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The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments
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...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4978148/ https://www.ncbi.nlm.nih.gov/pubmed/27326542 http://dx.doi.org/10.1038/sdata.2016.44 |
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author | Gorgolewski, Krzysztof J. Auer, Tibor Calhoun, Vince D. Craddock, R. Cameron Das, Samir Duff, Eugene P. Flandin, Guillaume Ghosh, Satrajit S. Glatard, Tristan Halchenko, Yaroslav O. Handwerker, Daniel A. Hanke, Michael Keator, David Li, Xiangrui Michael, Zachary Maumet, Camille Nichols, B. Nolan Nichols, Thomas E. Pellman, John Poline, Jean-Baptiste Rokem, Ariel Schaefer, Gunnar Sochat, Vanessa Triplett, William Turner, Jessica A. Varoquaux, Gaël Poldrack, Russell A. |
author_facet | Gorgolewski, Krzysztof J. Auer, Tibor Calhoun, Vince D. Craddock, R. Cameron Das, Samir Duff, Eugene P. Flandin, Guillaume Ghosh, Satrajit S. Glatard, Tristan Halchenko, Yaroslav O. Handwerker, Daniel A. Hanke, Michael Keator, David Li, Xiangrui Michael, Zachary Maumet, Camille Nichols, B. Nolan Nichols, Thomas E. Pellman, John Poline, Jean-Baptiste Rokem, Ariel Schaefer, Gunnar Sochat, Vanessa Triplett, William Turner, Jessica A. Varoquaux, Gaël Poldrack, Russell A. |
author_sort | Gorgolewski, Krzysztof J. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-4978148 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-49781482016-08-10 The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments Gorgolewski, Krzysztof J. Auer, Tibor Calhoun, Vince D. Craddock, R. Cameron Das, Samir Duff, Eugene P. Flandin, Guillaume Ghosh, Satrajit S. Glatard, Tristan Halchenko, Yaroslav O. Handwerker, Daniel A. Hanke, Michael Keator, David Li, Xiangrui Michael, Zachary Maumet, Camille Nichols, B. Nolan Nichols, Thomas E. Pellman, John Poline, Jean-Baptiste Rokem, Ariel Schaefer, Gunnar Sochat, Vanessa Triplett, William Turner, Jessica A. Varoquaux, Gaël Poldrack, Russell A. Sci Data Article 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. Nature Publishing Group 2016-06-21 /pmc/articles/PMC4978148/ /pubmed/27326542 http://dx.doi.org/10.1038/sdata.2016.44 Text en Copyright © 2016, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0 This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0 Metadata associated with this Data Descriptor is available at http://www.nature.com/sdata/ and is released under the CC0 waiver to maximize reuse. |
spellingShingle | Article Gorgolewski, Krzysztof J. Auer, Tibor Calhoun, Vince D. Craddock, R. Cameron Das, Samir Duff, Eugene P. Flandin, Guillaume Ghosh, Satrajit S. Glatard, Tristan Halchenko, Yaroslav O. Handwerker, Daniel A. Hanke, Michael Keator, David Li, Xiangrui Michael, Zachary Maumet, Camille Nichols, B. Nolan Nichols, Thomas E. Pellman, John Poline, Jean-Baptiste Rokem, Ariel Schaefer, Gunnar Sochat, Vanessa Triplett, William Turner, Jessica A. Varoquaux, Gaël Poldrack, Russell A. The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments |
title | The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments |
title_full | The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments |
title_fullStr | The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments |
title_full_unstemmed | The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments |
title_short | The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments |
title_sort | brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4978148/ https://www.ncbi.nlm.nih.gov/pubmed/27326542 http://dx.doi.org/10.1038/sdata.2016.44 |
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