, seen in many psychopathologies. Multiple lifestyle interventions, in combination, may interact synergistically for enhanced benefits. While the impacts of lifestyle interventions on subjective measures of mood are well-documented, their impacts on ICN dynamics are not well-established. In this study, we assessed the validity of EEG-derived measures of ICN dynamics as potential markers of mood disorders, by tracking ICN dynamics and mood symptoms through the course of a longitudinal exercise intervention. Specifically, we investigated the separate and combined effects of aerobic exercise and mindfulness-like neurofeedback training on task-linked ICN dynamics of the default mode network (DMN), central executive network (CEN), and salience network (SN). Participants were assigned pseudo-randomly into four experimental conditions\u00e2\u0080\u0094Control, Running, Neurofeedback, and Combined, performing the corresponding intervention for 16 sessions across 8 weeks. Intervention-linked changes in ICN dynamics were studied using EEG-based neuroimaging scans before and after the 8-week intervention, during which participants performed multiple blocks of autobiographical memory recall (AM) and working memory (WM) trials, designed to activate the DMN and CEN, respectively, and to activate the SN in conjunction with the task-appropriate network. The EEG-based features for classification of the three core networks had been identified in our prior research from simultaneously recorded EEG and fMRI during the same AM and WM tasks. We categorized participants as \u00e2\u0080\u009cresponders\u00e2\u0080\u009d or \u00e2\u0080\u009cnon-responders\u00e2\u0080\u009d based on whether the exercise intervention increased their aerobic capacity (VO2-max) (Running/Combined group), and/or neurofeedback increased the percentage time spent in the calm mindfulness state (Neurofeedback/Combined group). In responders, compared to each intervention alone, the combined exercise-neurofeedback intervention resulted in a more healthy CEN-SN synchrony pattern. Interestingly, non-responders to neurofeedback exhibited a maladaptive pattern of persistent, task-inappropriate DMN-SN synchrony which we speculate could be linked to depressive rumination. Furthermore, the CEN-SN synchrony at baseline predicted NFB response with up to 80% accuracy, demonstrating the potential utility of such network-based biomarkers in personalizing intervention plans. Copyright \u00c2\u00a9 2022 Shaw, Levy, Mizzi, Herman, McKinnon, Heisz and Becker.",
      "authors": [
        "Shaw, Saurabh Bhaskar",
        "Levy, Yarden",
        "Mizzi, Allison",
        "Herman, Gabrielle",
        "McKinnon, Margaret C",
        "Heisz, Jennifer J",
        "Becker, Suzanna"
      ],
      "categories": null,
      "citations": 1,
      "comments": null,
      "databases": [
        "Scopus",
        "PubMed"
      ],
      "doi": "10.3389/fnhum.2022.838614",
      "keywords": [
        "N salience network (SN)",
        "N tri-network model",
        "N default mode network (DMN)",
        "N aerobic exercise",
        "#text",
        "N neurofeedback",
        "N central executive network (CEN)",
        "N intrinsic connectivity networks (ICN)",
        "@UI",
        "N mindfulness"
      ],
      "number_of_pages": null,
      "pages": "838614",
      "publication": {
        "category": "Journal",
        "cite_score": 4.4,
        "is_potentially_predatory": false,
        "isbn": null,
        "issn": "1662-5161",
        "publisher": "Frontiers Media S.A.",
        "sjr": 0.787,
        "snip": 1.033,
        "subject_areas": [
          "Psychiatry and Mental Health",
          "Neurology",
          "Biological Psychiatry",
          "Neuropsychology and Physiological Psychology",
          "Behavioral Neuroscience"
        ],
        "title": "Frontiers in human neuroscience"
      },
      "publication_date": "2022-06-14",
      "selected": false,
      "title": "Combined Aerobic Exercise and Neurofeedback Lead to Improved Task-Relevant Intrinsic Network Synchrony.",
      "urls": [
        "https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85133499533&origin=inward"
      ]
    },
    {
      "abstract": "Real-time fMRI (rt-fMRI) neurofeedback can be used to non-invasively modulate brain activity and has shown initial effectiveness in symptom reduction for psychiatric disorders. Neurofeedback paradigms often target the neurocircuitry underlying emotion regulation, as difficulties with emotion regulation are common across many psychiatric conditions. Adolescence is a key period for the development of emotion regulation, with the parent-adolescent relationship providing an important context for learning how to modulate one\u00e2\u0080\u0099s emotions. Here, we present evidence for a novel extension of rt-fMRI neurofeedback wherein a second person (the parent) views neurofeedback from the focal participant (adolescent) and attempts to regulate the other person\u00e2\u0080\u0099s brain activity. In this proof-of-concept study, mother-adolescent dyads (n = 6; all female) participated in a dyadic neurofeedback protocol, during which they communicated via active noise-canceling microphones and headphones. During the scan, adolescents described current emotionally upsetting situations in their lives, and their mothers responded while viewing neurofeedback from the adolescent\u00e2\u0080\u0099s right anterior insular cortex (aIC)\u00e2\u0080\u0094a key hub for emotion-related processing. The mother was instructed to supportively respond to her daughter\u00e2\u0080\u0099s negative emotions and attempt to downregulate the aIC activity. Mean right aIC activation during each run was calculated for each adolescent participant, and results revealed a downward trend across the session (\u00ce\u00b2 = \u00e2\u0088\u00920.17, SE\u00ce\u00b2 = 0.19, Cohen\u00e2\u0080\u0099s f2 = 0.03). Results of this proof-of-concept study support further research using dyadic neurofeedback to target emotion-related processing. Future applications may include therapist-client dyads and continued research with parents and children. Clinical Trial Registration: [www.ClinicalTrials.gov], identifier [NCT03929263]. Copyright \u00c2\u00a9 2022 Kerr, Ratliff, Cohen, Fuller, Cosgrove, DeVille, Misaki, Morris and Bodurka.",
      "authors": [
        "Kerr, Kara L",
        "Ratliff, Erin L",
        "Cohen, Zsofia P",
        "Fuller, Stormie",
        "Cosgrove, Kelly T",
        "DeVille, Danielle C",
        "Misaki, Masaya",
        "Morris, Amanda Sheffield",
        "Bodurka, Jerzy"
      ],
      "categories": null,
      "citations": 1,
      "comments": null,
      "databases": [
        "Scopus",
        "PubMed"
      ],
      "doi": "10.3389/fnhum.2022.910951",
      "keywords": [
        "N fMRI",
        "N insula",
        "N adolescence",
        "#text",
        "N neurofeedback",
        "N parenting",
        "N dyad",
        "@UI",
        "N emotion regulation"
      ],
      "number_of_pages": null,
      "pages": "910951",
      "publication": {
        "category": "Journal",
        "cite_score": 4.4,
        "is_potentially_predatory": false,
        "isbn": null,
        "issn": "1662-5161",
        "publisher": "Frontiers Media S.A.",
        "sjr": 0.787,
        "snip": 1.033,
        "subject_areas": [
          "Psychiatry and Mental Health",
          "Neurology",
          "Biological Psychiatry",
          "Neuropsychology and Physiological Psychology",
          "Behavioral Neuroscience"
        ],
        "title": "Frontiers in human neuroscience"
      },
      "publication_date": "2022-05-26",
      "selected": true,
      "title": "Real-Time Functional Magnetic Resonance Imaging Dyadic Neurofeedback for Emotion Regulation: A Proof-of-Concept Study.",
      "urls": [
        "https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85132930547&origin=inward"
      ]
    },
    {
      "abstract": "In the original article, there was an error. In the \u00e2\u0080\u009cAuthor Contributions\u00e2\u0080\u009d section, all authors should have been assigned the same contributions. A correction has beenmade to Author Contributions. The corrected statement is shown below. Copyright \u00c2\u00a9 2022 Saul, He, Black and Charles.",
      "authors": [
        "Saul, M.A.",
        "He, X.",
        "Black, S.",
        "Charles, F."
      ],
      "categories": null,
      "citations": 0,
      "comments": null,
      "databases": [
        "Scopus"
      ],
      "doi": "10.3389/fpsyg.2022.871022",
      "keywords": [
        "two-person neuroscience",
        "hyperscanning",
        "neurofeedback",
        "social anxiety disorder (SAD)",
        "interbrain synchrony"
      ],
      "number_of_pages": null,
      "pages": null,
      "publication": {
        "category": "Journal",
        "cite_score": null,
        "is_potentially_predatory": false,
        "isbn": null,
        "issn": null,
        "publisher": null,
        "sjr": null,
        "snip": null,
        "subject_areas": [],
        "title": "Frontiers in Psychology"
      },
      "publication_date": "2022-04-08",
      "selected": false,
      "title": "Corrigendum: A Two-Person Neuroscience Approach for Social Anxiety: A Paradigm With Interbrain Synchrony and Neurofeedback(Front. Psychol., (2022), 12, (568921), 10.3389/fpsyg.2021.568921)",
      "urls": [
        "https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85128645938&origin=inward"
      ]
    },
    {
      "abstract": "Social anxiety disorder has been widely recognised as one of the most commonly diagnosed mental disorders. Individuals with social anxiety disorder experience difficulties during social interactions that are essential in the regular functioning of daily routines; perpetually motivating research into the aetiology, maintenance and treatment methods. Traditionally, social and clinical neuroscience studies incorporated protocols testing one participant at a time. However, it has been recently suggested that such protocols are unable to directly assess social interaction performance, which can be revealed by testing multiple individuals simultaneously. The principle of two-person neuroscience highlights the interpersonal aspect of social interactions that observes behaviour and brain activity from both (or all) constituents of the interaction, rather than analysing on an individual level or an individual observation of a social situation. Therefore, two-person neuroscience could be a promising direction for assessment and intervention of the social anxiety disorder. In this paper, we propose a novel paradigm which integrates two-person neuroscience in a neurofeedback protocol. Neurofeedback and interbrain synchrony, a branch of two-person neuroscience, are discussed in their own capacities for their relationship with social anxiety disorder and relevance to the paradigm. The newly proposed paradigm sets out to assess the social interaction performance using interbrain synchrony between interacting individuals, and to employ a multi-user neurofeedback protocol for intervention of the social anxiety. Copyright \u00c2\u00a9 2022 Saul, He, Black and Charles.",
      "authors": [
        "Saul, Marcia A",
        "He, Xun",
        "Black, Stuart",
        "Charles, Fred"
      ],
      "categories": null,
      "citations": 4,
      "comments": null,
      "databases": [
        "Scopus",
        "PubMed"
      ],
      "doi": "10.3389/fpsyg.2021.568921",
      "keywords": [
        "N interbrain synchrony",
        "D016428 Journal Article",
        "N social anxiety disorder (SAD)",
        "N two-person neuroscience",
        "D016454 Review",
        "N neurofeedback",
        "N hyperscanning"
      ],
      "number_of_pages": null,
      "pages": "568921",
      "publication": {
        "category": "Journal",
        "cite_score": 4.5,
        "is_potentially_predatory": false,
        "isbn": null,
        "issn": "1664-1078",
        "publisher": "Frontiers Media S.A.",
        "sjr": 0.891,
        "snip": 1.422,
        "subject_areas": [
          "Psychology (all)"
        ],
        "title": "Frontiers in psychology"
      },
      "publication_date": "2022-01-14",
      "selected": true,
      "title": "A Two-Person Neuroscience Approach for Social Anxiety: A Paradigm With Interbrain Synchrony and Neurofeedback.",
      "urls": [
        "https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85123947219&origin=inward"
      ]
    },
    {
      "abstract": "Emotional eating is commonly defined as the tendency to (over)eat in response to emotion. Insofar as it involves the (over)consumption of high-calorie palatable foods, emotional eating is a maladaptive behavior that can lead to eating disorders, and ultimately to metabolic disorders and obesity. Emotional eating is associated with eating disorder subtypes and with abnormalities in emotion processing at a behavioral level. However, not enough is known about the neural pathways involved in both emotion processing and food intake. In this review, we provide an overview of recent neuroimaging studies, highlighting the brain correlates between emotions and eating behavior that may be involved in emotional eating. Interaction between neural and neuro-endocrine pathways (HPA axis) may be involved. In addition to behavioral interventions, there is a need for a holistic approach encompassing both neural and physiological levels to prevent emotional eating. Based on recent imaging, this review indicates that more attention should be paid to prefrontal areas, the insular and orbitofrontal cortices, and reward pathways, in addition to regions that play a major role in both the cognitive control of emotions and eating behavior. Identifying these brain regions could allow for neuromodulation interventions, including neurofeedback training, which deserves further investigation.",
      "authors": [
        "Godet, Ambre",
        "Fortier, Alexandra",
        "Bannier, Elise",
        "Coquery, Nicolas",
        "Val-Laillet, David"
      ],
      "categories": null,
      "citations": null,
      "comments": null,
      "databases": [
        "PubMed"
      ],
      "doi": "10.1007/s11154-021-09700-x",
      "keywords": [
        "N Emotion regulation",
        "D016428 Journal Article",
        "N Stress",
        "D016454 Review",
        "D013485 Research Support, Non-U.S. Gov't",
        "N Therapeutic intervention strategies",
        "N Neuroimaging",
        "N Gut-brain axis",
        "N Emotional eating"
      ],
      "number_of_pages": 25,
      "pages": "807-831",
      "publication": {
        "category": "Journal",
        "cite_score": 13.0,
        "is_potentially_predatory": false,
        "isbn": null,
        "issn": "1573-2606",
        "publisher": "Springer Netherlands",
        "sjr": 1.835,
        "snip": 2.34,
        "subject_areas": [
          "Endocrinology",
          "Endocrinology, Diabetes and Metabolism"
        ],
        "title": "Reviews in endocrine & metabolic disorders"
      },
      "publication_date": "2022-01-04",
      "selected": false,
      "title": "Interactions between emotions and eating behaviors: Main issues, neuroimaging contributions, and innovative preventive or corrective strategies.",
      "urls": []
    },
    {
      "abstract": "A framework for discussing the neural underpinning of communication processes is proposed from the perspective of synchronization. This framework comprises four stages: (i) characterizing the target communication in a two-dimensional space defined by symbolic/embodied (non-symbolic) and voluntary/involuntary processes, (ii) focusing on the level of analysis of synchrony on an ontological hierarchy, (iii) constructing a neurocognitive model to simulate neural dynamics, and (iv) testing an empirical hypothesis on the neural underpinning of communication through model-based electroencephalography (EEG) connectivity neurofeedback in communication experiments with the cognitive neural mass/field model. We performed two EEG experiments, implementing the former two stages: the formation of symbolic communication, in which communication changed from voluntary to involuntary, and intentional switching in embodied communication, which involves switching between voluntary and involuntary behavior. The findings on communicative brain activities from these experiments culminated in the hypothesis that three brain regions are involved in interpreting symbols and motor intentions as well as in social coordination, in which one region might be shared by two modalities and the other two are specific to each modality. As we could perform the experiments and their analyses and derive a working hypothesis based on the framework, we claim that the proposed framework may be vital for investigating the neural underpinnings of communication in two different modalities in a unified manner. \u00c2\u00a9 2022 The Author.",
      "authors": [
        "Fujiwara, M.",
        "Hashimoto, T."
      ],
      "categories": null,
      "citations": 0,
      "comments": null,
      "databases": [
        "Scopus"
      ],
      "doi": "10.57417/jrnal.9.3_221",
      "keywords": [
        "Framework",
        "Neurocognitive modeling",
        "Electroencephalogram",
        "Synchronization",
        "Communication"
      ],
      "number_of_pages": 8,
      "pages": "221-228",
      "publication": {
        "category": "Journal",
        "cite_score": null,
        "is_potentially_predatory": false,
        "isbn": null,
        "issn": null,
        "publisher": null,
        "sjr": null,
        "snip": null,
        "subject_areas": [],
        "title": "Journal of Robotics, Networking and Artificial Life"
      },
      "publication_date": "2022-01-01",
      "selected": false,
      "title": "Proposing Discussion Framework and Hypothesis for Neural Underpinnings of Human Symbolic and Embodied Communication from Synchronization Viewpoint",
      "urls": [
        "https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85176584099&origin=inward"
      ]
    },
    {
      "abstract": "Nachtalb is an immersive interface that enables brain-to-brain interaction using multisensory feedback. With the help of the g.tec Unicorn Hybrid Black brain-computer-interface (BCI), brain-activity-data is measured and translated visually with the Oculus Quest 2, tactilely with the bHaptics TactSuit and auditorily with 3D Sound. This intends to create a feedback loop that turns brain activity from data-input into sensory output which directly influences the brain activity data-input again. \u00c2\u00a9 2021 Owner/Author.",
      "authors": [
        "Morat, P.",
        "Schwerdtfeger, A.",
        "Heidmann, F."
