• Media type: E-Article
  • Title: iEEG-BIDS, extending the Brain Imaging Data Structure specification to human intracranial electrophysiology
  • Contributor: Holdgraf, Christopher [Author]; Appelhoff, Stefan [Author]; Gorgolewski, Krzysztof J [Author]; Groen, Iris [Author]; Groppe, David [Author]; Gunduz, Aysegul [Author]; Hamilton, Liberty [Author]; Honey, Christopher J [Author]; Jas, Mainak [Author]; Knight, Robert [Author]; Lachaux, Jean-Philippe [Author]; Lau, Jonathan C [Author]; Bickel, Stephan [Author]; Lee-Messer, Christopher [Author]; Lundstrom, Brian N [Author]; Miller, Kai J [Author]; Ojemann, Jeffrey G [Author]; Oostenveld, Robert [Author]; Petridou, Natalia [Author]; Piantoni, Gio [Author]; Pigorini, Andrea [Author]; Pouratian, Nader [Author]; Ramsey, Nick F [Author]; Bouchard, Kristofer [Author]; [...]
  • imprint: Nature Publ. Group, 2019
  • Published in: Scientific data 6(1), 102 (2019). doi:10.1038/s41597-019-0105-7
  • Language: English
  • DOI: https://doi.org/10.1038/s41597-019-0105-7
  • ISSN: 2052-4436; 2052-4463
  • Origination:
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  • Description: 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.
  • Access State: Open Access