Open multi-center intracranial electroencephalography dataset with task probing conscious visual perception
Abstract We introduce an intracranial EEG (iEEG) dataset collected as part of an adversarial collaboration between proponents of two theories of consciousness: Global Neuronal Workspace Theory and Integrated Information Theory. The data were recorded from 38 patients undergoing intracranial monitori...
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Nature Portfolio
2025-05-01
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| Series: | Scientific Data |
| Online Access: | https://doi.org/10.1038/s41597-025-04833-z |
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| author | Alia Seedat Alex Lepauvre Jay Jeschke Urszula Gorska-Klimowska Marcelo Armendariz Katarina Bendtz Simon Henin Rony Hirschhorn Tanya Brown Erika Jensen Csaba Kozma David Mazumder Stephanie Montenegro Leyao Yu Niccolò Bonacchi Diptyajit Das Kyle Kahraman Praveen Sripad Fatemeh Taheriyan Orrin Devinsky Patricia Dugan Werner Doyle Adeen Flinker Daniel Friedman Wendell Lake Michael Pitts Liad Mudrik Melanie Boly Sasha Devore Gabriel Kreiman Lucia Melloni |
| author_facet | Alia Seedat Alex Lepauvre Jay Jeschke Urszula Gorska-Klimowska Marcelo Armendariz Katarina Bendtz Simon Henin Rony Hirschhorn Tanya Brown Erika Jensen Csaba Kozma David Mazumder Stephanie Montenegro Leyao Yu Niccolò Bonacchi Diptyajit Das Kyle Kahraman Praveen Sripad Fatemeh Taheriyan Orrin Devinsky Patricia Dugan Werner Doyle Adeen Flinker Daniel Friedman Wendell Lake Michael Pitts Liad Mudrik Melanie Boly Sasha Devore Gabriel Kreiman Lucia Melloni |
| author_sort | Alia Seedat |
| collection | DOAJ |
| description | Abstract We introduce an intracranial EEG (iEEG) dataset collected as part of an adversarial collaboration between proponents of two theories of consciousness: Global Neuronal Workspace Theory and Integrated Information Theory. The data were recorded from 38 patients undergoing intracranial monitoring of epileptic seizures across three research centers using the same experimental protocol. Participants were presented with suprathreshold visual stimuli belonging to four different categories (faces, objects, letters, false fonts) in three orientations (front, left, right view), and for three durations (0.5, 1.0, 1.5 s). Participants engaged in a non-speeded Go/No-Go target detection task to identify infrequent targets with some stimuli becoming task-relevant and others task-irrelevant. Participants also engaged in a motor localizer task. The data were checked for its quality and converted to Brain Imaging Data Structure (BIDS). The de-identified dataset contains demographics, clinical information, electrode reconstruction, behavioral performance, and eye-tracking data. We also provide code to preprocess and analyze the data. This dataset holds promise for reuse in consciousness science and vision neuroscience to answer questions related to stimulus processing, target detection, and task-relevance, among many others. |
| format | Article |
| id | doaj-art-be28af06f0284fdaa8d1dabb3e4e0e28 |
| institution | OA Journals |
| issn | 2052-4463 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Data |
| spelling | doaj-art-be28af06f0284fdaa8d1dabb3e4e0e282025-08-20T02:29:45ZengNature PortfolioScientific Data2052-44632025-05-0112111410.1038/s41597-025-04833-zOpen multi-center intracranial electroencephalography dataset with task probing conscious visual perceptionAlia Seedat0Alex Lepauvre1Jay Jeschke2Urszula Gorska-Klimowska3Marcelo Armendariz4Katarina Bendtz5Simon Henin6Rony Hirschhorn7Tanya Brown8Erika Jensen9Csaba Kozma10David Mazumder11Stephanie Montenegro12Leyao Yu13Niccolò Bonacchi14Diptyajit Das15Kyle Kahraman16Praveen Sripad17Fatemeh Taheriyan18Orrin Devinsky19Patricia Dugan20Werner Doyle21Adeen Flinker22Daniel Friedman23Wendell Lake24Michael Pitts25Liad Mudrik26Melanie Boly27Sasha Devore28Gabriel Kreiman29Lucia Melloni30Department of Neurology, New York University Grossman School of MedicineNeural Circuits, Consciousness and Cognition Research Group, Max Planck Institute for Empirical AestheticsDepartment of Neurology, New York University Grossman School of MedicineDepartment of Psychiatry, University of Wisconsin-MadisonBoston Children’s Hospital, Harvard Medical SchoolBoston Children’s Hospital, Harvard Medical SchoolDepartment of Neurology, New York University Grossman School of MedicineSagol School of