      ],
      "categories": null,
      "citations": 3,
      "comments": null,
      "databases": [
        "Scopus"
      ],
      "doi": "10.1145/3478514.3487621",
      "keywords": [
        "extended reality",
        "virtual reality",
        "neurofeedback",
        "brain computer interfaces"
      ],
      "number_of_pages": null,
      "pages": null,
      "publication": {
        "category": "Conference Proceedings",
        "cite_score": null,
        "is_potentially_predatory": false,
        "isbn": "9781450390750",
        "issn": null,
        "publisher": null,
        "sjr": null,
        "snip": null,
        "subject_areas": [],
        "title": "Proceedings - SIGGRAPH Asia 2021 XR, SA 2021"
      },
      "publication_date": "2021-12-14",
      "selected": false,
      "title": "Nachtalb: A multisensory Neurofeedback VR-Interface",
      "urls": [
        "https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85123790937&origin=inward"
      ]
    },
    {
      "abstract": "Brain-computer interfaces (BCIs) can be used in real-time fMRI neurofeedback (rtfMRI NF) investigations to provide feedback on brain activity to enable voluntary regulation of the blood-oxygen-level dependent (BOLD) signal from localized brain regions. However, the temporal pattern of successful self-regulation is dynamic and complex. In particular, the general linear model (GLM) assumes fixed temporal model functions and misses other dynamics. We propose a novel data-driven analyses approach for rtfMRI NF using intersubject covariance (ISC) analysis. The potential of ISC was examined in a reanalysis of data from 21 healthy individuals and nine patients with post-traumatic stress-disorder (PTSD) performing up-regulation of the anterior cingulate cortex (ACC). ISC in the PTSD group differed from healthy controls in a network including the right inferior frontal gyrus (IFG). In both cohorts, ISC decreased throughout the experiment indicating the development of individual regulation strategies. ISC analyses are a promising approach to reveal novel information on the mechanisms involved in voluntary self-regulation of brain signals and thus extend the results from GLM-based methods. ISC enables a novel set of research questions that can guide future neurofeedback and neuroimaging investigations. \u00c2\u00a9 2021 World Scientific Publishing Company.",
      "authors": [
        "Zweerings, Jana",
        "Sarasj\u00e4rvi, Kiira",
        "Mathiak, Krystyna Anna",
        "Iglesias-Fuster, Jorge",
        "Cong, Fengyu",
        "Zvyagintsev, Mikhail",
        "Mathiak, Klaus"
      ],
      "categories": null,
      "citations": 2,
      "comments": null,
      "databases": [
        "Scopus",
        "PubMed"
      ],
      "doi": "10.1142/S012906572150043X",
      "keywords": [
        "N data-driven analysis approach",
        "N PTSD",
        "N self-regulation",
        "#text",
        "N intersubject covariance (ISC) analysis",
        "N Real-time fMRI neurofeedback",
        "@UI"
      ],
      "number_of_pages": null,
      "pages": "2150043",
      "publication": {
        "category": "Journal",
        "cite_score": null,
        "is_potentially_predatory": false,
        "isbn": null,
        "issn": "1793-6462",
        "publisher": null,
        "sjr": null,
        "snip": null,
        "subject_areas": [],
        "title": "International journal of neural systems"
      },
      "publication_date": "2021-09-22",
      "selected": false,
      "title": "Data-Driven Approach to the Analysis of Real-Time FMRI Neurofeedback Data: Disorder-Specific Brain Synchrony in PTSD.",
      "urls": [
        "https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85117110046&origin=inward"
      ]
    },
    {
      "abstract": "SIGNIFICANCE STATEMENT \u03b1 Oscillations in sensory cortex, under frontal control, desynchronize during attentive preparation. Here, in a selective attention study with simultaneous EEG in humans of either sex, we first demonstrate that diminished anticipatory \u03b1 synchrony between the mid-frontal region of the dorsal attention network and ventral visual sensory cortex [frontal-sensory synchrony (FSS)] significantly correlates with greater task performance. Then, in a double-blind, randomized controlled study in healthy adults, we implement closed-loop neurofeedback (NF) of the anticipatory \u03b1 FSS signal over 10 d of training. We refer to this closed-loop experimental approach of rapid NF integrated within a cognitive task as cognitive NF (cNF). We show that cNF results in significant trial-by-trial modulation of the anticipatory \u03b1 FSS measure during training, concomitant plasticity of stimulus-evoked \u03b1/\u03b8 responses, as well as transfer of benefits to response time (RT) improvements on a standard test of sustained attention. In a third study, we implement cNF training in children with attention deficit hyperactivity disorder (ADHD), replicating trial-by-trial modulation of the anticipatory \u03b1 FSS signal as well as significant improvement of sustained attention RTs. These first findings demonstrate the basic mechanisms and translational utility of rapid cognitive-task-integrated NF. When humans prepare to attend to incoming sensory information, neural oscillations in the \u03b1 band (8-14 Hz) undergo desynchronization under the control of prefrontal cortex. Here, in an attention study with electroencephalography, we first show that frontal-sensory synchrony (FSS) of \u03b1 oscillations during attentive preparation significantly correlates with task performance. Then, in a randomized controlled study in healthy adults, we show that neurofeedback (NF) training of this \u03b1 FSS signal within the attention task is feasible. We show that this rapid cognitive NF (cNF) approach engenders plasticity of stimulus-evoked neural responses, and improves performance on a standard test of sustained attention. In a final study, we implement cNF in children with attention deficit hyperactivity disorder (ADHD), replicating the improvement of sustained attention found in adults.",
      "authors": [
        "Mishra, Jyoti",
        "Lowenstein, Mira",
        "Campusano, Richard",
        "Hu, Yihan",
        "Diaz-Delgado, Juan",
        "Ayyoub, Jacqueline",
        "Jain, Rajat",
        "Gazzaley, Adam"
      ],
      "categories": null,
      "citations": 5,
      "comments": null,
      "databases": [
        "Scopus",
        "PubMed"
      ],
      "doi": "10.1523/JNEUROSCI.3235-20.2021",
      "keywords": [
        "N neuroplasticity",
        "D016428 Journal Article",
        "N dorsal attention network",
        "N brain computer interface",
        "D052061 Research Support, N.I.H., Extramural",
        "D013485 Research Support, Non-U.S. Gov't",
        "D016449 Randomized Controlled Trial",
        "N cognitive neurofeedback",
        "N attention deficit hyperactivity disorder",
        "N synchrony"
      ],
      "number_of_pages": 12,
      "pages": "5699-5710",
      "publication": {
        "category": "Journal",
        "cite_score": 9.9,
        "is_potentially_predatory": false,
        "isbn": null,
        "issn": "1529-2401",
        "publisher": "Society for Neuroscience",
        "sjr": 2.35,
        "snip": 1.471,
        "subject_areas": [
          "Neuroscience (all)"
        ],
        "title": "The Journal of neuroscience : the official journal of the Society for Neuroscience"
      },
      "publication_date": "2021-05-21",
      "selected": false,
      "title": "Closed-Loop Neurofeedback of \u03b1 Synchrony during Goal-Directed Attention.",
      "urls": [
        "https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85109576142&origin=inward"
      ]
    },
    {
      "abstract": "Neurophysiological evidence shows that interpersonal action coordination is accompanied by interbrain synchronization (IBS). However, the functional significance of this association remains unclear. Using two experimental designs, we explored whether IBS is amenable to neurofeedback (NFB). Feedback was provided either as two balls approaching each other (so-called ball design), or as two pendula, each reflecting the oscillatory activity of one of the two participants (so-called pendulum design). The NFB was provided at delta (i.e., 2.5 Hz) and theta (i.e., 5\u00c2 Hz) electroencephalography frequencies, and manipulated by enhanced and inverse feedback. We showed that the participants were able to increase IBS by using NFB, especially when it was fed back at the theta frequency. Apart from intra- and interbrain coupling, other oscillatory activities (e.g., power spectral density, peak amplitude, and peak frequency) also changed during the task compared with the rest. Moreover, all the measures showed specific correlations with the subjective postsurvey item scores, reflecting subjective feeling and appraisal. We conclude that the use of IBS for NFB might help in specifying the contribution of IBS to interpersonal action coordination and in providing important information about the neural mechanisms of social interaction and the causal dimension of IBS. \u00c2\u00a9 2021 The Authors. Annals of the New York Academy of Sciences published by Wiley Periodicals LLC on behalf of New York Academy of Sciences",
      "authors": [
        "M\u00fcller, Viktor",
        "Perdikis, Dionysios",
        "Mende, Melinda A",
        "Lindenberger, Ulman"
      ],
      "categories": null,
      "citations": 10,
      "comments": null,
      "databases": [
        "Scopus",
        "bioRxiv",
        "PubMed"
      ],
      "doi": "10.1111/nyas.14605",
      "keywords": [
        "N interbrain synchrony",
        "D016428 Journal Article",
        "N power spectral density",
        "D013485 Research Support, Non-U.S. Gov't",
        "N social interaction",
        "N subjective feeling and appraisal",
        "N interpersonal neurofeedback"
      ],
      "number_of_pages": 21,
      "pages": "48-68",
      "publication": {
        "category": "Journal",
        "cite_score": 11.0,
        "is_potentially_predatory": false,
        "isbn": null,
        "issn": "1749-6632",
        "publisher": "Wiley-Blackwell",
        "sjr": 1.626,
        "snip": 1.878,
        "subject_areas": [
          "History and Philosophy of Science",
          "Neuroscience (all)",
          "neuroscience",
          "Biochemistry, Genetics and Molecular Biology (all)"
        ],
        "title": "Annals of the New York Academy of Sciences"
      },
      "publication_date": "2021-05-06",
      "selected": true,
      "title": "Interacting brains coming in sync through their minds: an interbrain neurofeedback study.",
      "urls": [
        "https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85110380307&origin=inward",
        "https://doi.org/10.1101/2020.12.16.423070"
      ]
    },
    {
      "abstract": "Mental health problems remain among the main generators of costs within and beyond the health care system. Psychotherapy, the tool of choice in their treatment, is qualified by social interaction, and cooperation within the therapist-patient-dyad. Research into the factors influencing therapy success to date is neither exhaustive nor conclusive. Among many others, the quality of the relationship between therapist and patient stands out regardless of the followed psychotherapy school. Emerging research points to a connection between interpersonal synchronization within the sessions and therapy outcome. Consequently, it can be considered significant for the shaping of this relationship. The framework of Embodied Cognition assumes bodily and neuronal correlates of thinking. Therefore, the present paper reviews investigations on interpersonal, non-verbal synchrony in two domains: firstly, studies on interpersonal synchrony in psychotherapy are reviewed (synchronization of movement). Secondly, findings on neurological correlates of interpersonal synchrony (assessed with EEG, fMRI, fNIRS) are summarized in a narrative manner. In addition, the question is asked whether interpersonal synchrony can be achieved voluntarily on an individual level. It is concluded that there might be mechanisms which could give more insights into therapy success, but as of yet remain uninvestigated. Further, the framework of embodied cognition applies more to the current body of evidence than classical cognitivist views. Nevertheless, deeper research into interpersonal physical and neurological processes utilizing the framework of Embodied Cognition emerges as a possible route of investigation on the road to lower drop-out rates, improved and quality-controlled therapeutic interventions, thereby significantly reducing healthcare costs. \u00c2\u00a9 Copyright \u00c2\u00a9 2021 Mende and Schmidt.",
      "authors": [
        "Mende, Melinda A",
        "Schmidt, Hendrikje"
      ],
      "categories": null,
      "citations": 9,
      "comments": null,
      "databases": [
        "Scopus",
        "PubMed"
      ],
      "doi": "10.3389/fpsyt.2021.562490",
      "keywords": [
        "N fMRI",
        "N embodied cognition",
        "D016428 Journal Article",
        "N fNIRS",
        "D016454 Review",
        "N neurofeedback",
        "N motion energy analysis",
        "N psychotherapy",
        "N EEG",
        "N hyperscanning"
      ],
      "number_of_pages": null,
      "pages": "562490",
      "publication": {
        "category": "Journal",
        "cite_score": 5.4,
        "is_potentially_predatory": false,
        "isbn": null,
        "issn": "1664-0640",
        "publisher": "Frontiers Media S.A.",
        "sjr": 1.222,
        "snip": 1.265,
        "subject_areas": [
          "Psychiatry and Mental Health"
        ],
        "title": "Frontiers in psychiatry"
      },
      "publication_date": "2021-03-22",
      "selected": false,
      "title": "Psychotherapy in the Framework of Embodied Cognition-Does Interpersonal Synchrony Influence Therapy Success?",
      "urls": [
        "https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85103631481&origin=inward"
      ]
    },
    {
      "abstract": "Electroencephalographic activity over the sensorimotor cortex has been one of the best studied targets for neurofeedback therapy. Parkinson\u00e2\u0080\u0099s disease patients display abnormal brain rhythms in the motor cortex caused by increased synchrony in the basal ganglia-cortical pathway. Few studies have examined the effects of sensorimotor-based neurofeedback therapy in humans with PD. In this pilot study, one patient, diagnosed with Parkinson\u00e2\u0080\u0099s disease 10 years prior, participated in two consecutive days of EEG neurofeedback training to increase sensorimotor rhythm (SMR) power over the motor cortex. Using a visual display connected to ongoing EEG, the patient voluntarily manipulated SMR power, and he/she was awarded with points to positively reinforce successful increases over a predefined threshold. Recorded EEG data were source localized and analyzed for the occurrence of high amplitude bursts of SMR activity as well as bursts in the beta frequency band in the precentral cortex. The rate of SMR bursts increased with each subsequent training session, while the rate of beta bursts only increased on the final session. Relative power in the beta band, a marker of PD symptom severity, decreased over the motor cortex in the later session. These results provide first evidence for the feasibility of SMR neurofeedback training as a non-invasive therapy for reducing Parkinson\u00e2\u0080\u0099s disease related activity and upregulating SMR in the human motor cortex. \u00c2\u00a9 Copyright \u00c2\u00a9 2021 Cook, Pfeifer and Tass.",
      "authors": [
        "Cook, Alexander J",
        "Pfeifer, Kristina J",
        "Tass, Peter A"
      ],
      "categories": null,
      "citations": 4,
      "comments": null,
      "databases": [
        "Scopus",
        "PubMed"
      ],
      "doi": "10.3389/fnins.2021.623317",
      "keywords": [
        "N Parkinson\u2019s disease",
        "@UI",
        "N electroencephalography",
        "N neurofeedback",
        "N sensorimotor rhythm",
        "N beta burst",
        "#text"
      ],
      "number_of_pages": null,
      "pages": "623317",
      "publication": {
        "category": "Journal",
        "cite_score": 6.8,
        "is_potentially_predatory": false,
        "isbn": null,
        "issn": "1662-4548",
        "publisher": "Frontiers Media S.A.",
        "sjr": 1.161,
        "snip": 1.221,
        "subject_areas": [
          "Neuroscience (all)"
        ],
        "title": "Frontiers in neuroscience"
      },
      "publication_date": "2021-02-04",
      "selected": false,
      "title": "A Single Case Feasibility Study of Sensorimotor Rhythm Neurofeedback in Parkinson's Disease.",
      "urls": [
        "https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85101252380&origin=inward"
      ]
    },
    {
      "abstract": "Autism spectrum disorder is (ASD) characterized by a persisting triad of impairments of social interaction, language as well as inflexible, stereotyped and ritualistic behaviors. Increasingly, scientific evidence suggests a neurobiological basis of these emotional, social and cognitive deficits in individuals with ASD. The aim of this randomized controlled brain self-regulation intervention study was to investigate whether the core symptomatology of ASD could be reduced via an electroencephalography (EEG) based brain self-regulation training of Slow Cortical Potentials (SCP). 41 male adolescents with ASD were recruited and allocated to a) an experimental group undergoing 24 sessions of EEG-based brain training (n1 = 21), or to b) an active control group undergoing conventional treatment (n2 = 20), that is, clinical counseling during a 3-months intervention period. We employed real-time neurofeedback training recorded from a fronto-central electrode intended to enable participants to volitionally regulate their brain activity. Core autistic symptomatology was measured at six time points during the intervention and analyzed with Bayesian multilevel approach to characterize changes in core symptomatology. Additional Bayesian models were formulated to describe the neural dynamics of the training process as indexed by SCP (time-domain) and power density (PSD, frequency-domain) measures. The analysis revealed a substantial improvement in the core symptomatology of ASD in the experimental group (reduction of 21.38 points on the Social Responsiveness Scale, SD = 5.29), which was slightly superior to that observed in the control group (evidence Ratio = 5.79). Changes in SCP manifested themselves as different trajectories depending on the different feedback conditions and tasks. Further, the model of PSD revealed a continuous decrease in delta power, parallel to an increase in alpha power. Most notably, a non-linear (quadratic) model turned out to be better at predicting the data than a linear model across all analyses. Taken together, our analyses suggest that behavioral and neural processes of change related to neurofeedback training are complex and non-linear. Moreover, they have implications for the design of future trials and training protocols. \u00c2\u00a9 2021 The Author(s)",
      "authors": [
        "Konicar, L",
        "Radev, S",
        "Prillinger, K",
        "Kl\u00f6bl, M",
        "Diehm, R",
        "Birbaumer, N",
        "Lanzenberger, R",
        "Plener, P L",
        "Poustka, L"
      ],
      "categories": null,
      "citations": 9,
      "comments": null,
      "databases": [
        "Scopus",
        "PubMed"
      ],
      "doi": "10.1016/j.nicl.2021.102557",
      "keywords": [
        "N Bayesian multilevel model",
        "D016428 Journal Article",
        "D013485 Research Support, Non-U.S. Gov't",
        "D016449 Randomized Controlled Trial",
        "N Volitional brain activity modification",
        "N Slow Cortical Potential training",
        "N EEG Neurofeedback",
        "N Autism Spectrum Disorder",
        "N Adolescents"
      ],
      "number_of_pages": null,
      "pages": "102557",
      "publication": {
        "category": "Journal",
        "cite_score": 8.1,
        "is_potentially_predatory": false,
        "isbn": null,
        "issn": "2213-1582",
        "publisher": "Elsevier BV",
        "sjr": 1.395,
        "snip": 1.324,
        "subject_areas": [
          "Cognitive Neuroscience",
          "Neurology (clinical)",
          "Radiology, Nuclear Medicine and Imaging",
          "Neurology"
        ],
        "title": "NeuroImage. Clinical"
      },
      "publication_date": "2021-01-09",
      "selected": false,
      "title": "Volitional modification of brain activity in adolescents with Autism Spectrum Disorder: A Bayesian analysis of Slow Cortical Potential neurofeedback.",
      "urls": [
        "https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85099625048&origin=inward"
      ]
    },
    {
      "abstract": "Functional near-infrared spectroscopy (fNIRS) is known as a versatile and much promising noninvasive neuroimaging method extensively used nowadays in developmental cognitive neuroscience for measuring neural substrates underlying mental activity and processes involved in cognition, social interaction, and learning over the life span. This paper focuses on a summary of the basic principles of fNIRS technique concerning its design, implementation, and measurements. A detailed review of fNIRS strengths and benefits over other neuroimaging modalities is provided. One of the aims is to illustrate the fNIRS advantages by findings of recent studies from the wide variety of fNIRS applications: language, numerical cognition, executive functions, emotions, memory, motor functions, with a particular focus on neuroimaging in naturalistic environments. Moreover, the overview of recent implementations as well as future perspectives of fNIRS application in accordance with current trends in developmental sciences domain is considered: hyperscanning (simultaneous multi-subject measurements); multimodal measurements (combining several neuroimaging modalities in one research); neurofeedback trainings for enhancing cognitive functions in children and adults; use of interactive immersive stimuli and virtual reality (VR) in developmental cognitive neuroscience. Important limitations and challenges of fNIRS within healthy individuals in daily life settings are highlighted, as well as possible technical solutions and methodological procedures of their overcoming are discussed. \u00c2\u00a9 2021 Maik Nauka-Interperiodica Publishing. All rights reserved.",
      "authors": [
        "Sitnikova, M.A.",
        "Malykh, S.B."
      ],
      "categories": null,
      "citations": 0,
      "comments": null,
      "databases": [
        "Scopus"
      ],
      "doi": "10.31857/S0044467721040092",
      "keywords": [
        "developmental cognitive neuroscience",
        "neuroimaging",
        "development",
        "functional near-infrared spectroscopy"
      ],
      "number_of_pages": 15,
      "pages": "485-499",
      "publication": {
        "category": "Journal",
        "cite_score": 0.6,
        "is_potentially_predatory": false,
        "isbn": null,
        "issn": "00444677",
        "publisher": "Maik Nauka Publishing / Springer SBM",
        "sjr": 0.133,
        "snip": 0.282,
        "subject_areas": [
          "Neuroscience (all)"
        ],
        "title": "Zhurnal Vysshei Nervnoi Deyatelnosti Imeni I.P. Pavlova"
      },
      "publication_date": "2021-01-01",
      "selected": false,
      "title": "FUNCTIONAL NEAR-INFRARED SPECTROSCOPY APPLICATIONS IN DEVELOPMENTAL COGNITIVE NEUROSCIENCE",
      "urls": [
        "https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85136230105&origin=inward"
      ]
    },
    {
      "abstract": "Meditation practice entails moments of distraction dominated by self-generated thoughts (i.e. mind wandering). Initial studies assessing the neural correlates of mind wandering in the context of meditation practice have identified an important role of theta (4\u00e2\u0080\u00938\u00c2 Hz) and alpha (8\u00e2\u0080\u009314\u00c2 Hz) neural oscillations. In this study, we use a probe-caught experience sampling paradigm to assess spectral changes in the theta-alpha frequency range during mind wandering in the context of breath focus meditation. Electroencephalography (EEG) was measured in 25 novice meditation practitioners during a breath focus task in which they were repeatedly probed to report whether they were focusing on their breath or thinking about something else. Mind wandering episodes were associated with an increase in the amplitude and a decrease in the frequency of theta (4\u00e2\u0080\u00938\u00c2 Hz) oscillations. Conversely, alpha oscillations (8\u00e2\u0080\u009314\u00c2 Hz) were shown to decrease in amplitude and increase in frequency during mind wandering relative to breath focus. In addition, mind wandering episodes were shown to be accompanied by increased harmonicity and phase synchrony between alpha and theta rhythms. Because similar spectral changes in the theta-alpha frequency range have been reported during controlled cognitive processes involving memory and executive control, we speculate that mind wandering and controlled processes could share some neurocognitive mechanisms. From a translational perspective, this study indicates that oscillatory activity in the theta-alpha frequency range could form adequate parameters for developing EEG-neurofeedback protocols aimed at facilitating the detection of mind wandering during meditation practice. \u00c2\u00a9 2020 Federation of European Neuroscience Societies and John Wiley & Sons Ltd",
      "authors": [
        "Rodriguez-Larios, Julio",
        "Alaerts, Kaat"
      ],
      "categories": null,
      "citations": 14,
      "comments": null,
      "databases": [
        "Scopus",
        "PubMed"
      ],
      "doi": "10.1111/ejn.15073",
      "keywords": [
        "N mind wandering",
        "N meditation",
        "D016428 Journal Article",
        "N neural oscillations",
        "D013485 Research Support, Non-U.S. Gov't",
        "N EEG"
      ],
      "number_of_pages": 14,
      "pages": "1855-1868",
      "publication": {
        "category": "Journal",
        "cite_score": 6.3,
        "is_potentially_predatory": false,
        "isbn": null,
        "issn": "1460-9568",
        "publisher": "Wiley-Blackwell Publishing Ltd",
        "sjr": 1.044,
        "snip": 0.891,
        "subject_areas": [
          "Neuroscience (all)"
        ],
        "title": "The European journal of neuroscience"
      },
      "publication_date": "2020-12-18",
      "selected": false,
      "title": "EEG alpha-theta dynamics during mind wandering in the context of breath focus meditation: An experience sampling approach with novice meditation practitioners.",
      "urls": [
        "https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85097671065&origin=inward"
      ]
    },
    {
      "abstract": "Enhanced beta oscillations (13-30 Hz) in the subthalamic nucleus (STN) have been associated with clinical impairment in Parkinsons disease (PD), such as rigidity and slowing of movement, with the suppression of STN beta activity through medication or deep brain stimulation correlating with improvement in these symptoms. Recent studies have also emphasized the importance of the time dynamics of the STN beta oscillations in the pathology of PD. An increased probability of prolonged beta bursts, defined as periods when beta band power exceeds a certain threshold, was more closely related to motor symptoms than average power; and the occurrence of beta bursts just before a go cue slows cued movements. Here we adopted a sequential neurofeedback-behaviour task paradigm to investigate whether patients with PD can learn to suppress pathological beta oscillations recorded from STN with neurofeedback training and whether the training improves the motor performance. Results from twelve patients showed that, compared with the control condition, the neurofeedback training led to reduced incidence and duration of beta bursts in the STN local field potential (LFP) and also reduced the synchrony between the STN LFP and cortical activities measured through EEG in the beta frequency band. The changes were accompanied by a reduced reaction time in cued movements. These results suggest that volitional suppression of beta bursts facilitated by neurofeedback training could help improve movement initialisation in Parkinsons disease.\\n\\nSignificance StatementOur study suggests that a neurofeedback paradigm which focuses on the time dynamics of the target neural signal can facilitate volitional suppression of pathological beta oscillations in the STN in Parkinsons disease. Neurofeedback training was accompanied by reduced reaction time in cued movements, but associated with increased tremor in tremulous patients. The results strengthen the link between subthalamic beta oscillations and motor impairment, and also suggest that different symptom-specific neural signals could be targeted to improve neuromodulation strategies, either through brain stimulation or neurofeedback training, for patients with tremor and bradykinesia-rigidity.",
      "authors": [
        "He, Shenghong",
        "Mostofi, Abteen",
        "Syed, Emilie",
        "Torrecillos, Flavie",
        "Tinkhauser, Gerd",
        "Fischer, Petra",
        "Pogosyan, Alek",
        "Hasegawa, Harutomo",
        "Li, Yuanqing",
        "Ashkan, Keyoumars",
        "Pereira, Erlick",
        "Brown, Peter",
        "Tan, Huiling"
      ],
      "categories": null,
      "citations": 11,
      "comments": null,
      "databases": [
        "Scopus",
        "bioRxiv",
        "PubMed"
      ],
      "doi": "10.7554/eLife.60979",
      "keywords": [
        "N neuroscience",
        "N human",
        "D016428 Journal Article",
        "D013485 Research Support, Non-U.S. Gov't",
        "N neurofeedback",
        "N beta oscillations",
        "N beta burst",
        "N parkinson's disease",
        "N parkinsonian tremor"
      ],
      "number_of_pages": 20,
      "pages": "1-20",
      "publication": {
        "category": "Journal",
        "cite_score": 12.3,
        "is_potentially_predatory": false,
        "isbn": null,
        "issn": "2050-084X",
        "publisher": "eLife Sciences Publications",
        "sjr": 4.251,
        "snip": 1.743,
        "subject_areas": [
          "Neuroscience (all)",
          "neuroscience",
          "Biochemistry, Genetics and Molecular Biology (all)",
          "Immunology and Microbiology (all)"
        ],
        "title": "bioRxiv"
      },
      "publication_date": "2020-11-18",
      "selected": false,
      "title": "Subthalamic beta-targeted neurofeedback speeds up movement initiation but increases tremor in Parkinsonian patients.",
      "urls": [
        "https://doi.org/10.1101/687582",
        "https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85097004214&origin=inward"
      ]
    },
    {
      "abstract": "When we feel connected or engaged during social behavior, are our brains in fact \"in sync\" in a formal, quantifiable sense? Most studies addressing this question use highly controlled tasks with homogenous subject pools. In an effort to take a more naturalistic approach, we collaborated with art institutions to crowd-source neuroscience data: Over the course of 5 years, we collected electroencephalogram (EEG) data from thousands of museum and festival visitors who volunteered to engage in a 10-minute face-to-face interaction. Pairs of participants with various levels of familiarity sat inside the Mutual Wave Machine--an art/science neurofeedback installation that uses Brain-Computer Interface technology (BCI) to translate real-time correlations of each pairs EEG activity into light patterns. Because such inter-participant EEG correlations are prone to noise contamination, in subsequent offline analyses we computed inter-brain synchrony using Imaginary Coherence and Projected Power Correlations, two synchrony metrics that are largely immune to instantaneous, noise-driven correlations. When applying these methods to two subsets of recorded data with the most consistent protocols, we found that pairs trait empathy, social closeness, engagement, and social behavior (joint action and eye contact) consistently predicted the extent to which their brain activity became synchronized, most prominently in low alpha ([~]7-10 Hz) and beta ([~]20-22 Hz) oscillations. These findings support an account where shared engagement and joint action drive coupled neural activity and behavior during dynamic, naturalistic social interactions. To our knowledge, this work constitutes a first demonstration that an interdisciplinary, real-world, crowdsourcing neuroscience approach may provide a promising method to collect large, rich datasets pertaining to real-life face-to-face interactions. Additionally, it is a demonstration of how the general public can participate and engage in the scientific process outside of the laboratory. Institutions such as museums, galleries, or any other organization where the public actively engages out of self-motivation, can help facilitate this type of citizen science research, and support the collection of large datasets under scientifically controlled experimental conditions. To further enhance the public interest for the out-of-the-lab experimental approach, the data and results of this study are disseminated through a website tailored to the general public (wp.nyu.edu/mutualwavemachine).",
      "authors": [
        "Dikker, Suzanne",
        "Michalareas, Georgios",
        "Oostrik, Matthias",
        "Serafimaki, Amalia",
        "Kahraman, Hasibe Melda",
        "Struiksma, Marijn E",
        "Poeppel, David"
      ],
      "categories": null,
      "citations": 48,
      "comments": null,
      "databases": [
        "Scopus",
        "bioRxiv",
        "PubMed"
      ],
      "doi": "10.1016/j.neuroimage.2020.117436",
      "keywords": [
        "N Oscillations",
        "D016428 Journal Article",
        "D013485 Research Support, Non-U.S. Gov't",
        "N Hyperscanning",
        "N Neurofeedback",
        "N Brain-to-brain synchrony",
        "N Brain-Computer-Interface Technology",
        "N Real-world neuroscience",
        "N Inter-brain coupling"
      ],
      "number_of_pages": null,
      "pages": "117436",
      "publication": {
        "category": "Journal",
        "cite_score": 11.6,
        "is_potentially_predatory": false,
        "isbn": null,
        "issn": "1095-9572",
        "publisher": "Academic Press Inc.",
        "sjr": 2.512,
        "snip": 1.782,
        "subject_areas": [
          "Cognitive Neuroscience",
          "neuroscience",
          "Neurology"
        ],
        "title": "NeuroImage"
      },
      "publication_date": "2020-10-08",
      "selected": true,
      "title": "Crowdsourcing neuroscience: Inter-brain coupling during face-to-face interactions outside the laboratory.",
      "urls": [
        "https://doi.org/10.1101/822320",
        "https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85098111862&origin=inward"
      ]
    },
    {
      "abstract": "Motor Imagery (MI) promotes motor learning in activities, like developing professional motor skills, sports gestures, and patient rehabilitation. However, up to 30% of users may not develop enough coordination skills after training sessions because of inter and intra-subject variability. Here, we develop a data-driven estimator, termed Deep Regression Network (DRN), which jointly extracts and performs the regression analysis in order to assess the efficiency of the individual brain networks in practicing MI tasks. The proposed double-stage estimator initially learns a pool of deep patterns, extracted from the input data, in order to feed a neural regression model, allowing for infering the distinctiveness between subject assemblies having similar variability. The results, which were obtained on real-world MI data, prove that the DRN estimator fosters pre-training neural desynchronization and initial training synchronization to predict the bi-class accuracy response, thus providing a better understanding of the Brain\u00e2\u0080\u0093Computer Interface inefficiency of subjects. \u00c2\u00a9 2020 by the authors. Licensee MDPI, Basel, Switzerland.",
      "authors": [
        "Velasquez-Martinez, L.",
        "Caicedo-Acosta, J.",
        "Acosta-Medina, C.",
        "Alvarez-Meza, A.",
        "Castellanos-Dominguez, G."
