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

Krzysztof J. Gorgolewski(Stanford University), Tibor Auer(MRC Cognition and Brain Sciences Unit), Vince D. Calhoun(Mind Research Network), R. Cameron Craddock(Nathan Kline Institute for Psychiatric Research), Samir Das(Montreal Neurological Institute and Hospital), Eugene Duff(University of Oxford), Guillaume Flandin(Wellcome Centre for Human Neuroimaging), Satrajit Ghosh(Harvard University), Tristan Glatard(Université Claude Bernard Lyon 1), Yaroslav O. Halchenko(Dartmouth College), Daniel A. Handwerker(National Institute of Mental Health), Michael Hanke(Center for Behavioral Brain Sciences), David B. Keator(University of California, Irvine), Xiangrui Li(Institute for Behavioral Medicine), Zachary Michael(HealthMedia (United States)), Camille Maumet(University of Warwick), B. Nolan Nichols(SRI International), Thomas E. Nichols(University of Warwick), John Pellman(Child Mind Institute), Jean‐Baptiste Poline(Imaging Center), Ariel Rokem(University of Washington), Gunnar Schaefer(Science Exchange (United States)), Vanessa Sochat(Stanford University), William Triplett(Stanford University), Jessica A. Turner(Mind Research Network), Gaël Varoquaux(Institut national de recherche en sciences et technologies du numérique), Russell A. Poldrack(Stanford University)
Scientific Data
June 21, 2016
Cited by 1,892Open Access
Full Text

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.


Related Papers

No related papers found

Powered by citation graph analysis