1. BIDS-iEEG: an extension to the brain imaging data structure (BIDS) specification for human intracranial electrophysiology
- Author
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Christopher Holdgraf, Stefan Appelhoff, Stephan Bickel, Kristofer Bouchard, Sasha D'Ambrosio, Olivier David, Orrin Devinsky, Ben Dichter, adeen flinker, Brett Foster, Krzysztof Jacek Gorgolewski, Iris I.A. Groen, David Groppe, Aysegul Gunduz, Liberty S Hamilton, Christopher John Honey, Mainak Jas, Robert Knight, Jean-Philippe Lachaux, Jonathan Lau, Brian N. Lundstrom, Christopher Lee-Messer, Kai Miller, Jeffrey G. Ojemann, Robert Oostenveld, Giovanni Piantoni, Natalia Petridou, Andrea Pigorini, Nader Pouratian, Nick ramsey, Arjen Stolk, Nicole C. Swann, Francois Tadel, Bradley Voytek, Brian Arie Wandell, Jonathan Winawer, Lyuba Zehl, and Dora Hermes
- Subjects
Computer science ,business.industry ,Extension (predicate logic) ,Data structure ,Intracranial Electroencephalography ,Stereoelectroencephalography ,Electrophysiology ,bepress|Life Sciences|Neuroscience and Neurobiology ,PsyArXiv|Neuroscience|Cognitive Neuroscience ,Text mining ,Neuroimaging ,PsyArXiv|Neuroscience ,bepress|Life Sciences|Neuroscience and Neurobiology|Cognitive Neuroscience ,business ,Neuroscience - Abstract
Intracranial electroencephalography (iEEG) data offer a unique combination of high spatial and temporal resolution measures of the living human brain. However, data collection is limited to highly specialized clinical environments. To improve internal (re)use and external sharing of these unique data, we present a structure for storing and sharing iEEG data: BIDS-iEEG, an extension of the Brain Imaging Data Structure (BIDS) specification, along with freely available examples and a bids-starter-kit. BIDS is a framework for organizing and documenting data and metadata with the aim to make datasets more transparent and reusable and to improve reproducibility of research. It is a community-driven specification with an inclusive decision-making process. As an extension of the BIDS specification, BIDS-iEEG facilitates integration with other modalities such as fMRI, MEG, and EEG. As the BIDS-iEEG extension has received input from many iEEG researchers, it provides a common ground for data transfer within labs, between labs, and in open-data repositories. It will facilitate reproducible analyses across datasets, experiments, and recording sites, allowing scientists to answer more complex questions about the human brain. Finally, the cross-modal nature of BIDS will enable efficient consolidation of data from multiple sites for addressing questions about generalized brain function.
- Published
- 2018