      ],
      "categories": null,
      "citations": 3,
      "comments": null,
      "databases": [
        "Scopus"
      ],
      "doi": "10.3390/brainsci10100707",
      "keywords": [
        "Event-related de/synchronization",
        "Regression networks",
        "Sensorimotor rhythm",
        "Brain-computer inefficiency"
      ],
      "number_of_pages": 17,
      "pages": "1-17",
      "publication": {
        "category": "Journal",
        "cite_score": null,
        "is_potentially_predatory": false,
        "isbn": null,
        "issn": null,
        "publisher": null,
        "sjr": null,
        "snip": null,
        "subject_areas": [],
        "title": "Brain Sciences"
      },
      "publication_date": "2020-10-01",
      "selected": false,
      "title": "Regression networks for neurophysiological indicator evaluation in practicing motor imagery tasks",
      "urls": [
        "https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85092177683&origin=inward"
      ]
    },
    {
      "abstract": "This study investigated deficits of spatial working memory in college students with attention-deficit/hyperactivity disorder (ADHD) traits using event-related potentials (ERPs) and the spatial 2-back task. We also computed sensory-level activity using EEG data and investigated theta and alpha neural oscillations, phase-locking values (PLV), and brain networks. Based on the scores from the Adult ADHD Self-Report Scale (ASRS) and Conners\u00e2\u0080\u0099 Adult ADHD Rating Scales (CAARS), an ADHD-trait group (n = 40) and a normal control group (n = 41) were selected. Participants were required to respond to whether the presented stimulus was at the same location as that presented two trials earlier. The ADHD-trait group showed significantly slower response times than the control group in the spatial 2-back task. In terms of spectrum, the ADHD-trait group showed significantly reduced theta power than the control group. In contrast, the ADHD-trait group exhibited an increased alpha power compared to the control group with the 250\u00e2\u0080\u00931000 ms interval after stimulus onset. In terms of the PLV, the ADHD-trait group showed significantly weaker theta phase synchrony and fewer connection numbers in frontal-occipital areas than the control group. In terms of the theta brain network, the ADHD-trait group showed a significantly lower clustering coefficient and longer characteristic path length than the control group for the theta band. The present results indicate that college students with ADHD traits have deficits in spatial working memory and that these abnormal activities in neural oscillation, functional connectivity, and the network may contribute to spatial working memory deficits. \u00c2\u00a9 Copyright \u00c2\u00a9 2020 Jang, Kim and Kim.",
      "authors": [
        "Jang, K.-M.",
        "Kim, M.-S.",
        "Kim, D.-W."
      ],
      "categories": null,
      "citations": 13,
      "comments": null,
      "databases": [
        "Scopus"
      ],
      "doi": "10.3389/fnhum.2020.580813",
      "keywords": [
        "brain oscillation",
        "working memory",
        "graph theory",
        "functional connectivity",
        "attention deficit disorders with hyperactivity"
      ],
      "number_of_pages": null,
      "pages": null,
      "publication": {
        "category": "Journal",
        "cite_score": null,
        "is_potentially_predatory": false,
        "isbn": null,
        "issn": null,
        "publisher": null,
        "sjr": null,
        "snip": null,
        "subject_areas": [],
        "title": "Frontiers in Human Neuroscience"
      },
      "publication_date": "2020-09-07",
      "selected": false,
      "title": "The Dynamic Properties of a Brain Network During Spatial Working Memory Tasks in College Students With ADHD Traits",
      "urls": [
        "https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85091194589&origin=inward"
      ]
    },
    {
      "abstract": "Multi-brain network, also known as social cooperative network, is formed by multiple animal or human brains, whose changes of functional connectivity in the intra- and inter-brain during construction are unclear at present. To investigate the intra- and inter-brain functional connectivity of pigeons while performing a social cooperation task, we designed an inter-brain synchronization task to train three pigeons to synchronize their neural activities using cross-brain neurofeedback. Then the neural signals of three pigeons were simultaneously recorded by using a hyperscanning approach, and inter-brain synchronization was calculated using the phase-locked value (PLV) online. Finally, the intra- and inter-brain functional connectivity of three pigeons were analyzed. We found that during long-term neurofeedback training, with the increase of the inter-brain synchronization of three pigeons, the intra- and inter-brain functional connectivity also enhance significantly. Moreover, we also found that the above phenomenon relies on the external visual cue. These results suggest that the promotion of social cooperation is the result of the modulation between the intra- and inter-brain, which may be an underlying neural mechanism of the communication and cooperation among individuals in social networks. \u00c2\u00a9 2020 Elsevier Inc.",
      "authors": [
        "Yang, L.",
        "Li, M.",
        "Yang, L.",
        "Wang, H.",
        "Wan, H.",
        "Shang, Z."
      ],
      "categories": null,
      "citations": 7,
      "comments": null,
      "databases": [
        "Scopus"
      ],
      "doi": "10.1016/j.brainresbull.2020.04.015",
      "keywords": [
        "Hyperscanning",
        "Multi-brain network",
        "Neurofeedback",
        "Social cooperation",
        "Functional connectivity"
      ],
      "number_of_pages": 11,
      "pages": "147-157",
      "publication": {
        "category": "Journal",
        "cite_score": 6.7,
        "is_potentially_predatory": false,
        "isbn": null,
        "issn": "03619230",
        "publisher": "Elsevier Inc.",
        "sjr": 0.885,
        "snip": 0.861,
        "subject_areas": [
          "Neuroscience (all)"
        ],
        "title": "Brain Research Bulletin"
      },
      "publication_date": "2020-08-01",
      "selected": true,
      "title": "Functional connectivity changes in the intra- and inter-brain during the construction of the multi-brain network of pigeons",
      "urls": [
        "https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85085660904&origin=inward"
      ]
    },
    {
      "abstract": "Social interaction is ubiquitous in human society. The two-person approach\u00e2\u0080\u0094a new, powerful tool to study information exchange and social behaviors\u00e2\u0080\u0094aims to characterize the behavioral dynamics and neural mechanisms of real-time social interactions. In this review, we discuss the benefits of two-person approaches compared to those for conventional, single-person approaches. We describe measures and paradigms that model social interaction in three dimensions (3-D), including eye-to-eye, body-to-body, and brain-to-brain relationships. We then discuss how these two-person measures and paradigms are used in psychiatric conditions (e.g., autism, mood disorders, schizophrenia, borderline personality disorder, and psychotherapy). Furthermore, the advantages of a two-person approach (e.g., dual brain stimulation, multi-person neurofeedback) in clinical interventions are described. Finally, we discuss the methodological and translational challenges surrounding the application of two-person approaches in psychiatry, as well as prospects for future two-/multi-person studies. We conclude that two-person approaches serve as useful additions to the range of behavioral and neuroscientific methods available to assess social interaction in psychiatric settings, for both diagnostic techniques and complementary interventions. \u00c2\u00a9 Copyright \u00c2\u00a9 2020 Pan and Cheng.",
      "authors": [
        "Pan, Yafeng",
        "Cheng, Xiaojun"
      ],
      "categories": null,
      "citations": 17,
      "comments": null,
      "databases": [
        "Scopus",
        "PubMed"
      ],
      "doi": "10.3389/fpsyt.2020.00301",
      "keywords": [
        "N intervention",
        "D016428 Journal Article",
        "N two-person approach",
        "D016454 Review",
        "N psychiatry",
        "N application",
        "N social interaction"
      ],
      "number_of_pages": null,
      "pages": "301",
      "publication": {
        "category": "Journal",
        "cite_score": 5.4,
        "is_potentially_predatory": false,
        "isbn": null,
        "issn": "1664-0640",
        "publisher": "Frontiers Media S.A.",
        "sjr": 1.222,
        "snip": 1.265,
        "subject_areas": [
          "Psychiatry and Mental Health"
        ],
        "title": "Frontiers in psychiatry"
      },
      "publication_date": "2020-04-24",
      "selected": false,
      "title": "Two-Person Approaches to Studying Social Interaction in Psychiatry: Uses and Clinical Relevance.",
      "urls": [
        "https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85084374360&origin=inward"
      ]
    },
    {
      "abstract": "Attention deficit with or without hyperactivity disorder (ADHD) is one of the most frequent neuropsychiatric disorders, and affects 2\u00e2\u0080\u00934% of adults. In contrast with many European countries, the identification and management of adult ADHD remains underdeveloped in France, and a subject of controversy. This review provides a practical update on current knowledge about ADHD in adults for French-speaking professionals who have to detect or manage adult patients with ADHD. ADHD is classified as a neurodevelopmental disorder in the recent update of the international diagnostic classification. While symptoms and impairment due to ADHD are frequently severe during childhood, they often evolve as children grow older, with frequent persistent disabilities in adulthood. In adulthood, the clinical presentation, as in childhood, involves the symptom triad of inattention, hyperactivity and impulsivity. However, differences are noted: hyperactivity is more often internalized, symptoms of inattention may be masked by anxiety symptoms or obsessive-like compensation strategies. ADHD is often diagnosed during childhood, but it is not rare for the diagnosis to be made later. Failure to recognise symptoms resulting in misdiagnosis, or alternatively well-developed compensation factors could be two underlying reasons for the long delay until diagnosis. Other symptoms, such as emotional deregulation or executive function-related symptoms are also usually observed in adults. In addition, in adults, ADHD is often associated with other psychiatric disorders (in 80% of cases); this makes the diagnosis even more difficult. These disorders encompass a broad spectrum, from mood disorders (unipolar or bipolar), to anxiety disorders, and other neurodevelopmental disorders and personality disorders, especially borderline and antisocial personality disorder. Substance-use disorders are very common, either as a consequence of impulsivity and emotional dysregulation or as an attempt at self-treatment. Sleep disorders, especially restless leg syndrome and hypersomnolence, could share common pathophysiological mechanisms with ADHD. ADHD and comorbidity-related symptoms are responsible for serious functional impairment, in various domains, leading to academic, social, vocational, and familial consequences. The impact on other psychiatric disorders as an aggravating factor should also be considered. The considerable disability and the poorer quality of life among adults with ADHD warrant optimal evaluation and management. The diagnostic procedure for ADHD among adults should be systematic. Once the positive diagnosis is made, the evaluation enables characterisation of the levels of severity and impairment at individual level. A full examination should also assess medical conditions associated with ADHD, to provide personalized care. In recent years, a growing number of assessment tools have been translated and validated in French providing a wide range of structured interviews and standardized self-report questionnaires for the evaluation of core and associated ADHD symptoms, comorbidities and functional impairment. The treatment of ADHD in adults is multimodal, and aims to relieve the symptoms, limit the burden of the disease, and manage comorbidities. The most relevant and validated psychological approaches are psycho-education, cognitive-behavioural therapy and \u00e2\u0080\u009cthird wave therapies\u00e2\u0080\u009d with a specific focus on emotional regulation. Cognitive remediation and neurofeedback are promising strategies still under evaluation. Medications, especially psychostimulants, are effective for alleviating ADHD symptoms with a large effect size. Their safety and tolerance are satisfactory, although their long-term clinical benefit is still under discussion. In France, methylphenidate is the only stimulant available for the treatment of ADHD. Unfortunately, there is no authorization for its use among adults except in continuation after adolescence. Hence the prescription, which is subject to the regulations on narcotics, is off-label in France. This article aims to provide practical considerations for the management of ADHD and associated disorders in adults, in this particular French context. \u00c2\u00a9 2019 L'Enc\u00c3\u00a9phale, Paris",
      "authors": [
        "Weibel, S.",
        "Menard, O.",
        "Ionita, A.",
        "Boumendjel, M.",
        "Cabelguen, C.",
        "Kraemer, C.",
        "Micoulaud-Franchi, J.-A.",
        "Bioulac, S.",
        "Perroud, N.",
        "Sauvaget, A.",
        "Carton, L.",
        "Gachet, M.",
        "Lopez, R."
      ],
      "categories": null,
      "citations": 40,
      "comments": null,
      "databases": [
        "Scopus"
      ],
      "doi": "10.1016/j.encep.2019.06.005",
      "keywords": [
        "Treatment",
        "Adult ADHD",
        "Comorbidity",
        "Psychotherapy",
        "Diagnosis",
        "Methylphenidate"
      ],
      "number_of_pages": 11,
      "pages": "30-40",
      "publication": {
        "category": "Journal",
        "cite_score": 4.0,
        "is_potentially_predatory": false,
        "isbn": null,
        "issn": "00137006",
        "publisher": "Elsevier Masson s.r.l.",
        "sjr": 0.572,
        "snip": 0.751,
        "subject_areas": [
          "Arts and Humanities (miscellaneous)",
          "Psychiatry and Mental Health"
        ],
        "title": "Encephale"
      },
      "publication_date": "2020-02-01",
      "selected": false,
      "title": "Practical considerations for the evaluation and management of Attention Deficit Hyperactivity Disorder (ADHD) in adults",
      "urls": [
        "https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85073235975&origin=inward"
      ]
    },
    {
      "abstract": "Introduction: Persistent pain is a significant contributor to disability in people living with knee osteoarthritis (KOA). Brain imaging, including electrophysiological studies, confirms altered cortical oscillatory and synchrony patterns in cognitive, affective, and somatosensory areas in individuals with KOA pain. Electroencephalography neurofeedback (EEG-NF) training is a form of neuromodulatory intervention that can help to reduce pain via normalizing dysrhythmic cortical oscillatory patterns that are linked to the pain experience. However, there is a dearth of evidence towards the efficacy of NF in individuals with musculoskeletal pain. Aim: The proposed research is intended to pilot the NF training protocol and assess the feasibility, safety, and acceptability of NF training in individuals with KOA and estimate the variability of experimental and clinical outcome measures following NF training. Design: A parallel, two-armed, double-blind (participant and assessor) pilot randomized sham-controlled clinical trial. Methods: Adults aged 44-75 years with a clinical diagnosis of KOA will be recruited and randomized to either active or sham EEG-NF training. Both groups will receive auditory feedback as a reward for achieving a predetermined activity threshold of the target areas of the brain. Outcome measures include feasibility measures (recruitment, randomization, retention, and dropout rates), acceptability, and adverse events; clinical measures (pain, interference, sleep, mood, and physical activity); and experimental pain outcomes (quantitative sensory testing procedures). Discussion: Outcomes from this study will inform the feasibility and methodology for a future randomized controlled clinical trial. \u00c2\u00a9 2020. Mathew et al.",
      "authors": [
        "Mathew, J.",
        "Adhia, D.B.",
        "Smith, M.L.",
        "De Ridder, D.",
        "Mani, R."
      ],
      "categories": null,
      "citations": 5,
      "comments": null,
      "databases": [
        "Scopus"
      ],
      "doi": "10.15540/nr.7.1.30",
      "keywords": [
        "EEG-neurofeedback",
        "Chronic pain",
        "Knee pain",
        "Brain training",
        "Osteoarthritis"
      ],
      "number_of_pages": 15,
      "pages": "30-44",
      "publication": {
        "category": "Journal",
        "cite_score": null,
        "is_potentially_predatory": false,
        "isbn": null,
        "issn": null,
        "publisher": null,
        "sjr": null,
        "snip": null,
        "subject_areas": [],
        "title": "NeuroRegulation"
      },
      "publication_date": "2020-01-01",
      "selected": false,
      "title": "Protocol for a pilot randomized sham-controlled clinical trial evaluating the feasibility, safety, and acceptability of infraslow electroencephalography neurofeedback training on experimental and clinical pain outcomes in people with chronic painful knee osteoarthritis",
      "urls": [
        "https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85086470484&origin=inward"
      ]
    },
    {
      "abstract": "This chapter provides a review of state-of-the-art advances in collecting and analyzing functional magnetic resonance imaging (fMRI) data and how they pertain to exploring a wide range of communication phenomena. After discussing the basic tenets and pitfalls of fMRI, three analytical techniques that have sparked particular attention within communication scholarship are discussed. These are: brain-as-predictor analysis, intersubject correlation analysis, and multivoxel pattern analysis. After illuminating how these approaches have been exploited to tackle communication-relevant questions, several interesting, albeit challenging pathways guiding the future of fMRI within communication science are outlined, emphasizing the combination of brain imaging with computational content analysis, hyperscanning, and neurofeedback. \u00c2\u00a9 2020 International Communication Association.",
      "authors": [
        "Hopp, F.R.",
        "Weber, R."
      ],
      "categories": null,
      "citations": 1,
      "comments": null,
      "databases": [
        "Scopus"
      ],
      "doi": "10.4324/9781351235587-23",
      "keywords": [],
      "number_of_pages": 13,
      "pages": "279-291",
      "publication": {
        "category": "Book",
        "cite_score": null,
        "is_potentially_predatory": false,
        "isbn": "9781351235570",
        "issn": null,
        "publisher": null,
        "sjr": null,
        "snip": null,
        "subject_areas": [],
        "title": "The Handbook of Communication Science and Biology"
      },
      "publication_date": "2020-01-01",
      "selected": false,
      "title": "The state of the art and the future of functional magnetic resonance imaging in communication research",
      "urls": [
        "https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85097813799&origin=inward"
      ]
    },
    {
      "abstract": "The path from earlier standard protocols to the individualized Infra-Low-Frequency training (ILF) was and still is an empirical process, guided by clinical effectiveness based on individual within-session and inter-session feedback from the client. This chapter will focus on modern, individualized Neurofeedback training. The chapter explains ILF training with emphasis on clinical and practical aspects. Along with the development of the new training methods, there is an acknowledgement and explanation of how proven older methods can be effectively combined with ILF training. The chapter ends with descriptions of how 2 Channel Sum applications, like classical Alpha-Theta and Synchrony training, can be integrated into the overall treatment plan. Chapter 2 has detailed how clinical Neurofeedback evolved over the last 30 years, and how we arrived at the modern, individualized Neurofeedback training methods that initially evolved out of the pioneering clinical work at the EEG Institute in Los Angeles, under the clinical guidance of Sue Othmer. This chapter focuses on the practical and tactical aspects of how the Infra-Low Frequency (ILF) Neurofeedback training below 0.1 Hz is used in a clinical setting. The chapter concludes with a look at how the ILF differential training may be combined with other 2 Channel Sum training modalities such as Alpha-Theta and Synchrony training for best clinical outcomes. \u00c2\u00a9 2020 Taylor & Francis.",
      "authors": [
        "Wiedemann, M."
