iEEG-BIDS, extending the Brain Imaging Data Structure specification to human intracranial electrophysiology

The Brain Imaging Data Structure (BIDS) is a community-driven specification for organizing neuroscience data and metadata with the aim to make datasets more transparent, reusable, and reproducible. Intracranial electroencephalography (iEEG) data offer a unique combination of high spatial and tempora...

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Veröffentlicht in:	Scientific data 2019-06, Vol.6 (1), p.102-6, Article 102
Hauptverfasser:	Holdgraf, Christopher, Appelhoff, Stefan, Bickel, Stephan, Bouchard, Kristofer, D’Ambrosio, Sasha, David, Olivier, Devinsky, Orrin, Dichter, Benjamin, Flinker, Adeen, Foster, Brett L., Gorgolewski, Krzysztof J., Groen, Iris, Groppe, David, Gunduz, Aysegul, Hamilton, Liberty, Honey, Christopher J., Jas, Mainak, Knight, Robert, Lachaux, Jean-Philippe, Lau, Jonathan C., Lee-Messer, Christopher, Lundstrom, Brian N., Miller, Kai J., Ojemann, Jeffrey G., Oostenveld, Robert, Petridou, Natalia, Piantoni, Gio, Pigorini, Andrea, Pouratian, Nader, Ramsey, Nick F., Stolk, Arjen, Swann, Nicole C., Tadel, François, Voytek, Bradley, Wandell, Brian A., Winawer, Jonathan, Whitaker, Kirstie, Zehl, Lyuba, Hermes, Dora
Format:	Artikel
Sprache:	eng
Schlagworte:	631/114/2402 631/114/794 631/378/2649 Brain - diagnostic imaging Brain - physiology Comment Datasets as Topic EEG Electroencephalography Electrophysiology Humanities and Social Sciences Humans Information Storage and Retrieval - standards Medical imaging multidisciplinary Nervous system Neuroimaging Science Science & Technology - Other Topics Science (multidisciplinary)
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Beschreibung
Zusammenfassung:	The Brain Imaging Data Structure (BIDS) is a community-driven specification for organizing neuroscience data and metadata with the aim to make datasets more transparent, reusable, and reproducible. Intracranial electroencephalography (iEEG) data offer a unique combination of high spatial and temporal resolution measurements of the living human brain. To improve internal (re)use and external sharing of these unique data, we present a specification for storing and sharing iEEG data: iEEG-BIDS.
ISSN:	2052-4463 2052-4463
DOI:	10.1038/s41597-019-0105-7