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@@ -7,6 +7,11 @@ We provide a neuromagnetic datasets recorded using a whole-head magenetoencephal
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Environmental and power line noise as well as signal contributions due to eye movements or cardiac activity was removed from the data. The dynamics of predefined region of interests (ROI)are extracted on which Granger causality was applied to investigate the interconnections between the active brain regions, as well as their directionality.
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The dataset can be exploited to address crucial issues in neurophysiology such as: 1) What are the underlying neural mechanisms of the fronto-parietal attention network (FPAN). 2) What are the principles of neural interactions and 3) What are the temporal characteristics and directional interconnections. It has been reported that the network is influenced by ageing and appears to be associated with mental illnesses such as schizophrenia and attention-deficit hyperactivity disorder.
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+## Abstract
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+The suppression of distracting information in order to focus on an actual cognitive goal is a key feature of executive functions. The use of brain imaging methods to investigate the underlying neurobiological brain activations that occur during conflict processing have demonstrated the strong involvement of the fronto-parietal attention network (FPAN). Surprisingly, the directional interconnections, their time courses and activations at different frequency bands remain to be elucidated, and thus, this constitutes the focus of this study. We employed an adaptation of the Simon task during Magneto¬encephalography (MEG). Granger causality was applied to investigate the interconnections between the active brain regions, as well as their directionality. Following stimulus onset, the middle frontal precentral cortex and superior parietal cortex were significantly activated during conflict processing in a time window of between 300 and 600ms. Moreover, the anterior cingulate cortex and the anterior insula represented key areas for conflict monitoring, either by receiving input from other areas of the FPAN or by generating input themselves. As it has been reported that the FPAN is influenced by ageing, and seems to be associated with mental illnesses such as schizophrenia and attention-deficit-hyperactivity disorder, it is anticipated that our results will have an impact on future research on distortions of the FPAN.
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## Downloading the data
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### Using gin
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@@ -41,9 +46,21 @@ See [here](https://web.gin.g-node.org/G-Node/Info/wiki/gin-cli+tutorial) for det
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## Repository structure
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+In the directory data you will find three subdirectories to access different types of data. All data consists of neuromagnetic signals from 13 different subjects.
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+### Directory Data
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+#### data_meg
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+In this directory, we provide the cleaned MEG (from 4D Neuroimaging, MAGNES 3600WH) unfiltered raw data from 13 different subjects in anonymized fif format.
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+#### data_evoked
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+In this directiory we provide the averaged source time courses of 14 regions of interest (see paper) for all 13 subjects.
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+#### data_causality
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+In this directory the unfiltered dynamics of the ROI source time courses are provided on which Granger causality was applied to investigate the interconnections between the active brain regions, as well as their directionality.
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-### Directory dataset_stc
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-The dynamics of predefined region of interests (ROI)are extracted on which Granger causality was applied to investigate the interconnections between the active brain regions, as well as their directionality. In the sub-directory func, the functional ROI labels are stored.
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## Licensing
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<a rel="license" href="http://creativecommons.org/licenses/by/4.0/"><img alt="Creative Commons License" style="border-width:0" src="https://i.creativecommons.org/l/by/4.0/88x31.png" /></a><br /><span xmlns:dct="http://purl.org/dc/terms/" property="dct:title"> Conflict processing networks: a directional analysis of stimulus-response compatibilities using MEG </span> in the directories `stc` and `evoked` by <span xmlns:cc="http://creativecommons.org/ns#" property="cc:attributionName">Institute of Neuroscience and Medicine (INM-4), Forschungszentrum Jülich, Jülich, Germany</span> is licensed under a <a rel="license" href="http://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution 4.0 International License</a>.
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