      ],
      "categories": null,
      "citations": 1,
      "comments": null,
      "databases": [
        "Scopus"
      ],
      "doi": "10.4324/9780429275760-5",
      "keywords": [],
      "number_of_pages": 23,
      "pages": "89-111",
      "publication": {
        "category": "Book",
        "cite_score": null,
        "is_potentially_predatory": false,
        "isbn": "9781000766653",
        "issn": null,
        "publisher": null,
        "sjr": null,
        "snip": null,
        "subject_areas": [],
        "title": "Restoring the Brain: Neurofeedback as an Integrative Approach to Health"
      },
      "publication_date": "2020-01-01",
      "selected": false,
      "title": "Neurofeedback in clinical practice",
      "urls": [
        "https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85105666162&origin=inward"
      ]
    },
    {
      "abstract": "During MEG neurofeedback training, subjects learned to manipulate the degree of alpha synchrony over the left versus right parietal cortex. The change in alpha synchrony was associated with a corresponding bias in visual processing and attention in the corresponding visual field. \u00c2\u00a9 2019 Elsevier Inc.Decreases in alpha synchronization are correlated with enhanced attention, whereas alpha increases are correlated with inattention. However, correlation is not causality, and synchronization may be a byproduct of attention rather than a cause. To test for a causal role of alpha synchrony in attention, we used MEG neurofeedback to train subjects to manipulate the ratio of alpha power over the left versus right parietal cortex. We found that a comparable alpha asymmetry developed over the visual cortex. The alpha training led to corresponding asymmetrical changes in visually evoked responses to probes presented in the two hemifields during training. Thus, reduced alpha was associated with enhanced sensory processing. Testing after training showed a persistent bias in attention in the expected directions. The results support the proposal that alpha synchrony plays a causal role in modulating attention and visual processing, and alpha training could be used for testing hypotheses about synchrony. \u00c2\u00a9 2019 Elsevier Inc.",
      "authors": [
        "Bagherzadeh, Yasaman",
        "Baldauf, Daniel",
        "Pantazis, Dimitrios",
        "Desimone, Robert"
      ],
      "categories": null,
      "citations": 67,
      "comments": null,
      "databases": [
        "Scopus",
        "PubMed"
      ],
      "doi": "10.1016/j.neuron.2019.11.001",
      "keywords": [],
      "number_of_pages": null,
      "pages": "577-587.e5",
      "publication": {
        "category": "Journal",
        "cite_score": 26.9,
        "is_potentially_predatory": false,
        "isbn": null,
        "issn": "1097-4199",
        "publisher": "Cell Press",
        "sjr": 7.736,
        "snip": 3.346,
        "subject_areas": [
          "Neuroscience (all)"
        ],
        "title": "Neuron"
      },
      "publication_date": "2019-12-04",
      "selected": false,
      "title": "Alpha Synchrony and the Neurofeedback Control of Spatial Attention.",
      "urls": [
        "https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85078673101&origin=inward"
      ]
    },
    {
      "abstract": "Chronic pain is a common and severely disabling disease whose treatment is often unsatisfactory. Insights into the brain mechanisms of chronic pain promise to advance the understanding of the underlying pathophysiology and might help to develop disease markers and novel treatments. Here, we systematically exploited the potential of electroencephalography to determine abnormalities of brain function during the resting state in chronic pain. To this end, we performed state-of-the-art analyses of oscillatory brain activity, brain connectivity, and brain networks in 101 patients of either sex suffering from chronic pain. The results show that global and local measures of brain activity did not differ between chronic pain patients and a healthy control group. However, we observed significantly increased connectivity at theta (4-8 Hz) and gamma (>60 Hz) frequencies in frontal brain areas as well as global network reorganization at gamma frequencies in chronic pain patients. Furthermore, a machine learning algorithm could differentiate between patients and healthy controls with an above-chance accuracy of 57%, mostly based on frontal connectivity. These results suggest that increased theta and gamma synchrony in frontal brain areas are involved in the pathophysiology of chronic pain. Although substantial challenges concerning the reproducibility of the findings and the accuracy, specificity, and validity of potential electroencephalography-based disease markers remain to be overcome, our study indicates that abnormal frontal synchrony at theta and gamma frequencies might be promising targets for noninvasive brain stimulation and/or neurofeedback approaches. \u00c2\u00a9 2019 International Association for the Study of Pain.",
      "authors": [
        "Ta Dinh, Son",
        "Nickel, Moritz M",
        "Tiemann, Laura",
        "May, Elisabeth S",
        "Heitmann, Henrik",
        "Hohn, Vanessa D",
        "Edenharter, G\u00fcnther",
        "Utpadel-Fischler, Daniel",
        "T\u00f6lle, Thomas R",
        "Sauseng, Paul",
        "Gross, Joachim",
        "Ploner, Markus"
      ],
      "categories": null,
      "citations": 59,
      "comments": null,
      "databases": [
        "Scopus",
        "bioRxiv",
        "PubMed"
      ],
      "doi": "10.1097/j.pain.0000000000001666",
      "keywords": [
        "Theta",
        "Electroencephalography",
        "Gamma",
        "Brain networks",
        "Chronic pain",
        "Synchrony",
        "Oscillations"
      ],
      "number_of_pages": 15,
      "pages": "2751-2765",
      "publication": {
        "category": "Journal",
        "cite_score": 12.5,
        "is_potentially_predatory": false,
        "isbn": null,
        "issn": "1872-6623",
        "publisher": "Lippincott Williams and Wilkins Ltd.",
        "sjr": 2.445,
        "snip": 3.151,
        "subject_areas": [
          "Neurology (clinical)",
          "neuroscience",
          "Neurology",
          "Anesthesiology and Pain Medicine"
        ],
        "title": "bioRxiv"
      },
      "publication_date": "2019-12-01",
      "selected": false,
      "title": "Brain dysfunction in chronic pain patients assessed by resting-state electroencephalography.",
      "urls": [
        "https://doi.org/10.1101/595470",
        "https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85074963198&origin=inward"
      ]
    },
    {
      "abstract": "BackgroundSchizophrenia is a disorder of higher mental attributes, and is characterized by psychotic symptoms that are believed to involve a basic inability to make valid predictions about expected sensations and experiences. These have been reported separately while monitoring either externally generated environmental patterns (e.g. gestalt-perception) or self-generated sensory experiences (e.g. corollary-discharge). As the pathophysiology behind predictive dysfunction is better viewed as an aberration in brains functional synchrony, a whole brain assessment using electroencephalographic (EEG) event related potential (ERP) and functional magnetic resonance imaging (fMRI) techniques, would offer a wider perspective to brain network abnormalities in schizophrenia.\\n\\nMethodWe used our lab-developed game-based task which presents degraded two-tone images to assess gestalt-perception, and simultaneously alters the congruency between participants button-press response and its auditory feedback to assess corollary-discharge. In both patients with schizophrenia and age-matched healthy controls, we explored event-related changes in an EEG-ERP study (n=21 each) and whole brain functional connectivity changes in a fMRI study (patients,n=12; controls,n=16), using the same task.\\n\\nResultsPatients showed reduced event-related EEG dynamics during both the error-prediction conditions (gestalt-perception and corollary-discharge), which include reduction in average waveforms (around N170 and N1-P2 complex, respectively) and altered theta dynamics (power and phase). Source-level EEG measures were clustered around the cingulo-insular network. fMRI functional connectivity analysis also found the abnormality in these brain regions, forming significantly weak connections with right insular/opercular cortex.\\n\\nConclusionsThis is the first study to explore  thalamo-cortical dysfunction hypothesis in schizophrenia by integrating prediction-error-coding during perception ( gestalt-perception) and action ( corollary-discharge) using two neuroimaging modalities (EEG-ERP and fMRI). Besides adding to the knowledgebase of schizophrenia research, our novel task design and findings on theta-oscillation could benefit in the development of effective neuromodulatory therapeutic tools for patients with schizophrenia such as neurofeedback and transcranial brain stimulation.",
      "authors": [
        "Sasidharan, A.",
        "Nair, A. K.",
        "Marigowda, V.",
        "Lukose, A.",
        "John, J. P.",
        "Kutty, B. M."
      ],
      "categories": null,
      "citations": null,
      "comments": null,
      "databases": [
        "bioRxiv"
      ],
      "doi": "10.1101/837831",
      "keywords": [],
      "number_of_pages": null,
      "pages": null,
      "publication": {
        "category": "Preprint",
        "cite_score": null,
        "is_potentially_predatory": false,
        "isbn": null,
        "issn": null,
        "publisher": null,
        "sjr": null,
        "snip": null,
        "subject_areas": [
          "neuroscience"
        ],
        "title": "bioRxiv"
      },
      "publication_date": "2019-11-11",
      "selected": false,
      "title": "Schizophrenia patients show aberrant brain dynamics associated with gestalt-perception and corollary discharge: Reflections from ERP and fMRI findings",
      "urls": [
        "https://doi.org/10.1101/837831"
      ]
    },
    {
      "abstract": "An emerging body of hyperscanning functional near-infrared spectroscopy (fNIRS) research shows interbrain neural synchrony (IBS) during different forms of social interaction. Here we review the recent literature and propose several factors that facilitate IBS, leading us to ask the following question: In a world full of people and opportunities to synchronize with them, what directs our neural and behavioral alignment with anyone specific? We suggest that IBS between what we deem the \u00e2\u0080\u009cmutual social attention systems\u00e2\u0080\u009d of interacting partners\u00e2\u0080\u0094that is, the coupling between participants\u00e2\u0080\u0099 temporoparietal junctions and/or prefrontal cortices\u00e2\u0080\u0094facilitates and enhances the ability to tune in to the specific interaction, its participants and its goals. We propose that this process is linked to social alignment, reinforcing one another to facilitate successful and lucrative social interactions. We further suggest that neurochemical mechanisms of dopamine and oxytocin underlie the activation of this suggested loop. Finally, we suggest possible directions for future studies, emphasizing the need to develop a brain-to-brain neurofeedback system with IBS between the mutual social attention systems of the participants as the direct regulating target. \u00c2\u00a9 The Author(s) 2019.",
      "authors": [
        "Gvirts, Hila Z",
        "Perlmutter, Rotem"
      ],
      "categories": null,
      "citations": 66,
      "comments": null,
      "databases": [
        "Scopus",
        "PubMed"
      ],
      "doi": "10.1177/1073858419861912",
      "keywords": [
        "N mutual social attention",
        "N functional near infrared spectroscopy (fNIRS)",
        "D016428 Journal Article",
        "N neural alignment",
        "D016454 Review",
        "N interbrain neural synchrony",
        "N social alignment"
      ],
      "number_of_pages": 9,
      "pages": "108-116",
      "publication": {
        "category": "Journal",
        "cite_score": 14.6,
        "is_potentially_predatory": false,
        "isbn": null,
        "issn": "1089-4098",
        "publisher": "SAGE Publications Inc.",
        "sjr": 2.109,
        "snip": 1.984,
        "subject_areas": [
          "Neurology (clinical)",
          "Neuroscience (all)"
        ],
        "title": "The Neuroscientist : a review journal bringing neurobiology, neurology and psychiatry"
      },
      "publication_date": "2019-07-11",
      "selected": false,
      "title": "What Guides Us to Neurally and Behaviorally Align With Anyone Specific? A Neurobiological Model Based on fNIRS Hyperscanning Studies.",
      "urls": [
        "https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85069510493&origin=inward"
      ]
    },
    {
      "abstract": "Purpose: Chronic low back pain (cLBP) affects a quarter of a population during its lifetime. The most severe cases include patients not responding to interventions such as 5-week-long in-hospital multi-disciplinary protocols. This document reports on a pilot study offering an alpha-phase synchronization (APS) brain rehabilitation intervention to a population of n = 16 multi-resistant cLBP patients. Methods: The intervention consists of 20 sessions of highly controlled electroencephalography (EEG) APS operant conditioning (neurofeedback) paradigm delivered in the form of visual feedback. Visual analogue scale for pain, Dallas, Hamilton, and HAD were measured before, after, at 6-month and 12-month follow-up. Full-scalp EEG data were analyzed to study significant changes in the brain\u00e2\u0080\u0099s electrical activity. Results: The intervention showed a great and lasting response of most measured clinical scales. The clinical improvement was lasting beyond the 6-month follow-up endpoints. The EEG data confirm that patients did control (intra-session trends) and learned to better control (intersession trends) their APS neuromarker resulting in (nonsignificant) baseline changes in their resting state activity. Last and most significantly, the alpha-phase concentration (APC) neuromarker, specific to phase rather than amplitude, was found to correlate significantly with the reduction in clinical symptoms in a typical dose\u00e2\u0080\u0093response effect. Conclusion: This first experiment highlights the role of the APC neuromarker in relation to the nucleus accumbens activity and its role on nociception and the chronicity of pain. This study suggests APC rehabilitation could be used clinically for the most severe cases of cLBP. Its excellent safety profile and availability as a home-use intervention makes it a potentially disruptive tool in the context of nonsteroidal anti-inflammatory drugs and opioid abuses. Graphic abstract: These slides can be retrieved under Electronic Supplementary Material.[Figure not available: see fulltext.]. \u00c2\u00a9 2019, Springer-Verlag GmbH Germany, part of Springer Nature.",
      "authors": [
        "Mayaud, Louis",
        "Wu, H\u00e9l\u00e8ne",
        "Barth\u00e9lemy, Quentin",
        "Favennec, Patrick",
        "Delpierre, Yannick",
        "Congedo, Marco",
        "Dupeyron, Arnaud",
        "Ritz, Michel"
      ],
      "categories": null,
      "citations": 16,
      "comments": null,
      "databases": [
        "Scopus",
        "PubMed"
      ],
      "doi": "10.1007/s00586-019-06051-9",
      "keywords": [
        "D016428 Journal Article",
        "D013485 Research Support, Non-U.S. Gov't",
        "N Chronic low back pain",
        "N Neurofeedback",
        "N Alpha-phase synchronization",
        "N Nucleus accumbens",
        "N Alpha-phase concentration",
        "N Electroencephalograph"
      ],
      "number_of_pages": 15,
      "pages": "2487-2501",
      "publication": {
        "category": "Journal",
        "cite_score": 4.7,
        "is_potentially_predatory": false,
        "isbn": null,
        "issn": "1432-0932",
        "publisher": "Springer Verlag",
        "sjr": 0.942,
        "snip": 1.581,
        "subject_areas": [
          "Orthopedics and Sports Medicine",
          "Surgery"
        ],
        "title": "European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society"
      },
      "publication_date": "2019-06-28",
      "selected": false,
      "title": "Alpha-phase synchrony EEG training for multi-resistant chronic low back pain patients: an open-label pilot study.",
      "urls": [
        "https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85068323355&origin=inward"
      ]
    },
    {
      "abstract": "Increased oscillatory activities in the beta frequency band (13-30 Hz) in the subthalamic nucleus (STN), and in particular prolonged episodes of increased synchrony in this frequency band, have been associated with motor symptoms such as bradykinesia and rigidity in Parkinson's disease (PD). Numerous studies have investigated sensorimotor cortical beta oscillations either as a control signal for Brain Computer Interfaces (BCI) or as target signal for neurofeedback training (NFB). However, it still remains unknown whether patients with PD can gain control of the pathological oscillations recorded from a subcortical site - the STN - with neurofeedback training. We tried to address this question in the current study. Specifically, we designed a simple basketball game, in which the position of a basketball changes based on the occurrence of events of temporally increased beta power quantified in real-time. Participants practised in the game to control the position of the basketball, which requires modulation of the beta oscillations recorded from STN local field potentials (LFPs). Our results suggest that it is possible to use neurofeedback training for PD patients to downregulate pathological beta oscillations in STN LFPs, and that this can lead to a reduction of beta oscillations in the cortical-STN motor network. \u00c2\u00a9 2019 IEEE.",
      "authors": [
        "He, Shenghong",
        "Syed, Emilie",
        "Torrecillos, Flavie",
        "Tinkhauser, Gerd",
        "Fischer, Petra",
        "Pogosyan, Alek",
        "Pereira, Erlick",
        "Ashkan, Keyoumars",
        "Hasegawa, Harutomo",
        "Brown, Peter",
        "Tan, Huiling"
      ],
      "categories": null,
      "citations": 8,
      "comments": null,
      "databases": [
        "IEEE",
        "Scopus",
        "PubMed"
      ],
      "doi": "10.1109/NER.2019.8717176",
      "keywords": [
        "N neurofeedback training (NFB)",
        "#text",
        "N local field potential (LFP)",
        "N Parkinson\u2019s disease (PD)",
        "N Beta oscillations",
        "@UI"
      ],
      "number_of_pages": 4,
      "pages": "81-84",
      "publication": {
        "category": "Journal",
        "cite_score": null,
        "is_potentially_predatory": false,
        "isbn": "978-1-5386-7922-7",
        "issn": "1948-3546",
        "publisher": "IEEE",
        "sjr": null,
        "snip": null,
        "subject_areas": [],
        "title": "International IEEE/EMBS Conference on Neural Engineering : [proceedings]. International IEEE EMBS Conference on Neural Engineering"
      },
      "publication_date": "2019-03-01",
      "selected": false,
      "title": "Beta Oscillation-Targeted Neurofeedback Training Based on Subthalamic LFPs in Parkinsonian Patients.",
      "urls": [
        "https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85062168208&origin=inward",
        "https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8717176"
      ]
    },
    {
      "abstract": "Neurological compensatory mechanisms help our brain to adjust to neurodegeneration as in Parkinson's disease. It is suggested that the compensation of the damaged striato-thalamo-cortical circuit is focused on the intact thalamo-rubro-cerebellar pathway as seen during presymptomatic Parkinson, paradoxical movement and sensorimotor rhythm (SMR). Indeed, the size of the red nucleus, connecting the cerebellum with the cerebral cortex, is larger in Parkinson's disease patients suggesting an increased activation of this brain area. Therefore, the red nucleus was examined in MPTP-induced parkinsonian marmoset monkeys during the presymptomatic stage and after SMR activation by neurofeedback training. We found a reverse significant correlation between the early expression of parkinsonian signs and the size of the parvocellular part of the red nucleus, which is predominantly present in human and non-human primates. In quadrupedal animals it consists mainly of the magnocellular part. Furthermore, SMR activation, that mitigated parkinsonian signs, further increased the size of the red nucleus in the marmoset monkey. This plasticity of the brain helps to compensate for dysfunctional movement control and can be a promising target for compensatory treatment with neurofeedback technology, vibrotactile stimulation or DBS in order to improve the quality of life for Parkinson's disease patients.",
      "authors": [
        "Philippens, Ingrid H C H M",
        "Wubben, Jacqueline A",
        "Franke, Sigrid K",
        "Hofman, Sam",
        "Langermans, Jan A M"
      ],
      "categories": null,
      "citations": null,
      "comments": null,
      "databases": [
        "PubMed"
      ],
      "doi": "10.1038/s41598-018-37381-1",
      "keywords": [],
      "number_of_pages": null,
      "pages": "880",
      "publication": {
        "category": "Journal",
        "cite_score": 7.5,
        "is_potentially_predatory": false,
        "isbn": null,
        "issn": "2045-2322",
        "publisher": "Nature Publishing Group",
        "sjr": 0.973,
        "snip": 1.312,
        "subject_areas": [
          "Multidisciplinary"
        ],
        "title": "Scientific reports"
      },
      "publication_date": "2019-01-29",
      "selected": false,
      "title": "Involvement of the Red Nucleus in the Compensation of Parkinsonism may Explain why Primates can develop Stable Parkinson's Disease.",
      "urls": []
    },
    {
      "abstract": "In a novel experimental setting, we augmented a variation of traditional compassion meditation with our custom built VR environment for multiple concurrent users. The system incorporates respiration and brainwave based biofeedback that enables responsiveness to the shared physiological states of the users. The presence of another user's avatar in the shared virtual space supported low level social interactions and provided active targets for evoked compassion. We enhanced interoception and the deep empathetic processes involved in compassion meditation with real time visualizations of breathing rates and the level of approach motivation assessed from EEG frontal asymmetry, and the dyadic synchrony of those signals between the two users. We found how the different biofeedback types increased both the amount of physiological synchrony between the users and their self-reported empathy, illustrating how dyadic synchrony biofeedback can expand the possibilities of biofeedback in affective computing and VR solutions for health and wellness. \u00c2\u00a9 2019 IEEE Computer Society. All rights reserved.",
      "authors": [
        "J\u00c3\u00a4rvel\u00c3\u00a4, S.",
        "Salminen, M.",
        "Ruonala, A.",
        "Timonen, J.",
        "Mannermaa, K.",
        "Ravaja, N.",
        "Jacucci, G."
      ],
      "categories": null,
      "citations": 2,
      "comments": null,
      "databases": [
        "Scopus"
      ],
      "doi": null,
      "keywords": [],
      "number_of_pages": 9,
      "pages": "4212-4220",
      "publication": {
        "category": "Conference Proceedings",
        "cite_score": null,
        "is_potentially_predatory": false,
        "isbn": "9780998133126",
        "issn": "15301605",
        "publisher": null,
        "sjr": null,
        "snip": null,
        "subject_areas": [],
        "title": "Proceedings of the Annual Hawaii International Conference on System Sciences"
      },
      "publication_date": "2019-01-01",
      "selected": true,
      "title": "Dynecom: Augmenting empathy in VR with dyadic synchrony neurofeedback",
      "urls": [
        "https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85084209662&origin=inward"
      ]
    },
    {
      "abstract": "This chapter traces the evolution of Infra-Low Frequency Neurofeedback, and the associated instrumentation development, over the course of 34 years. Exploitation of the broadening clinical reach of SMR-beta protocols served to delay major protocol innovation for some years. The principle of individualized \u00e2\u0080\u009coptimal response frequency\u00e2\u0080\u009d then became the pilot light of further developments, leading ultimately to the deep infra-low frequency realm. The integration of ILF neurofeedback with Alpha-Theta training and EEG synchrony protocols has yielded a competent neurotherapeutic approach for the challenging presentations encountered in a mental health practice. A complementary perspective is given in Chapter 42 by Siegfried Othmer. \u00c2\u00a9 2020 Elsevier Inc. All rights reserved.",
      "authors": [
        "Othmer, S.F."
