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iEEG-BIDS, extending the Brain Imaging Data Structure specification to human intracranial electrophysiology
- 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
- et al.
Published Web Location
https://doi.org/10.1038/s41597-019-0105-7Abstract
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.
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