The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments

Krzysztof Gorgolewski 1, * Tibor Auer 2 Vince Calhoun 3, 4 Cameron Craddock 5 Samir Das 6 Eugene Duff 7 Guillaume Flandin 8 Satrajit Ghosh 9 Tristan Glatard 10 Yaroslav Halchenko 11 Daniel Handwerker 12 Michael Hanke 13 David Keator 14 Xiangrui Li 15 Zachary Michael 16 Camille Maumet 17 Nolan Nichols 18, 1 Thomas Nichols 19, 17 John Pellman 20 Jean-Baptiste Poline 21, 22 Ariel Rokem 23 Gunnar Schaefer 24 Vanessa Sochat 1 William Triplett 1 Jessica Turner 25 Gaël Varoquaux 26, 27 Russell Poldrack 28
Abstract : The development of magnetic resonance imaging (MRI) techniques has defined modern neuroimaging. Since its inception, tens of thousands of studies using techniques such as functional MRI and diffusion weighted imaging have allowed for the non-invasive study of the brain. Despite the fact that MRI is routinely used to obtain data for neuroscience research, there has been no widely adopted standard for organizing and describing the data collected in an imaging experiment. This renders sharing and reusing data (within or between labs) difficult if not impossible and unnecessarily complicates the application of automatic pipelines and quality assurance protocols. To solve this problem, we have developed the Brain Imaging Data Structure (BIDS), a standard for organizing and describing MRI datasets. The BIDS standard uses file formats compatible with existing software, unifies the majority of practices already common in the field, and captures the metadata necessary for most common data processing operations.
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Krzysztof Gorgolewski, Tibor Auer, Vince Calhoun, Cameron Craddock, Samir Das, et al.. The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments. Scientific Data , Nature Publishing Group, 2016, 3, pp.160044. ⟨10.1038/sdata.2016.44⟩. ⟨inserm-01345616⟩



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