      ],
      "categories": null,
      "citations": 2,
      "comments": null,
      "databases": [
        "Scopus"
      ],
      "doi": "10.1016/B978-0-12-817659-7.00043-9",
      "keywords": [
        "Alpha-theta neurofeedback",
        "SMR-beta training",
        "EEG synchrony training",
        "Optimal response frequency",
        "Infra-low frequency neurofeedback"
      ],
      "number_of_pages": 8,
      "pages": "327-334",
      "publication": {
        "category": "Book",
        "cite_score": null,
        "is_potentially_predatory": false,
        "isbn": "9780128176597",
        "issn": null,
        "publisher": null,
        "sjr": null,
        "snip": null,
        "subject_areas": [],
        "title": "Neurofeedback: The First Fifty Years"
      },
      "publication_date": "2019-01-01",
      "selected": false,
      "title": "History of the othmer method: An evolving clinical model and process",
      "urls": [
        "https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85094567186&origin=inward"
      ]
    },
    {
      "abstract": "p p The \u03b2-band oscillation in the subthalamic nucleus (STN) is a therapeutic target for Parkinson's disease. Previous studies demonstrated that l-DOPA decreases the \u03b2-band (13-30 Hz) oscillations with improvement of motor symptoms. However, it has not been elucidated whether patients with Parkinson's disease are able to control the \u03b2-band oscillation voluntarily. Here, we hypothesized that neurofeedback training to control the \u03b2-band power in the STN induces plastic changes in the STN of individuals with Parkinson's disease. We recorded the signals from STN deep-brain stimulation electrodes during operations to replace implantable pulse generators in eight human patients (3 male) with bilateral electrodes. Four patients were induced to decrease the \u03b2-band power during the feedback training (down-training condition), whereas the other patients were induced to increase (up-training condition). All patients were blinded to their assigned condition. Adjacent contacts that showed the highest \u03b2-band power were selected for the feedback. During the 10 min training, patients were shown a circle whose diameter was controlled by the \u03b2-band power of the selected contacts. Powers in the \u03b2-band during 5 min resting sessions recorded before and after the feedback were compared. In the down-training condition, the \u03b2-band power of the selected contacts decreased significantly after feedback in all four patients ( < 0.05). In contrast, the \u03b2-band power significantly increased after feedback in two of four patients in the up-training condition. Overall, the patients could voluntarily control the \u03b2-band power in STN in the instructed direction ( < 0.05) through neurofeedback.",
      "authors": [
        "Fukuma, Ryohei",
        "Yanagisawa, Takufumi",
        "Tanaka, Masataka",
        "Yoshida, Fumiaki",
        "Hosomi, Koichi",
        "Oshino, Satoru",
        "Tani, Naoki",
        "Kishima, Haruhiko"
      ],
      "categories": null,
      "citations": null,
      "comments": null,
      "databases": [
        "PubMed"
      ],
      "doi": "10.1523/ENEURO.0246-18.2018",
      "keywords": [
        "N beta power",
        "N voluntary control",
        "N Parkinson disease",
        "#text",
        "N neurofeedback",
        "N deep brain stimulation",
        "N EEG",
        "@UI"
      ],
      "number_of_pages": null,
      "pages": null,
      "publication": {
        "category": "Journal",
        "cite_score": 5.4,
        "is_potentially_predatory": false,
        "isbn": null,
        "issn": "2373-2822",
        "publisher": "Society for Neuroscience",
        "sjr": 1.309,
        "snip": 0.893,
        "subject_areas": [
          "Neuroscience (all)"
        ],
        "title": "eNeuro"
      },
      "publication_date": "2018-12-21",
      "selected": false,
      "title": "Real-Time Neurofeedback to Modulate \u03b2-Band Power in the Subthalamic Nucleus in Parkinson's Disease Patients.",
      "urls": []
    },
    {
      "abstract": "Neurofeedback based on real-time functional MRI is an emerging technique to train voluntary control over brain activity in healthy and disease states. Recent developments even allow for training of brain networks using connectivity feedback based on dynamic causal modeling (DCM). DCM is an influential hypothesis-driven approach that requires prior knowledge about the target brain network dynamics and the modulatory influences. Data-driven approaches, such as tensor independent component analysis (ICA), can reveal spatiotemporal patterns of brain activity without prior assumptions. Tensor ICA allows flexible data decomposition and extraction of components consisting of spatial maps, time-series, and session/subject-specific weights, which can be used to characterize individual neurofeedback regulation per regulation trial, run, or session. In this study, we aimed to better understand the spatiotemporal brain patterns involved and affected by model-based feedback regulation using data-driven tensor ICA. We found that task-specific spatiotemporal brain patterns obtained using tensor ICA were highly consistent with model-based feedback estimates. However, we found that the DCM approach captured specific network interdependencies that went beyond what could be detected with either general linear model (GLM) or ICA approaches. We also found that neurofeedback-guided regulation resulted in activity changes that were characteristic of the mental strategies used to control the feedback signal, and that these activity changes were not limited to periods of active self-regulation, but were also evident in distinct gradual recovery processes during subsequent rest periods. Complementary data-driven and model-based approaches could aid in interpretation of the neurofeedback data when applied post-hoc, and in the definition of the target brain area/pattern/network/model prior to the neurofeedback training study when applied to the pilot data. Systematically investigating the triad of mental effort, spatiotemporal brain network changes, and activity and recovery processes might lead to a better understanding of how learning with neurofeedback is accomplished, and how such learning can cause plastic brain changes along with specific behavioral effects. \u00c2\u00a9 2018 Elsevier Inc.",
      "authors": [
        "Koush, Yury",
        "Masala, Nemanja",
        "Scharnowski, Frank",
        "Van De Ville, Dimitri"
      ],
      "categories": null,
      "citations": 9,
      "comments": null,
      "databases": [
        "Scopus",
        "PubMed"
      ],
      "doi": "10.1016/j.neuroimage.2018.08.067",
      "keywords": [
        "N Dynamic causal modeling",
        "D016428 Journal Article",
        "N Tensor independent component analysis",
        "N Real-time fMRI",
        "N Visual-spatial attention",
        "D013485 Research Support, Non-U.S. Gov't",
        "N Neurofeedback",
        "N Recovery processes",
        "N Deactivation",
        "N Activation",
        "N Data-driven",
        "N Model-based"
      ],
      "number_of_pages": 13,
      "pages": "214-226",
      "publication": {
        "category": "Journal",
        "cite_score": 11.6,
        "is_potentially_predatory": false,
        "isbn": null,
        "issn": "1095-9572",
        "publisher": "Academic Press Inc.",
        "sjr": 2.512,
        "snip": 1.782,
        "subject_areas": [
          "Cognitive Neuroscience",
          "neuroscience",
          "Neurology"
        ],
        "title": "NeuroImage"
      },
      "publication_date": "2018-08-31",
      "selected": false,
      "title": "Data-driven tensor independent component analysis for model-based connectivity neurofeedback.",
      "urls": [
        "https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85053457587&origin=inward"
      ]
    },
    {
      "abstract": "Cross-brain neural synchronization has widely been found between participants during social interactions and is suggested to play an important role in human social interactions. Neurofeedback technology feeds the neural signatures of a participant back to himself to modulate his own brain activity. Researches have applied the technology into cross-brain interactions using functional near-infrared spectroscopy (fNIRS) and let two participants do collaborative tasks using brain activities. However, there are few studies in terms of cross-brain interaction based on Electroencephalogram (EEG) signals using neurofeedback technology. In this study, we developed a cross-brain interaction platform based on EEG signals using neurofeedback technology. The platform allows the participants to achieve cross-brain interaction directly with the medium of neurofeedback instead of other participants\u00e2\u0080\u0099 body languages or sounds. It was validated with an experiment using a \u00e2\u0080\u009ctug-of-war\u00e2\u0080\u009d game. Through the offline analysis, synchronization between the subjects were found at beta frequency bands across the brains. Cross-brain synchronization reflects the interaction state across the brains and may reflect the strategy that the participants choose. This study is still a preliminary work and needs further work to do. \u00c2\u00a9 Springer International Publishing AG, part of Springer Nature 2018.",
      "authors": [
        "Zhang, Rongrong",
        "Zhao, Xiaojie"
      ],
      "categories": null,
      "citations": 3,
      "comments": null,
      "databases": [
        "Scopus",
        "ACM"
      ],
      "doi": "10.1007/978-3-319-91470-1_19",
      "keywords": [
        "Cross-brain interaction",
        "EEG",
        "Neurofeedback"
      ],
      "number_of_pages": 9,
      "pages": "222-230",
      "publication": {
        "category": "Conference Proceedings",
        "cite_score": 2.2,
        "is_potentially_predatory": false,
        "isbn": "978-3-319-91469-5",
        "issn": "03029743",
        "publisher": "Springer Verlag",
        "sjr": 0.32,
        "snip": 0.542,
        "subject_areas": [
          "Theoretical Computer Science",
          "Computer Science (all)"
        ],
        "title": "Augmented Cognition: Intelligent Technologies: 12th International Conference, AC 2018, Held as Part of HCI International 2018, Las Vegas, NV, USA, July 15-20, 2018, Proceedings, Part I"
      },
      "publication_date": "2018-07-15",
      "selected": true,
      "title": "A Cross-Brain Interaction Platform Based on Neurofeedback Using Electroencephalogram",
      "urls": [
        "https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85050607463&origin=inward",
        "https://dl.acm.org/doi/10.1007/978-3-319-91470-1_19"
      ]
    },
    {
      "abstract": "Electroencephalography (EEG) has become increasingly valuable outside of its traditional use in neurology. EEG is now used for neuropsychiatric diagnosis, neurological evaluation of traumatic brain injury, neurotherapy, gaming, neurofeedback, mindfulness, and cognitive enhancement training. The trend to increase the number of EEG electrodes, the development of novel analytical methods, and the availability of large data sets has created a data analysis challenge to find the 'signal of interest' that conveys the most information about ongoing cognitive effort. Accordingly, we compare three common types of neural synchrony measures that are applied to EEG - power analysis, phase locking, and phase-amplitude coupling to assess which analytical measure provides the best separation between EEG signals that were recorded, while healthy subjects performed eight cognitive tasks - Hopkins Verbal Learning Test and its delayed version, Stroop Test, Symbol Digit Modality Test, Controlled Oral Word Association Test, Trail Marking Test, Digit Span Test, and Benton Visual Retention Test. We find that of the three analytical methods, phase-amplitude coupling, specifically theta (4-7 Hz) - high gamma (70-90 Hz) obtained from frontal and parietal EEG electrodes provides both the largest separation between the EEG during cognitive tasks and also the highest classification accuracy between pairs of tasks. We also find that phase-locking analysis provides the most distinct clustering of tasks based on their utilization of long-term memory. Finally, we show that phase-amplitude coupling is the least sensitive to contamination by intense jaw-clenching muscle artifact. \u00c2\u00a9 2001-2011 IEEE.",
      "authors": [
        "Dvorak, Dino",
        "Shang, Andrea",
        "Abdel-Baki, Samah",
        "Suzuki, Wendy",
        "Fenton, Andre A"
      ],
      "categories": null,
      "citations": 27,
      "comments": null,
      "databases": [
        "IEEE",
        "Scopus",
        "PubMed"
      ],
      "doi": "10.1109/TNSRE.2018.2797547",
      "keywords": [
        "Electroencephalography",
        "synchrony",
        "muscle artifact",
        "cognition"
      ],
      "number_of_pages": 11,
      "pages": "729-739",
      "publication": {
        "category": "Journal",
        "cite_score": 8.8,
        "is_potentially_predatory": false,
        "isbn": null,
        "issn": "1558-0210",
        "publisher": "Institute of Electrical and Electronics Engineers Inc.",
        "sjr": 1.26,
        "snip": 1.675,
        "subject_areas": [
          "Rehabilitation",
          "Biomedical Engineering",
          "Internal Medicine",
          "Neuroscience (all)"
        ],
        "title": "IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society"
      },
      "publication_date": "2018-04-01",
      "selected": false,
      "title": "Cognitive Behavior Classification From Scalp EEG Signals.",
      "urls": [
        "https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8268577",
        "https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85040968907&origin=inward"
      ]
    },
    {
      "abstract": "Brain-computer interfaces provide conscious access to neural activity by means of brain-derived feedback (\"neurofeedback\"). An individual's abilities to monitor and control feedback are two necessary processes for effective neurofeedback therapy, yet their underlying functional neuroanatomy is still being debated. In this study, healthy subjects received visual feedback from their amygdala response to negative pictures. Activation and functional connectivity were analyzed to disentangle the role of brain regions in different processes. Feedback monitoring was mapped to the thalamus, ventromedial prefrontal cortex (vmPFC), ventral striatum (VS), and rostral PFC. The VS responded to feedback corresponding to instructions while rPFC activity differentiated between conditions and predicted amygdala regulation. Control involved the lateral PFC, anterior cingulate, and insula. Monitoring and control activity overlapped in the VS and thalamus. Extending current neural models of neurofeedback, this study introduces monitoring and control of feedback as anatomically dissociated processes, and suggests their important role in voluntary neuromodulation.",
      "authors": [
        "Paret, Christian",
        "Z\u00e4hringer, Jenny",
        "Ruf, Matthias",
        "Gerchen, Martin Fungisai",
        "Mall, Stephanie",
        "Hendler, Talma",
        "Schmahl, Christian",
        "Ende, Gabriele"
      ],
      "categories": null,
      "citations": null,
      "comments": null,
      "databases": [
        "PubMed"
      ],
      "doi": "10.1002/hbm.24057",
      "keywords": [
        "D016428 Journal Article",
        "N amygdala",
        "D013485 Research Support, Non-U.S. Gov't",
        "N neurofeedback",
        "N real-time fMRI",
        "N prefrontal cortex",
        "N emotion regulation"
      ],
      "number_of_pages": 14,
      "pages": "3018-3031",
      "publication": {
        "category": "Journal",
        "cite_score": 9.1,
        "is_potentially_predatory": false,
        "isbn": null,
        "issn": "1097-0193",
        "publisher": "Wiley-Liss Inc.",
        "sjr": 1.688,
        "snip": 1.395,
        "subject_areas": [
          "Anatomy",
          "Radiological and Ultrasound Technology",
          "Neurology",
          "Radiology, Nuclear Medicine and Imaging",
          "Neurology (clinical)"
        ],
        "title": "Human brain mapping"
      },
      "publication_date": "2018-03-30",
      "selected": false,
      "title": "Monitoring and control of amygdala neurofeedback involves distributed information processing in the human brain.",
      "urls": []
    },
    {
      "abstract": "Mu Rhythm Synchrony Neurofeedback (MRS-NFB) has shown promise in improving electrophysiological and behavioral deficits in autism spectrum disorder (ASD). Heart rate variability biofeedback (HRV-BFB), a method for improving self-regulation of the autonomic nervous system (ANS), has yet to be tested as a clinical intervention for ASD. This study evaluated the impact of HRV-BFB on symptoms of ASD; and whether a combined HRV-BFB + MRS-NFB intervention would be more efficacious than HRV-BFB alone. Fifteen children with a verified diagnosis of ASD completed the study. Participants were assigned to either an HRV-BFB group (Group 1) or a combined HRV-BFB + MRS-NFB group (Group 2). All children underwent pre- and postassessments of electroencephalography (EEG), heart rate variability (HRV), and parent-reported behaviors. No significant between-groups differences were observed on any parent-reported behaviors. Group 1 showed significant pre-post improvements in emotion regulation and social behavior, while Group 2 showed significant pre-post improvements in emotional lability and autistic behaviors. Group 2 also showed significant improvements in RMSSD and lnHF (vagal tone) indices of HRV over time, while Group 1 displayed no significant changes in HRV over time. Group 1 showed an increase in mu suppression posttraining, and Group 2 showed a reduction in mu suppression posttraining. The results suggest that HRV-BFB, alone or in combination with MRSNFB, may improve behavioral features of autism. A combined approach may be more efficacious in enhancing HRV, while the implications of each approach on mu suppression are mixed. Neurovisceral approaches that teach self-regulation offer a novel treatment avenue for ASD. \u00c2\u00a9 2018. Peper and Harvey.",
      "authors": [
        "Goodman, M.S.",
        "Castro, N.",
        "Sloan, M.",
        "Sharma, R.",
        "Widdowson, M.",
        "Herrera, E.",
        "Pineda, J.A."
      ],
      "categories": null,
      "citations": 10,
      "comments": null,
      "databases": [
        "Scopus"
      ],
      "doi": "10.15540/nr.5.1.9",
      "keywords": [
        "Heart rate variability",
        "Biofeedback",
        "Neurofeedback",
        "Mirror neuron system",
        "Mu rhythms",
        "Autism",
        "Neurovisceral integration"
      ],
      "number_of_pages": 21,
      "pages": "9-29",
      "publication": {
        "category": "Journal",
        "cite_score": null,
        "is_potentially_predatory": false,
        "isbn": null,
        "issn": null,
        "publisher": null,
        "sjr": null,
        "snip": null,
        "subject_areas": [],
        "title": "NeuroRegulation"
      },
      "publication_date": "2018-01-01",
      "selected": false,
      "title": "A neurovisceral approach to autism: Targeting self-regulation and core symptoms using neurofeedback and biofeedback",
      "urls": [
        "https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85046059722&origin=inward"
      ]
    },
    {
      "abstract": "Real-time fMRI neurofeedback (rtfMRI-nf) with simultaneous EEG allows volitional modulation of BOLD activity of target brain regions and investigation of related electrophysiological activity. We applied this approach to study correlations between thalamic BOLD activity and alpha EEG rhythm. Healthy volunteers in the experimental group (EG, n\u2009=\u200915) learned to upregulate BOLD activity of the target region consisting of the mediodorsal (MD) and anterior (AN) thalamic nuclei using rtfMRI-nf during retrieval of happy autobiographical memories. Healthy subjects in the control group (CG, n\u2009=\u200914) were provided with a sham feedback. The EG participants were able to significantly increase BOLD activities of the MD and AN. Functional connectivity between the MD and the inferior precuneus was significantly enhanced during the rtfMRI-nf task. Average individual changes in the occipital alpha EEG power significantly correlated with the average MD BOLD activity levels for the EG. Temporal correlations between the occipital alpha EEG power and BOLD activities of the MD and AN were significantly enhanced, during the rtfMRI-nf task, for the EG compared to the CG. Temporal correlations with the alpha power were also significantly enhanced for the posterior nodes of the default mode network, including the precuneus/posterior cingulate, and for the dorsal striatum. Our findings suggest that the temporal correlation between the MD BOLD activity and posterior alpha EEG power is modulated by the interaction between the MD and the inferior precuneus, reflected in their functional connectivity. Our results demonstrate the potential of the rtfMRI-nf with simultaneous EEG for noninvasive neuromodulation studies of human brain function.",
      "authors": [
        "Zotev, Vadim",
        "Misaki, Masaya",
        "Phillips, Raquel",
        "Wong, Chung Ki",
        "Bodurka, Jerzy"
      ],
      "categories": null,
      "citations": null,
      "comments": null,
      "databases": [
        "PubMed"
      ],
      "doi": "10.1002/hbm.23902",
      "keywords": [
        "@UI",
        "N EEG-fMRI",
        "N alpha rhythm",
        "N memory",
        "N dorsal striatum",
        "N precuneus",
        "N neurofeedback",
        "N anterior nucleus",
        "N thalamus",
        "N real-time fMRI",
        "N mediodorsal nucleus",
        "#text"
      ],
      "number_of_pages": 19,
      "pages": "1024-1042",
      "publication": {
        "category": "Journal",
        "cite_score": 9.1,
        "is_potentially_predatory": false,
        "isbn": null,
        "issn": "1097-0193",
        "publisher": "Wiley-Liss Inc.",
        "sjr": 1.688,
        "snip": 1.395,
        "subject_areas": [
          "Anatomy",
          "Radiological and Ultrasound Technology",
          "Neurology",
          "Radiology, Nuclear Medicine and Imaging",
          "Neurology (clinical)"
        ],
        "title": "Human brain mapping"
      },
      "publication_date": "2017-11-27",
      "selected": false,
      "title": "Real-time fMRI neurofeedback of the mediodorsal and anterior thalamus enhances correlation between thalamic BOLD activity and alpha EEG rhythm.",
      "urls": []
    },
    {
      "abstract": "Novel communication techniques have always been fascinating for humankind. This pilot study presents an approach to human interaction by combining direct brain-to-brain interface (BBI) and muscle-to-muscle interface (MMI) in a closed-loop pattern. In this system, artificial paths (data flows) functionally connect natural paths (nerves). The intention from one subject (sender) is recognized using electroencephalography (EEG) based brain-computer interface (BCI), which is sent out to trigger transcranial magnetic stimulation (TMS) on the other subject (receiver) and induce hand motion; meanwhile TMS results in a significant change on the motor evoked potentials (MEP) recorded by electromyography (EMG) of the receiver's arm, which triggers functional electrical stimulation (FES) applied to the sender's arm and generates hand motion. Human-controlled loop and automatic control loop experiments were performed with 6 pairs of healthy subjects to evaluate the performance of the introduced mechanism. The results indicated that response accuracy during human-controlled experiments was 85% which demonstrates the feasibility of the proposed method. During the automatic control test, two subjects could accomplish repetitive and reciprocal hand motion control up to 85 times consecutively. \u00c2\u00a9 2017 The Author(s).",
      "authors": [
        "Mashat, M Ebrahim M",
        "Li, Guangye",
        "Zhang, Dingguo"
      ],
      "categories": null,
      "citations": 22,
      "comments": null,
      "databases": [
        "Scopus",
        "PubMed"
      ],
      "doi": "10.1038/s41598-017-10957-z",
      "keywords": [],
      "number_of_pages": null,
      "pages": "11001",
      "publication": {
        "category": "Journal",
        "cite_score": 7.5,
        "is_potentially_predatory": false,
        "isbn": null,
        "issn": "2045-2322",
        "publisher": "Nature Publishing Group",
        "sjr": 0.973,
        "snip": 1.312,
        "subject_areas": [
          "Multidisciplinary"
        ],
        "title": "Scientific reports"
      },
      "publication_date": "2017-09-08",
      "selected": false,
      "title": "Human-to-human closed-loop control based on brain-to-brain interface and muscle-to-muscle interface.",
      "urls": [
        "https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85028986771&origin=inward"
      ]
    },
    {
      "abstract": "Detection and evaluation of the mismatch between the intended and actually obtained result of an action (reward prediction error) is an integral component of adaptive self-regulation of behavior. Extensive human and animal research has shown that evaluation of action outcome is supported by a distributed network of brain regions in which the anterior cingulate cortex (ACC) plays a central role, and the integration of distant brain regions into a unified feedback-processing network is enabled by long-range phase synchronization of cortical oscillations in the theta band. Neural correlates of feedback processing are associated with individual differences in normal and abnormal behavior, however, little is known about the role of genetic factors in the cerebral mechanisms of feedback processing. Here we examined genetic influences on functional cortical connectivity related to prediction error in young adult twins (age 18, n\u00c2 =\u00c2 399) using event-related EEG phase coherence analysis in a monetary gambling task. To identify prediction error-specific connectivity pattern, we compared responses to loss and gain feedback. Monetary loss produced a significant increase of theta-band synchronization between the frontal midline region and widespread areas of the scalp, particularly parietal areas, whereas gain resulted in increased synchrony primarily within the posterior regions. Genetic analyses showed significant heritability of frontoparietal theta phase synchronization (24 to 46%), suggesting that individual differences in large-scale network dynamics are under substantial genetic control. We conclude that theta-band synchronization of brain oscillations related to negative feedback reflects genetically transmitted differences in the neural mechanisms of feedback processing. To our knowledge, this is the first evidence for genetic influences on task-related functional brain connectivity assessed using direct real-time measures of neuronal synchronization. \u00c2\u00a9 2016 Elsevier B.V.",
      "authors": [
        "Demiral, \u015e\u00fckr\u00fc Bar\u0131\u015f",
        "Golosheykin, Simon",
        "Anokhin, Andrey P"
      ],
      "categories": null,
      "citations": 4,
      "comments": null,
      "databases": [
        "Scopus",
        "PubMed"
      ],
      "doi": "10.1016/j.ijpsycho.2016.12.013",
      "keywords": [
        "D016428 Journal Article",
        "N Feedback",
        "D052061 Research Support, N.I.H., Extramural",
        "N Phase coherence",
        "D018486 Twin Study",
        "N Prediction error",
        "N EEG",
        "N Connectivity",
        "N Brain oscillations",
        "N Neural synchrony",
        "N Genetics"
      ],
      "number_of_pages": 9,
      "pages": "133-141",
      "publication": {
        "category": "Journal",
        "cite_score": 4.8,
        "is_potentially_predatory": false,
        "isbn": null,
        "issn": "1872-7697",
        "publisher": "Elsevier",
        "sjr": 0.854,
        "snip": 1.041,
        "subject_areas": [
          "Physiology (medical)",
          "Neuroscience (all)",
          "Neuropsychology and Physiological Psychology"
        ],
        "title": "International journal of psychophysiology : official journal of the International Organization of Psychophysiology"
      },
      "publication_date": "2016-12-31",
      "selected": false,
      "title": "Genetic influences on functional connectivity associated with feedback processing and prediction error: Phase coupling of theta-band oscillations in twins.",
      "urls": [
        "https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85009209146&origin=inward"
      ]
    },
    {
      "abstract": "Thalamocortical neurons have thousands of synaptic connections from layer VI corticothalamic neurons distributed across their dendritic trees. Although corticothalamic synapses provide significant excitatory input, it remains unknown how different spatial and temporal input patterns are integrated by thalamocortical neurons. Using dendritic recording, 2-photon glutamate uncaging, and computational modeling, we investigated how rat dorsal lateral geniculate nucleus thalamocortical neurons integrate excitatory corticothalamic feedback. We find that unitary corticothalamic inputs produce small somatic EPSPs whose amplitudes are passively normalized and virtually independent of the site of origin within the dendritic tree. Furthermore, uncaging of MNI glutamate reveals that thalamocortical neurons have postsynaptic voltage-dependent mechanisms that can amplify integrated corticothalamic input. These mechanisms, involving NMDA receptors and T-type Ca2+ channels, require temporally synchronous synaptic activation but not spatially coincident input patterns. In hyperpolarized thalamocortical neurons, T-type Ca2+ channels produce nonlinear amplification of temporally synchronous inputs, whereas asynchronous inputs are not amplified. At depolarized potentials, the input-output function for synchronous synaptic input is linear but shows enhanced gain due to activity-dependent recruitment of NMDA receptors. Computer simulations reveal that EPSP amplification by T-type Ca2+ channels and NMDA receptors occurs when synaptic inputs are either clustered onto individual dendrites or when they are distributed throughout the dendritic tree. Consequently, postsynaptic EPSP amplification mechanisms limit the \u00e2\u0080\u009cmodulatory\u00e2\u0080\u009d effects of corticothalamic synaptic inputs on thalamocortical neuron membrane potential and allow these synapses to act as synchrony-dependent \u00e2\u0080\u009cdrivers\u00e2\u0080\u009d of thalamocortical neuron firing. These complex thalamocortical input-output transformations significantly increase the influence of corticothalamic feedback on sensory information transfer. \u00c2\u00a9 2016 Connelly et al.",
      "authors": [
        "Connelly, W.M.",
        "Crunelli, V.",
        "Errington, A.C."
