# Required fields # The main researchers involved working on the resource, # or the authors of the publication in priority order. # May be a corporate/institutional or personal name. # Include digital identifier (e.g., ORCID) if possible authors: - firstname: "Ece" lastname: "Boran" affiliation: "Klinik für Neurochirurgie, UniversitätsSpital und Universität Zürich, 8091 Zürich, Switzerland" id: "orcid.org/0000-0002-0395-7575" - firstname: "Johannes" lastname: "Sarnthein" affiliation: "Klinik für Neurochirurgie, UniversitätsSpital und Universität Zürich, 8091 Zürich, Switzerland" id: "orcid.org/0000-0001-9141-381X" - firstname: "Niklaus" lastname: "Krayenbühl" affiliation: "Klinik für Neurochirurgie, UniversitätsSpital und Universität Zürich, 8091 Zürich, Switzerland" - firstname: "Georgia" lastname: "Ramantani" affiliation: "Neuropädiatrie, Universitäts-Kinderspital Zürich, 8032 Zürich, Switzerland" id: "orcid.org/0000-0002-7931-2327" - firstname: "Tommaso" lastname: "Fedele" affiliation: "Institute for Cognitive Neuroscience, National Research University Higher School of Economics, 101000 Moscow, Russian Federation" id: "orcid.org/0000-0001-7574-8062" # A name or title to describe the published resource. title: "High-frequency oscillations in scalp EEG mirror seizure frequency in pediatric focal epilepsy" # Any additional information. It is best practice to supply a description for the resource. description: | We present an electrophysiological dataset recorded from eleven subjects. EEG recordings are done before and after epilepsy surgery. For ECoG recordings, we used standard electrodes with 10 mm inter-contact spacing (standard ECoG) in 14 surgeries and high-density grid electrodes with 5 mm spacing (hd-ECoG) in 8 surgeries. We recorded ECoG pre- and post-resection. We detected fast ripples (FR) using a previously validated automatic detector and did visual validation. For each recording, we provided the recorded data and FR markings. We also provide the approximate locations of recordings and resected area. # List of keywords the resource should be associated with. keywords: - Epilepsy - Electroencephalography (EEG) - High frequency oscillations (HFO) - Epilepsy surgery - Therapy monitoring - Antiepileptic drugs (AED) - Intraoperative recording - Electrocorticography (ECoG) - Ripple - Fast ripple (FR) - Resection area - Seizure outcome - Automatic HFO detection - Electrophysiology - High-density ECoG - Standard ECoG - Spatial sampling - Grid - Strip - Subdural - Human - Neuroscience # Any rights information for this resource. Please provide both a license name and a link to the license. # Please add also a LICENSE file to the repository license: name: "Creative Commons Attribution-ShareAlike 4.0 International Public License" url: "https://creativecommons.org/licenses/by-sa/4.0/" ## Optional Fields # Any funding reference for this resource. Separate funder name and grant number by comma funding: - "Swiss National Science Foundation, SNSF 320030_176222" - "Mach-Gaensslen Stiftung" - "Stiftung für wissenschaftliche Forschung an der Universität Zürich" - "Forschungskredit der Universität Zürich" # Related publications. reftype might be: IsCitedBy, IsSupplementTo, IsReferencedBy, IsPartOf # for further valid types see https://schema.datacite.org/meta/kernel-4 # Please provide digital identifier (e.g., DOI) if possible. references: - doi: "10.1016/j.clinph.2019.07.008" reftype: "IsSupplementTo" name: "High-frequency oscillations in scalp EEG mirror seizure frequency in pediatric focal epilepsy." - doi: "10.1016/j.clinph.2019.07.008" reftype: "IsSupplementTo" name: "High-density ECoG improves the detection of high frequency oscillations that predict seizure outcome." - doi: "10.1038/s41598-017-13064-1" reftype: "Cites" name: "Resection of high frequency oscillations predicts seizure outcome in the individual patient." - doi: "10.1016/j.clinph.2017.03.038" reftype: "Cites" name: "Prediction of seizure outcome improved by fast ripples detected in low-noise intraoperative corticogram." - doi: "10.1016/j.clinph.2016.06.009" reftype: "Cites" name: "Automatic detection of high frequency oscillations during epilepsy surgery predicts seizure outcome."