Abstract

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.

Details

Title
iEEG-BIDS, extending the Brain Imaging Data Structure specification to human intracranial electrophysiology
Author
Holdgraf, Christopher 1 ; Appelhoff, Stefan 2   VIAFID ORCID Logo  ; Bickel, Stephan 3 ; Bouchard, Kristofer 4 ; Sasha D’Ambrosio 5   VIAFID ORCID Logo  ; Olivier, David 6 ; Devinsky, Orrin 7   VIAFID ORCID Logo  ; Dichter, Benjamin 8 ; Flinker, Adeen 7   VIAFID ORCID Logo  ; Foster, Brett L 9 ; Gorgolewski, Krzysztof J 8   VIAFID ORCID Logo  ; Groen, Iris 10   VIAFID ORCID Logo  ; Groppe, David 11 ; Gunduz, Aysegul 12 ; Hamilton, Liberty 13   VIAFID ORCID Logo  ; Honey, Christopher J 14 ; Jas, Mainak 15 ; Knight, Robert 16 ; Jean-Philippe Lachaux 17 ; Lau, Jonathan C 18 ; Lee-Messer, Christopher 8 ; Lundstrom, Brian N 19   VIAFID ORCID Logo  ; Miller, Kai J 20 ; Ojemann, Jeffrey G 21 ; Oostenveld, Robert 22   VIAFID ORCID Logo  ; Petridou, Natalia 23 ; Piantoni, Gio 24   VIAFID ORCID Logo  ; Pigorini, Andrea 5 ; Pouratian, Nader 25 ; Ramsey, Nick F 24   VIAFID ORCID Logo  ; Stolk, Arjen 16   VIAFID ORCID Logo  ; Swann, Nicole C 26 ; Tadel, François 27 ; Voytek, Bradley 28 ; Wandell, Brian A 8 ; Winawer, Jonathan 10   VIAFID ORCID Logo  ; Whitaker, Kirstie 29 ; Zehl, Lyuba 30   VIAFID ORCID Logo  ; Hermes, Dora 31 

 The Berkeley Institute for Data Science, Berkeley, USA; University of California at Berkeley, Berkeley, USA 
 Center for Adaptive Rationality, Max Planck Institute for Human Development, Berlin, Germany 
 Feinstein Institute for Medical Research, Hofstra Northwell School of Medicine, New York, USA 
 Biological Systems and Engineering Division, Lawrence Berkeley Lab, Berkeley, USA 
 Università degli Studi di Milano, Milan, Italy 
 Universite Grenoble Alpes, Inserm, France 
 NYU School of Medicine, New York, USA 
 Stanford University, Stanford, USA 
 Baylor College of Medicine, Houston, Texas, USA 
10  New York University, New York, USA 
11  Krembil Research Institute, Toronto, USA 
12  University of Florida, Gainesville, USA 
13  The University of Texas at Austin, Austin, USA 
14  Johns Hopkins University, Baltimore, USA 
15  Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Med. School, Charlestown, USA 
16  University of California at Berkeley, Berkeley, USA 
17  Centre de Recherche en Neurosciences de Lyon, INSERM, Lyon, France 
18  Department of Clinical Neurological Sciences, Division of Neurosurgery, Western University, London, Canada 
19  Mayo Clinic, Rochester, USA 
20  Department of Neurosurgery, Mayo Clinic, Rochester, USA 
21  University of Washington, Washington, USA 
22  Radboud University, Donders Institute for Brain, Cognition and Behaviour, Karolinska Institutet, Nijmegen, The Netherlands 
23  Center for Image Sciences, University Medical Center Utrecht, Utrecht, The Netherlands 
24  UMC Utrecht Brain Center, Utrecht, The Netherlands 
25  David Geffen School of Medicine at UCLA, California, USA 
26  University of Oregon, Oregon, USA 
27  Universite Grenoble Alpes, Inserm, France; CHU Grenoble Alpes, GIN, Grenoble, France 
28  UC San Diego, San Diego, USA 
29  Alan Turing Institute, London, UK; Department of Psychiatry, University of Cambridge, Cambridge, UK 
30  Institute for Neuroscience and Medicine (INM-1), Forschungszentrum Jülich GmbH, Jülich, Germany 
31  Stanford University, Stanford, USA; UMC Utrecht Brain Center, Utrecht, The Netherlands; Department of Physiology & Biomedical Engineering, Mayo Clinic, Rochester, USA 
Pages
1-6
Publication year
2019
Publication date
Dec 2019
Publisher
Nature Publishing Group
e-ISSN
20524463
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2246925080
Copyright
© 2019. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.