      ],
      "categories": null,
      "citations": 15,
      "comments": null,
      "databases": [
        "Scopus"
      ],
      "doi": "10.1523/JNEUROSCI.3836-15.2016",
      "keywords": [
        "T-type calcium channel",
        "NMDA receptor",
        "Dendritic integration",
        "Passive normalization",
        "Thalamocortical"
      ],
      "number_of_pages": 20,
      "pages": "3735-3754",
      "publication": {
        "category": "Journal",
        "cite_score": 9.9,
        "is_potentially_predatory": false,
        "isbn": null,
        "issn": "02706474",
        "publisher": "Society for Neuroscience",
        "sjr": 2.35,
        "snip": 1.471,
        "subject_areas": [
          "Neuroscience (all)"
        ],
        "title": "Journal of Neuroscience"
      },
      "publication_date": "2016-03-30",
      "selected": false,
      "title": "Passive synaptic normalization and input synchrony-dependent amplification of cortical feedback in thalamocortical neuron dendrites",
      "urls": [
        "https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84962018402&origin=inward"
      ]
    },
    {
      "abstract": "UNLABELLED Neurofeedback (EEG biofeedback, NF) is one of the methods of non-pharmacological instrumental therapy. In the treatment of epilepsy it is considered as a complementary method, reducing the number of seizures. The aim of this study was to investigate the effect of NF on the incidence of clinical attacks and bioelectrical activity of the brain in children with epilepsy with partial seizures and secondarily generalized seizures.\nMATERIAL AND METHODS METHODS The study involved a group of 78 children with partial seizures, additionally 30 of them had second-ry generalized seizures. There were 35 girls and 43 boys ranging in age from 5 to 17.5 years. They were treated with NF in the Neuromedica Institute in Krakow, in the period 2005-2015. Treatment time ranged from 6 months to 3 years. We have evaluated the incidence of seizures before and after NF therapy. Visual analysis of EEG recordings with assessment of background activity, location of focal changes, presence of paroxysmal pattern and epileptic graphoelements.\nRESULTS RESULTS In 41/78 children seizures occurred 1-2 times a month, in 19/78 every day and 9 children were diagnosed with epileptic syndrome. During NF therapy 52/78 children experienced resolution of clinical seizures. NF therapy was ineffective in only one child. In 18 child withdrawal of antiepileptic treatment was achieved and in 22 reduction of drug doses. Epileptic graphoelements occurred in 46/78 children before treatment and in 21/78 children after treatment. Before NF therapy irregular bio-electrical activity was found in 51 children versus 27 children with regular bioelectric activity and in 27 children versus 51 children after the therapy. The amplitude of this activity returned to normal in 19 children, and in 29 children the frequency of background activity. Particularly surprising was to restore synchrony and symmetry of EEG pattern in 44 children (11 children before NF treatment to 55 children after the treatment). Even more significant effect of NF therapy was observed in EEG patterns, abolition of paroxysmal pattern and reduction of continuous, localized and generalized changes. NF therapy also advantageously reduced the number of localized changes and decreased sensitivity of EEG pattern to hyperventilation and photostimulation.\nCONCLUSIONS CONCLUSIONS During NF therapy in almost all children with epileptic partial seizures and secondarily generalized seizures resolution or reduction of clinical seizures was observed. In nearly 1/4 of children withdrawal of antiepileptic treatment was achieved and in higher number reduction of pharmacotherapy. All parameters of the background EEG bioelectric activity in these children have improved, especially synchrony and symmetry of EEG pattern and paroxysmal changes subsided.",
      "authors": [
        "Kubik, Pawe\u0142",
        "Stanios, Martyna",
        "Iwan, Ewelina",
        "Kubik, Alicja"
      ],
      "categories": null,
      "citations": null,
      "comments": null,
      "databases": [
        "PubMed"
      ],
      "doi": null,
      "keywords": [],
      "number_of_pages": 98,
      "pages": "157-60",
      "publication": {
        "category": "Journal",
        "cite_score": 0.5,
        "is_potentially_predatory": false,
        "isbn": null,
        "issn": "0033-2240",
        "publisher": "Fundacja Lekarzy Polskich-Pro-Medica",
        "sjr": 0.118,
        "snip": 1.041,
        "subject_areas": [
          "Medicine (all)"
        ],
        "title": "Przeglad lekarski"
      },
      "publication_date": "2016-01-01",
      "selected": false,
      "title": "[Neurofeedback therapy influence on clinical status and some EEG parameters in children with localized epilepsy].",
      "urls": []
    },
    {
      "abstract": "The present review elucidated the use of optical imaging technique (Near-Infrared Spectroscopy, NIRS) to better explain the brain plasticity for learning mechanisms, rehabilitation and post-traumatic brain recovery. Some recent applications were discussed, with specific focus on the usability of integrated measures (such as electroencephalography, EEG-NIRS; Transcranial Magnet Stimulation, TMS-NIRS) to study plasticity and its dynamic effects. NIRS-Neurofeedback and NIRS-BCI (Brain Computer Interface) were also explored as possible tools to produce a specific long-lasting learning in relationship with a specific cognitive domain. Finally a proficient domain where NIRS was found to be useful to test neuroplasticity is the interpersonal brain-tobrain coupling, termed \"hyperscanning\", a new emerging paradigm in neuroscience which measures brain activity from two or more people simultaneously.",
      "authors": [
        "Balconi, M."
      ],
      "categories": null,
      "citations": 2,
      "comments": null,
      "databases": [
        "Scopus"
      ],
      "doi": "10.7358/neur-2016-019-balc",
      "keywords": [
        "Rehabilitation",
        "Brain plasticity",
        "NIRS",
        "Hyperconnection"
      ],
      "number_of_pages": 12,
      "pages": "71-82",
      "publication": {
        "category": "Journal",
        "cite_score": 0.8,
        "is_potentially_predatory": false,
        "isbn": null,
        "issn": "1970321X",
        "publisher": "LED Edizioni Universitarie",
        "sjr": 0.149,
        "snip": 0.24,
        "subject_areas": [
          "Cellular and Molecular Neuroscience",
          "Neuropsychology and Physiological Psychology"
        ],
        "title": "Neuropsychological Trends"
      },
      "publication_date": "2016-01-01",
      "selected": false,
      "title": "Brain plasticity and rehabilitation by using near-infrared spectroscopy",
      "urls": [
        "https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84964317918&origin=inward"
      ]
    },
    {
      "abstract": "UNLABELLED: Neurofeedback (EEG biofeedback, NF) is one of the methods of non-pharmacological instrumental therapy. In the treatment of epilepsy it is considered as a complementary method, reducing the number of seizures. The aim of this study was to investigate the effect of NF on the incidence of clinical attacks and bioelectrical activity of the brain in children with epilepsy with partial seizures and secondarily generalized seizures.MATERIAL AND METHODS: The study involved a group of 78 children with partial seizures, additionally 30 of them had second-ry generalized seizures. There were 35 girls and 43 boys ranging in age from 5 to 17.5 years. They were treated with NF in the Neuromedica Institute in Krakow, in the period 2005-2015. Treatment time ranged from 6 months to 3 years. We have evaluated the incidence of seizures before and after NF therapy. Visual analysis of EEG recordings with assessment of background activity, location of focal changes, presence of paroxysmal pattern and epileptic graphoelements.RESULTS: In 41/78 children seizures occurred 1-2 times a month, in 19/78 every day and 9 children were diagnosed with epileptic syndrome. During NF therapy 52/78 children experienced resolution of clinical seizures. NF therapy was ineffective in only one child. In 18 child withdrawal of antiepileptic treatment was achieved and in 22 reduction of drug doses. Epileptic graphoelements occurred in 46/78 children before treatment and in 21/78 children after treatment. Before NF therapy irregular bio-electrical activity was found in 51 children versus 27 children with regular bioelectric activity and in 27 children versus 51 children after the therapy. The amplitude of this activity returned to normal in 19 children, and in 29 children the frequency of background activity. Particularly surprising was to restore synchrony and symmetry of EEG pattern in 44 children (11 children before NF treatment to 55 children after the treatment). Even more significant effect of NF therapy was observed in EEG patterns, abolition of paroxysmal pattern and reduction of continuous, localized and generalized changes. NF therapy also advantageously reduced the number of localized changes and decreased sensitivity of EEG pattern to hyperventilation and photostimulation.CONCLUSIONS: During NF therapy in almost all children with epileptic partial seizures and secondarily generalized seizures resolution or reduction of clinical seizures was observed. In nearly 1/4 of children withdrawal of antiepileptic treatment was achieved and in higher number reduction of pharmacotherapy. All parameters of the background EEG bioelectric activity in these children have improved, especially synchrony and symmetry of EEG pattern and paroxysmal changes subsided.",
      "authors": [
        "Kubik, P.",
        "Stanios, M.",
        "Iwan, E.",
        "Kubik, A."
      ],
      "categories": null,
      "citations": 0,
      "comments": null,
      "databases": [
        "Scopus"
      ],
      "doi": null,
      "keywords": [],
      "number_of_pages": 4,
      "pages": "157-160",
      "publication": {
        "category": "Journal",
        "cite_score": 0.5,
        "is_potentially_predatory": false,
        "isbn": null,
        "issn": "00332240",
        "publisher": "Fundacja Lekarzy Polskich-Pro-Medica",
        "sjr": 0.118,
        "snip": 1.041,
        "subject_areas": [
          "Medicine (all)"
        ],
        "title": "Przegla\u0327d lekarski"
      },
      "publication_date": "2016-01-01",
      "selected": false,
      "title": "Neurofeedback therapy influence on clinical status and some EEG parameters in children with localized epilepsy",
      "urls": [
        "https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84979090700&origin=inward"
      ]
    },
    {
      "abstract": "OBJECTIVE OBJECTIVE To investigate the abortion of seizure generation using \"minimal\" intervention in hippocampi using two rat models of human temporal lobe epilepsy.\nMETHODS METHODS The recording or stimulation electrodes were implanted into both hippocampi (CA1 area). Using the kainic acid (chronic: experiment duration 24\u00a0days) and the 4-aminopyridine (acute: experiment duration 2\u00a0h) models of paroxysms in rats, a real-time feedback stimulation paradigm was implemented, which triggered a short periodic electrical stimulus (5\u00a0Hz for 5\u00a0s) upon detecting a seizure precursor. Our seizure precursor detection algorithm relied on the monitoring of the real-time phase synchronization analysis, and detected/anticipated electrographic seizures as early as a few seconds to a few minutes before the behavioral and electrographic seizure onset, with a very low false-positive rate of the detection.\nRESULTS RESULTS The baseline mean seizure frequencies were 5.39 seizures per day (chronic) and 13.2 seizures per hour (acute). The phase synchrony analysis detected 88% (434 of 494) of seizures with a mean false alarm of 0.67 per day (chronic) and 83% (86 of 104) of seizures with a mean false alarm of 0.47 per hour (acute). The feedback stimulation reduced the seizure frequencies to 0.41 seizures per day (chronic) and 2.4 seizures per hour (acute). Overall, the feedback stimulation paradigm reduced seizure frequency by a minimum of 80% to a maximum of 100% in 10 rats, with 83% of the animals rendered seizure-free.\nSIGNIFICANCE CONCLUSIONS This approach represents a simple and efficient manner for stopping seizure development. Because of the short on-demand stimuli, few or no associated side effects are expected in clinical application in patients with epilepsy. Abnormal synchrony patterns are common features in epilepsy and other neurologic and psychiatric syndromes; therefore, this type of feedback stimulation paradigm could be a novel therapeutic modality for use in various neurologic and psychiatric disorders.",
      "authors": [
        "Salam, Muhammad T",
        "Kassiri, Hossein",
        "Genov, Roman",
        "Perez Velazquez, Jose L"
      ],
      "categories": null,
      "citations": 24,
      "comments": null,
      "databases": [
        "Scopus",
        "PubMed"
      ],
      "doi": "10.1111/epi.13064",
      "keywords": [
        "D016428 Journal Article",
        "N In vivo",
        "D013485 Research Support, Non-U.S. Gov't",
        "N Feedback stimulation",
        "N Electrical stimulation",
        "N Phase synchrony",
        "N Epilepsy"
      ],
      "number_of_pages": 1190,
      "pages": "1227-1238",
      "publication": {
        "category": "Journal",
        "cite_score": 10.6,
        "is_potentially_predatory": false,
        "isbn": null,
        "issn": "1528-1167",
        "publisher": "Wiley-Blackwell Publishing Ltd",
        "sjr": 1.966,
        "snip": 1.893,
        "subject_areas": [
          "Neurology (clinical)",
          "Neurology"
        ],
        "title": "Epilepsia"
      },
      "publication_date": "2015-06-29",
      "selected": false,
      "title": "Rapid brief feedback intracerebral stimulation based on real-time desynchronization detection preceding seizures stops the generation of convulsive paroxysms.",
      "urls": [
        "https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84938748431&origin=inward"
      ]
    },
    {
      "abstract": "Tinnitus is the perception of a sound in the absence of an external sound source. Pathophysiologically it has been attributed to bottom up deafferentation and/or top down noise-cancelling deficit. Both mechanisms are proposed to alter auditory thalamocortical signal transmission resulting in thalamocortical dysrhythmia (TCD). In deafferentation, TCD is characterized by a slowing down of resting state alpha to theta activity associated with an increase in surrounding gamma activity, resulting in persisting cross-frequency coupling between theta and gamma activity. Theta burst-firing increases network synchrony and recruitment, a mechanism which might enable long range synchrony, which in turn could represent a means for finding the missing thalamocortical information and for gaining access to consciousness. Theta oscillations could function as a carrier wave to integrate the tinnitus related focal auditory gamma activity in a consciousness enabling network, as envisioned by the global workspace model. This model suggests that focal activity in the brain does not reach consciousness, except if the focal activity becomes functionally coupled to a consciousness enabling network, aka the global workspace. In limited deafferentation the missing information can be retrieved from the auditory cortical neighborhood, decreasing surround inhibition, resulting in TCD. When the deafferentation is too wide in bandwidth it is hypothesized that the missing information is retrieved from theta mediated parahippocampal auditory memory. This suggests that based on the amount of deafferentation TCD might change to parahippocampo-cortical persisting and thus pathological theta-gamma rhythm. From a Bayesian point of view, in which the brain is conceived as a prediction machine that updates its memory-based predictions through sensory updating, tinnitus is the result of a prediction error between the predicted and sensed auditory input. The decrease in sensory updating is reflected by decreased alpha activity and the prediction error results in theta gamma and beta-gamma coupling.Thus TCD can be considered an adaptive mechanism to retrieve missing auditory input in tinnitus. \u00c2\u00a9 2015 De Ridder, Vanneste, Langguth and Llinas.",
      "authors": [
        "De Ridder, D.",
        "Vanneste, S.",
        "Langguth, B.",
        "Llinas, R."
      ],
      "categories": null,
      "citations": 176,
      "comments": null,
      "databases": [
        "Scopus"
      ],
      "doi": "10.3389/fneur.2015.00124",
      "keywords": [
        "Theta",
        "Thalamocortical dysrhythmia",
        "Gamma",
        "Alpha",
        "EEG",
        "Bayes",
        "Prediction",
        "Cross frequency coupling",
        "Tinnitus",
        "MEG"
      ],
      "number_of_pages": null,
      "pages": null,
      "publication": {
        "category": "Journal",
        "cite_score": null,
        "is_potentially_predatory": false,
        "isbn": null,
        "issn": null,
        "publisher": null,
        "sjr": null,
        "snip": null,
        "subject_areas": [],
        "title": "Frontiers in Neurology"
      },
      "publication_date": "2015-01-01",
      "selected": false,
      "title": "Thalamocortical dysrhythmia: A theoretical update in tinnitus",
      "urls": [
        "https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84930627089&origin=inward"
      ]
    },
    {
      "abstract": "In this work we proposed a novel concept of cross-brain neurofeedback, extending neurofeedback research from regulation of neural activities of a single brain to that of neural synchronization of two interacting brains. This article describes the design and implementation of two sets of functional near-infrared spectroscopy (fNIRS) based two-person neurofeedback platforms with high ecological validity: 1) platform based on a single fNIRS recording system at one location and 2) an internet-based platform connecting two fNIRS recording systems at different locations. Each platform simultaneously records two participants' neural signals, calculates the neural synchronization index in real-time, and feeds back the index to the participants through a visualization. The feedback information enables participants to try different regulation strategies to voluntarily control their neural synchronization, which may lead to changes in social cognition and behavior. In an application of single fNIRS based platform, HbO signals in the specific brain regions of two subjects were so much alike, indicating that their neuro activities were synchronized. Moreover, in preliminary experiment for the internet-based platform, two subjects performed collaboration task. The ball in the most of the time is maintained between two dotted lines, which implied two subjects were in synchronization. Preliminary experiments demonstrating that both participants successfully regulated and synchronized their brain activities in a social interaction situation validate our fNIRS-based cross-brain neurofeedback platform.",
      "authors": [
        "Liu, W.-J.",
        "Duan, L.",
        "Dai, R.-N.",
        "Xiao, X.",
        "Li, Z.",
        "Huang, Y.-X.",
        "Yang, Y.-B.",
        "Zhu, C.-Z."
      ],
      "categories": null,
      "citations": 0,
      "comments": null,
      "databases": [
        "Scopus"
      ],
      "doi": "10.3969/j.issn.0258-8021.2014.06.03",
      "keywords": [
        "Neurofeedback",
        "Neural synchronization",
        "FNIRS",
        "Two-person neurofeedback",
        "Social cognition"
      ],
      "number_of_pages": 7,
      "pages": "652-658",
      "publication": {
        "category": "Journal",
        "cite_score": 0.4,
        "is_potentially_predatory": false,
        "isbn": null,
        "issn": "02588021",
        "publisher": "Chinese Academy of Medical Sciences",
        "sjr": 0.118,
        "snip": 0.116,
        "subject_areas": [
          "Medicine (miscellaneous)",
          "Biomedical Engineering",
          "Bioengineering"
        ],
        "title": "Chinese Journal of Biomedical Engineering"
      },
      "publication_date": "2014-12-20",
      "selected": true,
      "title": "The cross-brain neurofeedback platform with high ecological validity",
      "urls": [
        "https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84921903373&origin=inward"
      ]
    },
    {
      "abstract": "Interpersonal synchrony is characterized by a temporary alignment of periodic behaviors with another person. This process requires that at least one of the two individuals monitors and adjusts his/her movements to maintain alignment with the other individual (the referent). Interestingly, recent research on interpersonal synchrony has found that people who are motivated to befriend an unfamiliar social referent tend to automatically synchronize with their social referents, raising the possibility that synchrony may be employed as an affiliation tool. It is unknown, however, whether the opposite is true; that is, whether the person serving as the referent of interpersonal synchrony perceives synchrony with his/her partner or experiences affiliative feelings toward the partner.To address this question, we performed a series of studies on interpersonal synchrony with a total of 100 participants. In all studies, participants served as the referent with no requirement to monitor or align their behavior with their partners. Unbeknown to the participants, the timings of their \"partner's\" movements were actually determined by a computer program based on the participant's (i.e., referent's) behavior.Overall, our behavioral results showed that the referent of a synchrony task expressed greater perceived synchrony and greater social affiliation toward a synchronous partner (i.e., one displaying low mean asynchrony and/or a narrow asynchrony range) than with an asynchronous partner (i.e., one displaying high mean asynchrony and/or high asynchrony range). Our neuroimaging study extended these results by demonstrating involvement of brain areas implicated in social cognition, embodied cognition, self-other expansion, and action observation as correlates of interpersonal synchrony (vs. asynchrony). These findings have practical implications for social interaction and theoretical implications for understanding interpersonal synchrony and social coordination. \u00c2\u00a9 2014 IBRO.",
      "authors": [
        "Cacioppo, S.",
        "Zhou, H.",
        "Monteleone, G.",
        "Majka, E.A.",
        "Quinn, K.A.",
        "Ball, A.B.",
        "Norman, G.J.",
        "Semin, G.R.",
        "Cacioppo, J.T."
