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

Krzysztof J. Gorgolewski; Tibor Auer; Vince D. Calhoun; R. Cameron Craddock; Samir Das; Eugene P. Duff; Guillaume Flandin; Satrajit S. Ghosh; Tristan Glatard; Yaroslav O. Halchenko; Daniel A. Handwerker; Michael Hanke; David Keator; Xiangrui Li; Zachary Michael; Camille Maumet; B. Nolan Nichols; Thomas E. Nichols; John Pellman; Jean Baptiste Poline; Ariel Rokem; Gunnar Schaefer; Vanessa Sochat; William Triplett; Jessica A. Turner; Gaël Varoquaux; Russell A. Poldrack

doi:10.1038/sdata.2016.44

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

Krzysztof J. Gorgolewski, Tibor Auer, Vince D. Calhoun, R. Cameron Craddock, Samir Das, Eugene P. Duff, Guillaume Flandin, Satrajit S. Ghosh, Tristan Glatard, Yaroslav O. Halchenko, Daniel A. Handwerker, Michael Hanke, David Keator, Xiangrui Li, Zachary Michael, Camille Maumet, B. Nolan Nichols, Thomas E. Nichols, John Pellman, Jean Baptiste PolineAriel Rokem, Gunnar Schaefer, Vanessa Sochat, William Triplett, Jessica A. Turner, Gaël Varoquaux, Russell A. Poldrack

School of Medicine

Research output: Contribution to journal › Article › peer-review

277 Scopus citations

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.

Original language	English (US)
Article number	160044
Journal	Scientific Data
Volume	3
DOIs	https://doi.org/10.1038/sdata.2016.44
State	Published - Jun 21 2016

ASJC Scopus subject areas

Statistics and Probability
Information Systems
Education
Computer Science Applications
Statistics, Probability and Uncertainty
Library and Information Sciences

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Gorgolewski, K. J., Auer, T., Calhoun, V. D., Craddock, R. C., Das, S., Duff, E. P., Flandin, G., Ghosh, S. S., Glatard, T., Halchenko, Y. O., Handwerker, D. A., Hanke, M., Keator, D., Li, X., Michael, Z., Maumet, C., Nichols, B. N., Nichols, T. E., Pellman, J., ... Poldrack, R. A. (2016). The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments. Scientific Data, 3, Article 160044. https://doi.org/10.1038/sdata.2016.44

Gorgolewski, KJ, Auer, T, Calhoun, VD, Craddock, RC, Das, S, Duff, EP, Flandin, G, Ghosh, SS, Glatard, T, Halchenko, YO, Handwerker, DA, Hanke, M, Keator, D, Li, X, Michael, Z, Maumet, C, Nichols, BN, Nichols, TE, Pellman, J, Poline, JB, Rokem, A, Schaefer, G, Sochat, V, Triplett, W, Turner, JA, Varoquaux, G & Poldrack, RA 2016, 'The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments', Scientific Data, vol. 3, 160044. https://doi.org/10.1038/sdata.2016.44

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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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AU - Schaefer, Gunnar

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

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