The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments
Stanford University · MRC Cognition and Brain Sciences Unit · +33 more institutions
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…
Citation impact
- FWCI
- 241.73
- Percentile
- 100%
- References
- 31
Authors
27- KJKrzysztof J. GorgolewskiCorresponding
Stanford University
- TATibor Auer
MRC Cognition and Brain Sciences Unit
- VDVince D. Calhoun
Mind Research Network, University of New Mexico
- RCR. Cameron Craddock
Nathan Kline Institute for Psychiatric Research, Child Mind Institute
- SDSamir Das
Montreal Neurological Institute and Hospital
Topics & keywords
- Computer science
- Neuroimaging
- Metadata
- Data sharing
- Software
- Field (mathematics)
- File format
- Functional magnetic resonance imaging
Funding
- NSNational Science FoundationAwards: 1429999, P20GM103472
- LALaura and John Arnold Foundation
- WTWellcome Trust
- CFCenter for Behavioral Brain Sciences
- NINational Institutes of HealthAwards: P20GM103472, AA021697
- MRMedical Research CouncilAward: MC-A060-53144
- EREuropean Regional Development Fund
- NINational Institute on Alcohol Abuse and AlcoholismAwards: AA021697-04S1, AA021697
- NINational Institute of Mental HealthAward: P20GM103472