      ],
      "categories": null,
      "citations": 75,
      "comments": null,
      "databases": [
        "Scopus"
      ],
      "doi": "10.1016/j.neuroscience.2014.07.051",
      "keywords": [
        "Dyads",
        "Interpersonal synchrony",
        "Shared representations",
        "Social neuroscience",
        "FMRI",
        "Embodied cognition"
      ],
      "number_of_pages": 17,
      "pages": "842-858",
      "publication": {
        "category": "Journal",
        "cite_score": 6.8,
        "is_potentially_predatory": false,
        "isbn": null,
        "issn": "03064522",
        "publisher": "Elsevier Ltd.",
        "sjr": 1.006,
        "snip": 0.846,
        "subject_areas": [
          "Neuroscience (all)"
        ],
        "title": "Neuroscience"
      },
      "publication_date": "2014-09-26",
      "selected": false,
      "title": "You are in sync with me: Neural correlates of interpersonal synchrony with a partner",
      "urls": [
        "https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84907053719&origin=inward"
      ]
    },
    {
      "abstract": "In Ridley Scott's film \"Blade Runner\", empathy-detection devices are employed to measure affiliative emotions. Despite recent neurocomputational advances, it is unknown whether brain signatures of affiliative emotions, such as tenderness/affection, can be decoded and voluntarily modulated. Here, we employed multivariate voxel pattern analysis and real-time fMRI to address this question. We found that participants were able to use visual feedback based on decoded fMRI patterns as a neurofeedback signal to increase brain activation characteristic of tenderness/affection relative to pride, an equally complex control emotion. Such improvement was not observed in a control group performing the same fMRI task without neurofeedback. Furthermore, the neurofeedback-driven enhancement of tenderness/affection-related distributed patterns was associated with local fMRI responses in the septohypothalamic area and frontopolar cortex, regions previously implicated in affiliative emotion. This demonstrates that humans can voluntarily enhance brain signatures of tenderness/affection, unlocking new possibilities for promoting prosocial emotions and countering antisocial behavior.",
      "authors": [
        "Moll, Jorge",
        "Weingartner, Julie H",
        "Bado, Patricia",
        "Basilio, Rodrigo",
        "Sato, Jo\u00e3o R",
        "Melo, Bruno R",
        "Bramati, Ivanei E",
        "de Oliveira-Souza, Ricardo",
        "Zahn, Roland"
      ],
      "categories": null,
      "citations": null,
      "comments": null,
      "databases": [
        "PubMed"
      ],
      "doi": "10.1371/journal.pone.0097343",
      "keywords": [],
      "number_of_pages": null,
      "pages": "e97343",
      "publication": {
        "category": "Journal",
        "cite_score": 6.0,
        "is_potentially_predatory": false,
        "isbn": null,
        "issn": "1932-6203",
        "publisher": "Public Library of Science",
        "sjr": 0.885,
        "snip": 1.253,
        "subject_areas": [
          "Multidisciplinary"
        ],
        "title": "PloS one"
      },
      "publication_date": "2014-05-21",
      "selected": false,
      "title": "Voluntary enhancement of neural signatures of affiliative emotion using FMRI neurofeedback.",
      "urls": []
    },
    {
      "abstract": "In recent years, there has been a significant increase in the use of electroencephalography (EEG) and magnetoencephalography (MEG) to investigate changes in oscillatory brain activity associated with tinnitus with many conflicting results. Current view of the underlying mechanism of tinnitus is that it results from changes in brain activity in various structures of the brain as a consequence of sensory deprivation. This in turn gives rise to increased spontaneous activity and/or synchrony in the auditory centers but also involves modulation from non-auditory processes from structures of the limbic and paralimbic system. Some of the neural changes associated with tinnitus may be assessed non-invasively in human beings with MEG and EEG (M/EEG) in ways, which are superior to animal studies and other non-invasive imaging techniques. However, both MEG and EEG have their limitations and research results can be misinterpreted without appropriate consideration of these limitations. In this article, I intend to provide a brief review of these techniques, describe what the recorded signals reflect in terms of the underlying neural activity, and their strengths and limitations. I also discuss some pertinent methodological issues involved in tinnitus-related studies and conclude with suggestions to minimize possible discrepancies between results. The overall message is that while MEG and EEG are extremely useful techniques, the interpretation of results from tinnitus studies requires much caution given the individual variability in oscillatory activity and the limits of these techniques. \u00c2\u00a9 2014 Adjamian.",
      "authors": [
        "Adjamian, P."
      ],
      "categories": null,
      "citations": 45,
      "comments": null,
      "databases": [
        "Scopus"
      ],
      "doi": "10.3389/fneur.2014.00228",
      "keywords": [
        "Electroencephalography",
        "Functional and effective connectivity",
        "Induced and evoked responses",
        "Magnetoencephalography",
        "Source localization",
        "Top-down processing",
        "Tinnitus"
      ],
      "number_of_pages": null,
      "pages": null,
      "publication": {
        "category": "Journal",
        "cite_score": null,
        "is_potentially_predatory": false,
        "isbn": null,
        "issn": null,
        "publisher": null,
        "sjr": null,
        "snip": null,
        "subject_areas": [],
        "title": "Frontiers in Neurology"
      },
      "publication_date": "2014-01-01",
      "selected": false,
      "title": "The application of electro- and magneto-encephalography in tinnitus research-methods and interpretations",
      "urls": [
        "https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84910659215&origin=inward"
      ]
    },
    {
      "abstract": "Autism spectrum disorders (ASD) are heterogeneous, neurodevelopmental disorders with early onset, characterized by a triad of impairments in reciprocal interaction and communication as well as repetitive and restricted interests and activities. Though underlying causes still remain largely unknown, there is now evidence for abnormal growth trajectories in the early brain development in ASD during vulnerable periods and subsequent impairment of neuronal organization and differentiation of neuronal networks. A growing number of studies over the last 10 years support the efficacy of behaviorally based interventions in ASD for the improvement of social communication and behavioral functioning. In contrast, research on neurobiologically based therapies for ASD is still at its beginnings. In this article, we will provide a selective overview of novel interventions and trainings based on neurobiological principles. Directions and options for future research on treatment aiming at restoration of normal plasticity in disrupted brain circuits in ASD are discussed. \u00c2\u00a9 2014 - IOS Press and the authors. All rights reserved.",
      "authors": [
        "Poustka, Luise",
        "Brandeis, Daniel",
        "Hohmann, Sarah",
        "Holtmann, Martin",
        "B\u00f6lte, Sven",
        "Banaschewski, Tobias"
      ],
      "categories": null,
      "citations": 3,
      "comments": null,
      "databases": [
        "Scopus",
        "PubMed"
      ],
      "doi": "10.3233/RNN-139010",
      "keywords": [
        "N intervention",
        "D016428 Journal Article",
        "N novel treatments",
        "D016454 Review",
        "N neural plasticity",
        "N neurofeedback",
        "N Autism spectrum disorder"
      ],
      "number_of_pages": 16,
      "pages": "197-212",
      "publication": {
        "category": "Journal",
        "cite_score": 5.5,
        "is_potentially_predatory": false,
        "isbn": null,
        "issn": "1878-3627",
        "publisher": "IOS Press BV",
        "sjr": 0.789,
        "snip": 0.943,
        "subject_areas": [
          "Developmental Neuroscience",
          "Neurology (clinical)",
          "Neurology"
        ],
        "title": "Restorative neurology and neuroscience"
      },
      "publication_date": "2014-01-01",
      "selected": false,
      "title": "Neurobiologically based interventions for autism spectrum disorders-rationale and new directions.",
      "urls": [
        "https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84892887621&origin=inward"
      ]
    },
    {
      "abstract": "Aberrant neural network synchrony in basal ganglia thalamocortical circuits has been implicated in the pathophysiology of Parkinson's disease. Manipulating these abnormal activation patterns may therefore offer a novel avenue for treating this disabling condition. Evidence suggests that network activity can be normalized with both dopaminergic drug treatment and deep brain stimulation (DBS), and protocols that directly target specific oscillatory patterns (\"closed-loop DBS\") are under development. Another potential avenue for the modulation of specific neural activation patterns is neurofeedback. This noninvasive technique entails providing a continuous update of one's neural activity so that volitional control of selected brain regions, networks, or rhythms can be learned. This could be accompanied by specific therapeutic changes in behavior and clinical symptomatology in disease, according to the neural circuits that are modulated. Most neurofeedback research has used electroencephalography (EEG) but recently neurovascular signals measured with functional magnetic resonance imaging (fMRI) have been targeted as well. In this paper, we discuss the evidence implicating certain rhythms, particularly the beta (10-35 Hz) oscillation, in Parkinson's disease. We also perform a systematic review evaluating the therapeutic efficacy of neurofeedback in Parkinson's disease and make suggestions for future research. \u00c2\u00a9 2014. Esmail and Linden.",
      "authors": [
        "Esmail, S.",
        "Linden, D.E.J."
      ],
      "categories": null,
      "citations": 10,
      "comments": null,
      "databases": [
        "Scopus"
      ],
      "doi": "10.15540/nr.1.3-4.240",
      "keywords": [
        "Real-time functional magnetic resonance imaging",
        "Electroencephalography",
        "Neurofeedback",
        "Parkinson's disease",
        "Deep-brain stimulation"
      ],
      "number_of_pages": 33,
      "pages": "240-272",
      "publication": {
        "category": "Journal",
        "cite_score": null,
        "is_potentially_predatory": false,
        "isbn": null,
        "issn": null,
        "publisher": null,
        "sjr": null,
        "snip": null,
        "subject_areas": [],
        "title": "NeuroRegulation"
      },
      "publication_date": "2014-01-01",
      "selected": false,
      "title": "Neural networks and neurofeedback in Parkinson's disease",
      "urls": [
        "https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84975115870&origin=inward"
      ]
    },
    {
      "abstract": "Since the first demonstration of how to simultaneously measure brain activity using functional magnetic resonance imaging (fMRI) on two subjects about 10 years ago, a new paradigm in neuroscience is emerging: measuring brain activity from two or more people simultaneously, termed \"hyperscanning\". The hyperscanning approach has the potential to reveal inter-personal brain mechanisms underlying interaction-mediated brain-to-brain coupling. These mechanisms are engaged during real social interactions, and cannot be captured using single-subject recordings. In particular, functional near-infrared imaging (fNIRI) hyperscanning is a promising new method, offering a cost-effective, easy to apply and reliable technology to measure inter-personal interactions in a natural context. In this short review we report on fNIRI hyperscanning studies published so far and summarize opportunities and challenges for future studies. \u00c2\u00a9 2013 Scholkmann, Holper, Wolf and Wolf.",
      "authors": [
        "Scholkmann, F.",
        "Holper, L.",
        "Wolf, U.",
        "Wolf, M."
      ],
      "categories": null,
      "citations": 105,
      "comments": null,
      "databases": [
        "Scopus"
      ],
      "doi": "10.3389/fnhum.2013.00813",
      "keywords": [
        "Hyperscanning",
        "Inter-personal brain activity",
        "Social neuroscience",
        "Hyperconnectivity",
        "Functional near-infrared imaging",
        "Brain-to-brain coupling"
      ],
      "number_of_pages": null,
      "pages": null,
      "publication": {
        "category": "Journal",
        "cite_score": 4.4,
        "is_potentially_predatory": false,
        "isbn": null,
        "issn": "16625161",
        "publisher": "Frontiers Media S.A.",
        "sjr": 0.787,
        "snip": 1.033,
        "subject_areas": [
          "Psychiatry and Mental Health",
          "Neurology",
          "Biological Psychiatry",
          "Neuropsychology and Physiological Psychology",
          "Behavioral Neuroscience"
        ],
        "title": "Frontiers in Human Neuroscience"
      },
      "publication_date": "2013-11-27",
      "selected": false,
      "title": "A new methodical approach in neuroscience: Assessing inter-personal brain coupling using functional near-infrared imaging (fNIRI) hyperscanning",
      "urls": [
        "https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84888406067&origin=inward"
      ]
    },
    {
      "abstract": "The present study described a new type of multi-person neurofeedback with the neural synchronization between two participants as the direct regulating target, termed as \"cross-brain neurofeedback.\" As a first step to implement this concept, an experimental platform was built on the basis of functional near-infrared spectroscopy, and was validated with a two-person neurofeedback experiment. This novel concept as well as the experimental platform established a framework for investigation of the relationship between multiple participants' cross-brain neural synchronization and their social behaviors, which could provide new insight into the neural substrate of human social interactions. \u00c2\u00a9 2013 Duan et al.",
      "authors": [
        "Duan, Lian",
        "Liu, Wei-Jie",
        "Dai, Rui-Na",
        "Li, Rui",
        "Lu, Chun-Ming",
        "Huang, Yu-Xia",
        "Zhu, Chao-Zhe"
      ],
      "categories": null,
      "citations": 38,
      "comments": null,
      "databases": [
        "Scopus",
        "PubMed"
      ],
      "doi": "10.1371/journal.pone.0064590",
      "keywords": [],
      "number_of_pages": null,
      "pages": "e64590",
      "publication": {
        "category": "Journal",
        "cite_score": 6.0,
        "is_potentially_predatory": false,
        "isbn": null,
        "issn": "1932-6203",
        "publisher": "Public Library of Science",
        "sjr": 0.885,
        "snip": 1.253,
        "subject_areas": [
          "Multidisciplinary"
        ],
        "title": "PloS one"
      },
      "publication_date": "2013-05-17",
      "selected": true,
      "title": "Cross-brain neurofeedback: scientific concept and experimental platform.",
      "urls": [
        "https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84877852605&origin=inward"
      ]
    },
    {
      "abstract": "How is the cerebellum capable of efficient motor learning and control despite very low firing of the inferior olive inputs, which are postulated to carry errors needed for learning and contribute to online motor control? Inferior olive neurons form the largest electrically coupled network in the adult human brain. Here, we discuss how intermediate coupling strengths can lead to chaotic resonance and increase information transmission of the error signal despite the very low inferior olive firing rate. This increased information transmission can then lead to more efficient learning than with weak or strong coupling. In addition, we argue that a dynamic modulation of inferior olive electrical coupling via the Purkinje cell- deep cerebellar neurons - inferior olive triangle could speed up learning and improve on-line control. Initially strong coupling would allow transmission of large errors to multiple functionally related Purkinje cells, resulting in fast but coarse learning as well as significant effects on deep cerebellar nucleus and on-line motor control. In the late phase of learning decreased coupling would allow de-synchronized IO firing, allowing high-fidelity transmission of error, resulting in slower but fine learning, and little on-line motor control effects. \u00c2\u00a9 2013 Schweighofer, Lang and Kawato.",
      "authors": [
        "Schweighofer, N.",
        "Lang, E.J.",
        "Kawato, M."
      ],
      "categories": null,
      "citations": 44,
      "comments": null,
      "databases": [
        "Scopus"
      ],
      "doi": "10.3389/fncir.2013.00094",
      "keywords": [
        "Inferior olive",
        "Purkinje cells",
        "Electrical coupling",
        "Cerebellum",
        "Complex spikes",
        "Synchrony",
        "Motor learning",
        "Gap junctions",
        "Deep cerebellar nucleus"
      ],
      "number_of_pages": null,
      "pages": null,
      "publication": {
        "category": "Journal",
        "cite_score": 4.6,
        "is_potentially_predatory": false,
        "isbn": null,
        "issn": "16625110",
        "publisher": "Frontiers Media S.A.",
        "sjr": 1.308,
        "snip": 0.998,
        "subject_areas": [
          "Cognitive Neuroscience",
          "Sensory Systems",
          "Cellular and Molecular Neuroscience",
          "Neuroscience (miscellaneous)"
        ],
        "title": "Frontiers in Neural Circuits"
      },
      "publication_date": "2013-04-30",
      "selected": false,
      "title": "Role of the olivo-cerebellar complex in motor learning and control",
      "urls": [
        "https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84877600118&origin=inward"
      ]
    },
    {
      "abstract": "Suppression of excessively synchronous beta-band oscillatory activity in the brain is believed to suppress hypokinetic motor symptoms of Parkinson's disease. Recently, a lot of interest has been devoted to desynchronizing delayed feedback deep brain stimulation (DBS). This type of synchrony control was shown to destabilize the synchronized state in networks of simple model oscillators as well as in networks of coupled model neurons. However, the dynamics of the neural activity in Parkinson's disease exhibits complex intermittent synchronous patterns, far from the idealized synchronous dynamics used to study the delayed feedback stimulation. This study explores the action of delayed feedback stimulation on partially synchronized oscillatory dynamics, similar to what one observes experimentally in parkinsonian patients. We employ a computational model of the basal ganglia networks which reproduces experimentally observed fine temporal structure of the synchronous dynamics. When the parameters of our model are such that the synchrony is unphysiologically strong, the feedback exerts a desynchronizing action. However, when the network is tuned to reproduce the highly variable temporal patterns observed experimentally, the same kind of delayed feedback may actually increase the synchrony. As network parameters are changed from the range which produces complete synchrony to those favoring less synchronous dynamics, desynchronizing delayed feedback may gradually turn into synchronizing stimulation. This suggests that delayed feedback DBS in Parkinson's disease may boost rather than suppress synchronization and is unlikely to be clinically successful. The study also indicates that delayed feedback stimulation may not necessarily exhibit a desynchronization effect when acting on a physiologically realistic partially synchronous dynamics, and provides an example of how to estimate the stimulation effect. \u00c2\u00a9 2013 Dovzhenok et al.",
      "authors": [
        "Dovzhenok, Andrey",
        "Park, Choongseok",
        "Worth, Robert M",
        "Rubchinsky, Leonid L"
      ],
      "categories": null,
      "citations": 17,
      "comments": null,
      "databases": [
        "Scopus",
        "PubMed"
      ],
      "doi": "10.1371/journal.pone.0058264",
      "keywords": [],
      "number_of_pages": null,
      "pages": "e58264",
      "publication": {
        "category": "Journal",
        "cite_score": 6.0,
        "is_potentially_predatory": false,
        "isbn": null,
        "issn": "1932-6203",
        "publisher": "Public Library of Science",
        "sjr": 0.885,
        "snip": 1.253,
        "subject_areas": [
          "Multidisciplinary"
        ],
        "title": "PloS one"
      },
      "publication_date": "2013-03-01",
      "selected": false,
      "title": "Failure of delayed feedback deep brain stimulation for intermittent pathological synchronization in Parkinson's disease.",
      "urls": [
        "https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84874573837&origin=inward"
      ]
    },
    {
      "abstract": "This article describes the role of attention training and brainwave synchrony training in the resolution of stress- and pain-related symptoms. It describes the origin of Open Focus attention training as it was distilled from observations of space-generated brain wave activity. It provides a map of the various attentional styles and associated EEG activity. \u00c2\u00a9 2013 Elsevier Inc.",
      "authors": [
        "Fehmi, Lester G",
        "Shor, Susan B"
      ],
      "categories": null,
      "citations": 6,
      "comments": null,
      "databases": [
        "Scopus",
        "PubMed"
      ],
      "doi": "10.1016/j.psc.2013.01.003",
      "keywords": [
        "Narrow focus",
        "Stress",
        "Neurofeedback",
        "Attention to attention",
        "Attention training",
        "Alpha synchrony",
        "Dissolving pain",
        "Open focus attention"
      ],
      "number_of_pages": 92,
      "pages": "153-162",
      "publication": {
        "category": "Journal",
        "cite_score": 4.8,
        "is_potentially_predatory": false,
        "isbn": null,
        "issn": "1558-3147",
        "publisher": "W.B. Saunders Ltd",
        "sjr": 0.616,
        "snip": 0.84,
        "subject_areas": [
          "Psychiatry and Mental Health"
        ],
        "title": "The Psychiatric clinics of North America"
      },
      "publication_date": "2013-03-01",
      "selected": false,
      "title": "Open focus attention training.",
      "urls": [
        "https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84875623732&origin=inward"
      ]
    },
    {
      "abstract": "Serotonin (5-HT) plays an important role in regulating mood, cognition and behaviour. The midbrain dorsal raphe nucleus (DRN) is one of the primary sources of 5-HT. Recent studies show that DRN neuronal activities can encode rewarding (e.g.,appetitive) and unrewarding (e.g.,aversive) behaviours. Experiments have also shown that DRN neurons can exhibit heterogeneous spiking behaviours. In this work, we build and study a basic spiking neuronal network model of the DRN constrained by neuronal properties observed in experiments. We use an efficient adaptive quadratic integrate-and-fire neuronal model to capture slow afterhyperpolarization current, occasional bursting behaviours in 5-HT neurons, and fast spiking activities in the non-5-HT inhibitory neurons. Provided that our noisy and heterogeneous spiking neuronal network model adopts a feedforward inhibitory network architecture, it is able to replicate the main features of DRN neuronal activities recorded in monkeys performing a reward-based memory-guided saccade task. The model exhibits theta band oscillation, especially among the non-5-HT inhibitory neurons during the rewarding outcome of a simulated trial, thus forming a model prediction. By varying the inhibitory synaptic strengths and the afferent inputs, we find that the network model can oscillate over a range of relatively low frequencies, allow co-existence of multiple stable frequencies, and spike synchrony can spread from within a local neural subgroup to global. Our model suggests plausible network architecture, provides interesting model predictions that can be experimentally tested, and offers a sufficiently realistic multi-scale model for 5-HT neuromodulation simulations. \u00c2\u00a9 2012 Elsevier Ltd.",
      "authors": [
        "Wong-Lin, K.",
        "Joshi, A.",
        "Prasad, G.",
        "McGinnity, T.M."
      ],
      "categories": null,
      "citations": 13,
      "comments": null,
      "databases": [
        "Scopus"
      ],
      "doi": "10.1016/j.neunet.2012.02.009",
      "keywords": [
        "Inhibitory fast-spiking non-serotonergic neurons",
        "Theta rhythm",
        "Serotonin neurons",
        "Reward-based memory-guided decision task",
        "Spiking neuronal network model"
      ],
      "number_of_pages": 11,
      "pages": "15-25",
      "publication": {
        "category": "Journal",
        "cite_score": 14.5,
        "is_potentially_predatory": false,
        "isbn": null,
        "issn": "08936080",
        "publisher": "Elsevier Ltd.",
        "sjr": 2.221,
        "snip": 2.729,
        "subject_areas": [
          "Cognitive Neuroscience",
          "Artificial Intelligence"
        ],
        "title": "Neural Networks"
      },
      "publication_date": "2012-08-01",
      "selected": false,
      "title": "Network properties of a computational model of the dorsal raphe nucleus",
      "urls": [
        "https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84861789950&origin=inward"
      ]
    },
    {
      "abstract": "The attention-deficit/hyperactivity disorder belongs to the most frequently diagnosed psychological (psychiatric) disorders in childhood. It is characterized by the presence of fixed behaviour patterns maintained for at least 6 months and forming a characteristic triad of symptoms, such as inattention, impulsivity and hyperactivity, increased to the extent incommensurable to the child's age and development level. Most of the guidelines on handling the ADHD suggest using non-pharmacological methods and only when these appear ineffective, considering inclusion of pharmacological treatment. On the other hand, the studies indicate that most effective in ADHD treatment is the pharmacological treatment. It is worth emphasizing, however, that none of the presently available treatment methods solves all problems of the child's functioning, therefore there is a constant demand for searching new ways of help for the ADHD-affected children. One of the investigated methods is neurobiofeedback (NF). In this method, teaching the patient to influence the brain activity through instructing her/him on how to change the type of waves in the EEG - is to improve her/his functioning. In the problem described in the article an improvement in the EEG (achieved during exercise) is to reduce the ADHD symptoms. But a survey of the existing research does not give an explicit answer whether or not this method is effective in ADHD treatment to the extent which could improve the patient's functioning in real life. It is worth noting that as for now none of the guidelines has pointed to neurobiofeedback as a method recommended in the treatment of ADHD. Concluding, up to date we have not had any evidence that NF may constitute an independent or leading therapy in ADHD; we need further studies to specify whether or not this is a method which could be a part of a comprehensive therapeutic program of the child with ADHD. Presently, it is treated rather as an additional, alternative method which supplements the basic treatment.",
      "authors": [
        "Ko\u00c5\u0082akowski, A."