Neuroscience, Tel Aviv UniversityNeural Circuits, Consciousness and Cognition Research Group, Max Planck Institute for Empirical AestheticsDepartment of Neurology, New York University Grossman School of MedicineDepartment of Psychiatry, University of Wisconsin-MadisonHarvard Medical SchoolDepartment of Neurology, New York University Grossman School of MedicineDepartment of Biomedical Engineering, New York University School of EngineeringChampalimaud ResearchNeural Circuits, Consciousness and Cognition Research Group, Max Planck Institute for Empirical AestheticsNeural Circuits, Consciousness and Cognition Research Group, Max Planck Institute for Empirical AestheticsNeural Circuits, Consciousness and Cognition Research Group, Max Planck Institute for Empirical AestheticsNeural Circuits, Consciousness and Cognition Research Group, Max Planck Institute for Empirical AestheticsDepartment of Neurology, New York University Grossman School of MedicineDepartment of Neurology, New York University Grossman School of MedicineDepartment of Neurosurgery, NYU Langone HealthDepartment of Neurology, New York University Grossman School of MedicineDepartment of Neurology, New York University Grossman School of MedicineDepartment of Neurology, University of Wisconsin-MadisonPsychology Department, Reed CollegeSagol School of Neuroscience, Tel Aviv UniversityDepartment of Psychiatry, University of Wisconsin-MadisonDepartment of Neurology, New York University Grossman School of MedicineBoston Children’s Hospital, Harvard Medical SchoolDepartment of Neurology, New York University Grossman School of MedicineAbstract We introduce an intracranial EEG (iEEG) dataset collected as part of an adversarial collaboration between proponents of two theories of consciousness: Global Neuronal Workspace Theory and Integrated Information Theory. The data were recorded from 38 patients undergoing intracranial monitoring of epileptic seizures across three research centers using the same experimental protocol. Participants were presented with suprathreshold visual stimuli belonging to four different categories (faces, objects, letters, false fonts) in three orientations (front, left, right view), and for three durations (0.5, 1.0, 1.5 s). Participants engaged in a non-speeded Go/No-Go target detection task to identify infrequent targets with some stimuli becoming task-relevant and others task-irrelevant. Participants also engaged in a motor localizer task. The data were checked for its quality and converted to Brain Imaging Data Structure (BIDS). The de-identified dataset contains demographics, clinical information, electrode reconstruction, behavioral performance, and eye-tracking data. We also provide code to preprocess and analyze the data. This dataset holds promise for reuse in consciousness science and vision neuroscience to answer questions related to stimulus processing, target detection, and task-relevance, among many others.https://doi.org/10.1038/s41597-025-04833-z |
| spellingShingle | Alia Seedat Alex Lepauvre Jay Jeschke Urszula Gorska-Klimowska Marcelo Armendariz Katarina Bendtz Simon Henin Rony Hirschhorn Tanya Brown Erika Jensen Csaba Kozma David Mazumder Stephanie Montenegro Leyao Yu Niccolò Bonacchi Diptyajit Das Kyle Kahraman Praveen Sripad Fatemeh Taheriyan Orrin Devinsky Patricia Dugan Werner Doyle Adeen Flinker Daniel Friedman Wendell Lake Michael Pitts Liad Mudrik Melanie Boly Sasha Devore Gabriel Kreiman Lucia Melloni Open multi-center intracranial electroencephalography dataset with task probing conscious visual perception Scientific Data |
| title | Open multi-center intracranial electroencephalography dataset with task probing conscious visual perception |
| title_full | Open multi-center intracranial electroencephalography dataset with task probing conscious visual perception |
| title_fullStr | Open multi-center intracranial electroencephalography dataset with task probing conscious visual perception |
| title_full_unstemmed | Open multi-center intracranial electroencephalography dataset with task probing conscious visual perception |
| title_short | Open multi-center intracranial electroencephalography dataset with task probing conscious visual perception |
| title_sort | open multi center intracranial electroencephalography dataset with task probing conscious visual perception |
| url | https://doi.org/10.1038/s41597-025-04833-z |
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