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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 24 Gaël Varoquaux 25, 26 Russell Poldrack 27
* Corresponding author
1 Stanford University [Stanford]
2 CAM - University of Cambridge [UK]
3 ECE Department - Department of Electrical and Computer Engineering [Albuquerque]
4 The Mind Research Network
5 NKI - Nathan S. Kline Institute for Psychiatric Research
6 McGill University = Université McGill [Montréal, Canada]
7 FMRIB - Oxford Centre for Functional Magnetic Resonance Imaging of the Brain
8 Wellcome Trust Centre for Neuroimaging
9 IRFU - Institut de Recherches sur les lois Fondamentales de l'Univers
10 Images et Modèles
CREATIS - Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé
11 Department of Psychological and Brain Sciences
12 NIMH - National Institute of Mental Health
13 OVGU - Otto-von-Guericke University [Magdeburg]
14 UCI - University of California [Irvine]
15 Shandong University
16 Squishymedia [Portland]
17 WMG - Warwick Manufacturing Group [Coventry]
18 SRI - Silsoe Research Institute
19 Department of Statistics [Warwick]
20 Child Mind Institute
21 HWNI - The Helen Wills Neuroscience Institute
22 LBNL - Lawrence Berkeley National Laboratory [Berkeley]
23 University of Washington [Seattle]
24 Georgia State University
25 NEUROSPIN - Service NEUROSPIN
26 PARIETAL - Modelling brain structure, function and variability based on high-field MRI data
Inria Saclay - Ile de France, NEUROSPIN - Service NEUROSPIN
27 CALTECH - California Institute of Technology
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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https://www.hal.inserm.fr/inserm-01345616
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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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