      ],
      "categories": null,
      "citations": 2,
      "comments": null,
      "databases": [
        "Scopus"
      ],
      "doi": null,
      "keywords": [
        "Guidelines",
        "Multimodal treatment",
        "Neurobiofeedback",
        "ADHD",
        "EEG-biofeedback"
      ],
      "number_of_pages": 12,
      "pages": "40-51",
      "publication": {
        "category": "Journal",
        "cite_score": 0.6,
        "is_potentially_predatory": false,
        "isbn": null,
        "issn": "16446313",
        "publisher": "Medical Communications",
        "sjr": 0.159,
        "snip": 0.177,
        "subject_areas": [
          "Psychiatry and Mental Health",
          "Clinical Psychology"
        ],
        "title": "Psychiatria i Psychologia Kliniczna"
      },
      "publication_date": "2012-07-16",
      "selected": false,
      "title": "Neurofeedback and multimodal treatment of ADHD",
      "urls": [
        "https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84863660039&origin=inward"
      ]
    },
    {
      "abstract": "Frontal oscillatory dynamics in the theta (4-8 Hz) and beta (20-30 Hz) frequency bands have been implicated in cognitive control processes. Here we investigated the changes in coordinated activity within and between frontal brain areas during feedback-based response learning. In a time estimation task, participants learned to press a button after specific, randomly selected time intervals (300-2000 msec) using the feedback after each button press (correct, too fast, too slow). Consistent with previous findings, theta-band activity over medial frontal scalp sites (presumably reflecting medial frontal cortex activity) was stronger after negative feedback, whereas beta-band activity was stronger after positive feedback. Theta-band power predicted learning only after negative feedback, and beta-band power predicted learning after positive and negative feedback. Furthermore, negative feedback increased theta-band intersite phase synchrony (a millisecond resolution measure of functional connectivity) among right lateral prefrontal, medial frontal, and sensorimotor sites. These results demonstrate the importance of frontal theta- and beta-band oscillations and intersite communication in the realization of reinforcement learning. \u00c2\u00a9 2011 Massachusetts Institute of Technology.",
      "authors": [
        "van de Vijver, Irene",
        "Ridderinkhof, K Richard",
        "Cohen, Michael X"
      ],
      "categories": null,
      "citations": 128,
      "comments": null,
      "databases": [
        "Scopus",
        "PubMed"
      ],
      "doi": "10.1162/jocn_a_00110",
      "keywords": [],
      "number_of_pages": 4086,
      "pages": "4106-4121",
      "publication": {
        "category": "Journal",
        "cite_score": 4.5,
        "is_potentially_predatory": false,
        "isbn": null,
        "issn": "1530-8898",
        "publisher": "MIT Press Journals",
        "sjr": 1.311,
        "snip": 0.953,
        "subject_areas": [
          "Cognitive Neuroscience"
        ],
        "title": "Journal of cognitive neuroscience"
      },
      "publication_date": "2011-08-03",
      "selected": false,
      "title": "Frontal oscillatory dynamics predict feedback learning and action adjustment.",
      "urls": [
        "https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=80055116609&origin=inward"
      ]
    },
    {
      "abstract": "There are numerous scholarly documents with accurate and thorough explanations of the basis of the mathematical processes that have become essential to the field of psychophysiology. Review of many of these has revealed a pervasive emphasis on the technical and theoretical aspects of these formulae and theories with little or no emphasis on the primary and basic understanding of their development and application. This article specifically bridges the gap between the introduction of several cogent mathematical concepts and their ultimate applications within the field of applied psychophysiology, biofeedback, and neurofeedback. Special attention is given to the distinction between transforms and calculations and some of the statistical methods used to analyze them. Because the focus of this article is to enhance conceptual comprehension, integral, differential, and matrix mathematics are not referenced in any of the examples or explanations with the primary reliance on some algebra with verbal and pictorial descriptions of the processes. We suggest a comparison to an overuse of the black box model in which only the input and output are essential. Taking these processes out of the black box encourages the creative application of these mathematical principles as valuable tools for clinicians and researchers. Structured explanations emphasize the relevance of such important concepts as aliasing, autospectrum, coherence, common mode rejection, comodulation, cross spectral density, distribution, Fast Fourier Transform, phase synchrony, significance, standard deviation, statistical error, transform, t test, variance, and Z scores. The objective for providing these clarifications is to enhance the utility of these concepts. \u00c2\u00a9 Taylor & Francis Group, LLC.",
      "authors": [
        "Green, G.H.",
        "LeMay, J.C."
      ],
      "categories": null,
      "citations": 0,
      "comments": null,
      "databases": [
        "Scopus"
      ],
      "doi": "10.1080/10874208.2011.597255",
      "keywords": [],
      "number_of_pages": 18,
      "pages": "214-231",
      "publication": {
        "category": "Journal",
        "cite_score": null,
        "is_potentially_predatory": false,
        "isbn": null,
        "issn": "10874208",
        "publisher": "Routledge",
        "sjr": 0.13,
        "snip": 0.265,
        "subject_areas": [
          "Clinical Psychology",
          "Neuropsychology and Physiological Psychology"
        ],
        "title": "Journal of Neurotherapy"
      },
      "publication_date": "2011-07-01",
      "selected": false,
      "title": "Transforms and calculations: Behind the mathematics of psychophysiology",
      "urls": [
        "https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=80052225240&origin=inward"
      ]
    },
    {
      "abstract": "Mechanical ventilation has, since its introduction into clinical practice, undergone a major evolution from controlled ventilation to various modes of assisted ventilation. Neurally adjusted ventilatory assist (NAVA) is the newest development. The implementation of NAVA requires the introduction of a catheter to measure the electrical activity of the diaphragm (EAdi). NAVA relies, opposite to conventional assisted ventilation modes, on the EAdi to trigger the ventilator breath and to adjust the ventilatory assist to the neural drive. The amplitude of the ventilator assist is determined by the instantaneous EAdi and the NAVA level set by the clinician. The NAVA level amplifies the EAdi signal and determines instantaneous ventilator assist on a breath-to-breath basis. Experimental and clinical data suggest superior patient-ventilator synchrony with NAVA. Patient-ventilator asynchrony is present in 25% of mechanically ventilated patients in the intensive care unit and may contribute to patient discomfort, sleep fragmentation, higher use of sedation, development of delirium, ventilator-induced lung injury, prolonged mechanical ventilation, and ultimately mortality. With NAVA, the reliance on the EAdi signal, together with an intact ventilatory drive and intact breathing reflexes, allows integration of the ventilator in the neuro-ventilatory coupling on a higher level than conventional ventilation modes. The simple monitoring of the EAdi signal alone may provide the clinician with important information to guide ventilator management, especially during the weaning process. Although, until now, little evidence proves the superiority of NAVA on clinically relevant end points, it seems evident that patient populations (eg, COPD and small children) with major patient-ventilator asynchrony may benefit from this new ventilatory tool. \u00c2\u00a9 2011 Daedalus Enterprises.",
      "authors": [
        "Verbrugghe, W.",
        "Jorens, P.G."
      ],
      "categories": null,
      "citations": 52,
      "comments": null,
      "databases": [
        "Scopus"
      ],
      "doi": "10.4187/respcare.00775",
      "keywords": [
        "Diaphragm",
        "Patientventilator interaction",
        "Mechanical ventilation",
        "Synchrony",
        "Nava",
        "Neurally adjusted ventilatory assist"
      ],
      "number_of_pages": 9,
      "pages": "327-335",
      "publication": {
        "category": "Journal",
        "cite_score": 4.1,
        "is_potentially_predatory": false,
        "isbn": null,
        "issn": "00201324",
        "publisher": "Daedalus Enterprises Inc.",
        "sjr": 0.656,
        "snip": 0.977,
        "subject_areas": [
          "Pulmonary and Respiratory Medicine",
          "Critical Care and Intensive Care Medicine"
        ],
        "title": "Respiratory Care"
      },
      "publication_date": "2011-03-01",
      "selected": false,
      "title": "Neurally adjusted ventilatory assist: A ventilation tool or a ventilation toy?",
      "urls": [
        "https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=79953129572&origin=inward"
      ]
    },
    {
      "abstract": "Phase response curves (PRCs) have been widely used to study synchronization in neural circuits comprised of pacemaking neurons. They describe how the timing of the next spike in a given spontaneously firing neuron is affected by the phase at which an input from another neuron is received. Here we study two reciprocally coupled clusters of pulse coupled oscillatory neurons. The neurons within each cluster are presumed to be identical and identically pulse coupled, but not necessarily identical to those in the other cluster. We investigate a two cluster solution in which all oscillators are synchronized within each cluster, but in which the two clusters are phase locked at nonzero phase with each other. Intuitively, one might expect this solution to be stable only when synchrony within each isolated cluster is stable, but this is not the case. We prove rigorously the stability of the two cluster solution and show how reciprocal coupling can stabilize synchrony within clusters that cannot synchronize in isolation. These stability results for the two cluster solution suggest a mechanism by which reciprocal coupling between brain regions can induce local synchronization via the network feedback loop. \u00c2\u00a9 2010 US Government.",
      "authors": [
        "Chandrasekaran, L.",
        "Achuthan, S.",
        "Canavier, C.C."
      ],
      "categories": null,
      "citations": 16,
      "comments": null,
      "databases": [
        "Scopus"
      ],
      "doi": "10.1007/s10827-010-0268-x",
      "keywords": [
        "Phase response curves",
        "Neuronal networks",
        "Clustering",
        "Synchronization",
        "Pulse coupled oscillators"
      ],
      "number_of_pages": 19,
      "pages": "427-445",
      "publication": {
        "category": "Journal",
        "cite_score": 2.3,
        "is_potentially_predatory": false,
        "isbn": null,
        "issn": "09295313",
        "publisher": "Springer Netherlands",
        "sjr": 0.38,
        "snip": 0.696,
        "subject_areas": [
          "Cognitive Neuroscience",
          "Sensory Systems",
          "Cellular and Molecular Neuroscience"
        ],
        "title": "Journal of Computational Neuroscience"
      },
      "publication_date": "2011-01-01",
      "selected": false,
      "title": "Stability of two cluster solutions in pulse coupled networks of neural oscillators",
      "urls": [
        "https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=79953298154&origin=inward"
      ]
    },
    {
      "abstract": "Deep brain stimulation is an increasingly prevalent surgical option in the treatment of a multitude of neurological conditions, most notably Parkinson's disease. The development of a neurofeedback device is driven primarily by stimulator habituation, surgical risk factors, the cost of battery replacement, and reported neuropsychiatric side-effects under prolonged chronic administration. Here we present two distinct regimes for stimulation delivery in chronic and acute symptomatic conditions, presented in the context of Parkinsonian bradykinesias and tremor. Implementation strategies are discussed with a focus on vector-autoregressive hidden Markov models for tremor prediction. Detection of simple motor actions versus tremor are compared in a preliminary performance analysis.",
      "authors": [
        "Brittain, John-Stuart",
        "Probert-Smith, Penny",
        "Aziz, Tipu Z"
      ],
      "categories": null,
      "citations": null,
      "comments": null,
      "databases": [
        "PubMed"
      ],
      "doi": "10.1109/IEMBS.2010.5627242",
      "keywords": [],
      "number_of_pages": 98,
      "pages": "158-61",
      "publication": {
        "category": "Journal",
        "cite_score": null,
        "is_potentially_predatory": false,
        "isbn": null,
        "issn": "2375-7477",
        "publisher": null,
        "sjr": null,
        "snip": null,
        "subject_areas": [],
        "title": "Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference"
      },
      "publication_date": "2010-01-01",
      "selected": false,
      "title": "Demand driven deep brain stimulation: regimes and autoregressive hidden Markov implementation.",
      "urls": []
    },
    {
      "abstract": "Introduction. Changes in quantitative EEG during and in response to neurofeedback (NF) training was explored in patients with traumatic brain injury (TBI). Data from 19 adults with a TBI of moderate mechanical nature, non-drug-related, and without severe posttraumatic stress disorder or seizure disorder were analyzed (14 male and 5 female). Methods. EEG was evaluated before, during, and after ROSHI NF training. Data were collected as duplicate samples of 6 min each during eyes open and eyes closed conditions, but only the eyes closed condition was analyzed. Results. Significant changes in connectivity occurred during and in response to NF training. Conclusion. Results showed significant changes in real-time QEEG connectivity. An evaluation of a larger subject population will clarify gender differences in connectivity responses to NF training.",
      "authors": [
        "Ibric, V.L.",
        "Dragomirescu, L.G.",
        "Hudspeth, W.J."
      ],
      "categories": null,
      "citations": 8,
      "comments": null,
      "databases": [
        "Scopus"
      ],
      "doi": "10.1080/10874200903118378",
      "keywords": [
        "Traumatic brain injury (TBI)",
        "Neurofeedback training",
        "Synchrony",
        "NeuroRep",
        "Acquired brain injury",
        "Connectivity",
        "Coherence",
        "Brain injury",
        "QEEG"
      ],
      "number_of_pages": 10,
      "pages": "156-165",
      "publication": {
        "category": "Journal",
        "cite_score": null,
        "is_potentially_predatory": false,
        "isbn": null,
        "issn": "10874208",
        "publisher": "Routledge",
        "sjr": 0.13,
        "snip": 0.265,
        "subject_areas": [
          "Clinical Psychology",
          "Neuropsychology and Physiological Psychology"
        ],
        "title": "Journal of Neurotherapy"
      },
      "publication_date": "2009-11-12",
      "selected": false,
      "title": "Real-time changes in connectivities during neurofeedback",
      "urls": [
        "https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=70449112567&origin=inward"
      ]
    },
    {
      "abstract": "Background. The electroencephalogram provides a myriad of opportunities to detect and assess brain function and brain connectivity. Method. This article describes the relationship between local and non-local brain activation and synchrony, and discusses the use of appropriate connectivity measures to study and train functional brain connectivity. Specific connectivity measures are described including coherence, phase, synchrony,correlation,and comodulation. The measures are contrastedand comparedinterms of their ability to detect particular aspects of connectivity and their usefulness for neurofeedback training. Results. Connectivity metrics for example EEG data are calculated and shown graphically, to illustrate relevant principles. Conclusion. It is possible to assess brain connectivity and integrated function for both assessment and training, through the use of appropriate metrics and display methods. \u00c2\u00a9 2008 by The Haworth Press.",
      "authors": [
        "Collura, T.F."
      ],
      "categories": null,
      "citations": 16,
      "comments": null,
      "databases": [
        "Scopus"
      ],
      "doi": "10.1080/10874200802433274",
      "keywords": [
        "Brain connectivity",
        "EEG",
        "Quantitative electroencephalography",
        "Phase QEEG",
        "Synchrony",
        "Coherence",
        "Spectral correlation"
      ],
      "number_of_pages": 12,
      "pages": "99-110",
      "publication": {
        "category": "Journal",
        "cite_score": null,
        "is_potentially_predatory": false,
        "isbn": null,
        "issn": "10874208",
        "publisher": "Routledge",
        "sjr": 0.13,
        "snip": 0.265,
        "subject_areas": [
          "Clinical Psychology",
          "Neuropsychology and Physiological Psychology"
        ],
        "title": "Journal of Neurotherapy"
      },
      "publication_date": "2008-12-01",
      "selected": false,
      "title": "Towards a coherent view of brain connectivity",
      "urls": [
        "https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=61349107540&origin=inward"
      ]
    },
    {
      "abstract": "This study examines the efficacy of neurofeedback training in the cognitive division of the anterior cingulate gyrus and describes its relationship with cortical regions known to be involved in executive functions. This study was conducted with eight non-clinical students, four male and four female, with a mean age of twenty-two. Learning occurred in the ACcd at significant levels over sessions and in the anterior regions that receive projections from the AC. There appears to be a multidimensional executive circuit that increases in the same frequency in apparent synchrony with the AC and it may be possible to train this sub-cortical region using LNFB. Copyright \u00c2\u00a9 2007 Informa Healthcare.",
      "authors": [
        "Cannon, Rex",
        "Lubar, Joel",
        "Congedo, Marco",
        "Thornton, Keri",
        "Towler, Kerry",
        "Hutchens, Teresa"
      ],
      "categories": null,
      "citations": 62,
      "comments": null,
      "databases": [
        "Scopus",
        "PubMed"
      ],
      "doi": "10.1080/00207450500514003",
      "keywords": [
        "Attention",
        "Electroencephalography",
        "Cognition",
        "Anterior cingulate gyrus",
        "Neurofeedback",
        "LORETA",
        "Executive function"
      ],
      "number_of_pages": 281,
      "pages": "337-357",
      "publication": {
        "category": "Journal",
        "cite_score": 4.6,
        "is_potentially_predatory": false,
        "isbn": null,
        "issn": "0020-7454",
        "publisher": "Informa Healthcare",
        "sjr": 0.542,
        "snip": 0.771,
        "subject_areas": [
          "Neuroscience (all)"
        ],
        "title": "The International journal of neuroscience"
      },
      "publication_date": "2007-03-01",
      "selected": false,
      "title": "The effects of neurofeedback training in the cognitive division of the anterior cingulate gyrus.",
      "urls": [
        "https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=33846984272&origin=inward"
      ]
    },
    {
      "abstract": "One year after a left posterior and thalamic stroke, a 52-year-old male participant was treated with 14 weeks of theta reduction neurofeedback training. Imaging studies revealed left temporal, parietal, occipital, and bilateral thalamic infarctions along the distribution of the posterior cerebral artery. Neuropsychological testing demonstrated severe verbal memory, naming, visual tracking, and fine motor deficits. Additionally, alexia without agraphia was present. A pretraining quantitative electroencephalograph (QEEG) found alpha attenuation, lack of alpha reactivity to eye opening, and excessive theta activity from the left posterior head region. Neurofeedback training to inhibit 4-8 Hz theta activity was conducted for 42 sessions from left hemisphere sites. Over the course of the training, significant reductions in theta amplitude occurred from the training sites as assessed from the post-session baseline periods. Posttraining, a relative normalization of the QEEG was observed from the left posterior head region.",
      "authors": [
        "Bearden, Thomas S",
        "Cassisi, Jeffrey E",
        "Pineda, Mario"
      ],
      "categories": null,
      "citations": null,
      "comments": null,
      "databases": [
        "PubMed"
      ],
      "doi": "10.1023/a:1024689315563",
      "keywords": [],
      "number_of_pages": 189,
      "pages": "241-53",
      "publication": {
        "category": "Journal",
        "cite_score": 5.2,
        "is_potentially_predatory": false,
        "isbn": null,
        "issn": "1090-0586",
        "publisher": "Springer New York",
        "sjr": 0.534,
        "snip": 1.182,
        "subject_areas": [
          "Applied Psychology",
          "Neuropsychology and Physiological Psychology"
        ],
        "title": "Applied psychophysiology and biofeedback"
      },
      "publication_date": "2003-09-01",
      "selected": false,
      "title": "Neurofeedback training for a patient with thalamic and cortical infarctions.",
      "urls": []
    },
    {
      "abstract": "Background. Previous research on information processing by the primate brain prompted further investigation of phase synchronized alpha brain wave activity at five loci in humans. The results of this investigation indicated that a particular form of attention was associated with production of whole brain synchrony. Method. Patients were treated with a dual approach, a systematic program of attention training coupled with the regular practice of multi channel alpha phase synchrony training. One hundred thirty-two clinical patients were treated for a variety of stress related symptom categories by six therapists in different locations. Patients were rated for symptom intensity, frequency and duration. Results. It was found that learning to develop this particular form of attention, coupled with the regular practice of multi-channel alpha phase synchrony were effective in resolving many common stress related disorders. Analysis of 132 cases using this dual approach found that more than 90 percent of the patients reported an alleviation of symptoms. These positive results were found with stress-induced headache, joint pain, and gastrointestinal disease. Conclusion. The authors propose that there exists a common mechanism operating in these widely different successful applications; to wit, attentional flexibility, which is achieved through systematic practice of audio taped attention exercises and neurofeedback phase synchrony training. Patients who participated in this program generally reported experiencing a release from their symptoms and from emotional conditioned responses in favor of more flexibility and more stable homeostasis. The significance of this \u00e2\u0080\u009crelease experience\u00e2\u0080\u009d is discussed and attention-neurofeedback training is compared to other interventions, which rely exclusively on peripheral modalities of biofeedback training. \u00c2\u00a9 2001, Taylor & Francis Group, LLC.",
      "authors": [
        "McKnight, J.T.",
        "Fehmi, L.G."
      ],
      "categories": null,
      "citations": 11,
      "comments": null,
      "databases": [
        "Scopus"
      ],
      "doi": "10.1300/J184v05n01_05",
      "keywords": [
        "Headaches",
        "Attention",
        "Biofeedback",
        "Neurofeedback",
        "Eeg phase synchrony",
        "Hypertension",
        "Dissolving pain",
        "Irritable bowel syndrome"
      ],
      "number_of_pages": 17,
      "pages": "45-61",
      "publication": {
        "category": "Journal",
        "cite_score": null,
        "is_potentially_predatory": false,
        "isbn": null,
        "issn": "10874208",
        "publisher": "Routledge",
        "sjr": 0.13,
        "snip": 0.265,
        "subject_areas": [
          "Clinical Psychology",
          "Neuropsychology and Physiological Psychology"
        ],
        "title": "Journal of Neurotherapy"
      },
      "publication_date": "2001-01-01",
      "selected": false,
      "title": "Attention and neurofeedback synchrony training: Clinical results and their significance",
      "urls": [
        "https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85071219267&origin=inward"
      ]
    }
  ],
  "processed_at": "2024-01-08 05:34:20",
  "publication_types": null,
  "query": "([neurofeedback] AND [synchrony]) OR ([neurofeedback] AND [interbrain]) OR ([neurofeedback] AND [hyperscanning]) OR ([neurofeedback] AND [interpersonal synchrony]) OR ([neurofeedback] AND [interpersonal neural synchrony]) OR ([neurofeedback] AND [brain-to-brain]) OR ([neurofeedback] AND [cross-brain]) OR ([neurofeedback] AND [dyad]) OR ([neurofeedback] AND [two-person]) OR ([neurofeedback] AND [triad]) OR ([neurofeedback] AND [three-person])",
  "since": "2000-01-01",
  "until": "2023-12-31"
}