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MEG-BIDS, the brain imaging data structure extended to magnetoencephalography

We present a significant extension of the Brain Imaging Data Structure (BIDS) to support the specific aspects of magnetoencephalography (MEG) data. MEG measures brain activity with millisecond temporal resolution and unique source imaging capabilities. So far, BIDS was a solution to organise magneti...

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Autores principales: Niso, Guiomar, Gorgolewski, Krzysztof J., Bock, Elizabeth, Brooks, Teon L., Flandin, Guillaume, Gramfort, Alexandre, Henson, Richard N., Jas, Mainak, Litvak, Vladimir, T. Moreau, Jeremy, Oostenveld, Robert, Schoffelen, Jan-Mathijs, Tadel, Francois, Wexler, Joseph, Baillet, Sylvain
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6007085/
https://www.ncbi.nlm.nih.gov/pubmed/29917016
http://dx.doi.org/10.1038/sdata.2018.110
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author Niso, Guiomar
Gorgolewski, Krzysztof J.
Bock, Elizabeth
Brooks, Teon L.
Flandin, Guillaume
Gramfort, Alexandre
Henson, Richard N.
Jas, Mainak
Litvak, Vladimir
T. Moreau, Jeremy
Oostenveld, Robert
Schoffelen, Jan-Mathijs
Tadel, Francois
Wexler, Joseph
Baillet, Sylvain
author_facet Niso, Guiomar
Gorgolewski, Krzysztof J.
Bock, Elizabeth
Brooks, Teon L.
Flandin, Guillaume
Gramfort, Alexandre
Henson, Richard N.
Jas, Mainak
Litvak, Vladimir
T. Moreau, Jeremy
Oostenveld, Robert
Schoffelen, Jan-Mathijs
Tadel, Francois
Wexler, Joseph
Baillet, Sylvain
author_sort Niso, Guiomar
collection PubMed
description We present a significant extension of the Brain Imaging Data Structure (BIDS) to support the specific aspects of magnetoencephalography (MEG) data. MEG measures brain activity with millisecond temporal resolution and unique source imaging capabilities. So far, BIDS was a solution to organise magnetic resonance imaging (MRI) data. The nature and acquisition parameters of MRI and MEG data are strongly dissimilar. Although there is no standard data format for MEG, we propose MEG-BIDS as a principled solution to store, organise, process and share the multidimensional data volumes produced by the modality. The standard also includes well-defined metadata, to facilitate future data harmonisation and sharing efforts. This responds to unmet needs from the multimodal neuroimaging community and paves the way to further integration of other techniques in electrophysiology. MEG-BIDS builds on MRI-BIDS, extending BIDS to a multimodal data structure. We feature several data-analytics software that have adopted MEG-BIDS, and a diverse sample of open MEG-BIDS data resources available to everyone.
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spelling pubmed-60070852018-06-27 MEG-BIDS, the brain imaging data structure extended to magnetoencephalography Niso, Guiomar Gorgolewski, Krzysztof J. Bock, Elizabeth Brooks, Teon L. Flandin, Guillaume Gramfort, Alexandre Henson, Richard N. Jas, Mainak Litvak, Vladimir T. Moreau, Jeremy Oostenveld, Robert Schoffelen, Jan-Mathijs Tadel, Francois Wexler, Joseph Baillet, Sylvain Sci Data Comment We present a significant extension of the Brain Imaging Data Structure (BIDS) to support the specific aspects of magnetoencephalography (MEG) data. MEG measures brain activity with millisecond temporal resolution and unique source imaging capabilities. So far, BIDS was a solution to organise magnetic resonance imaging (MRI) data. The nature and acquisition parameters of MRI and MEG data are strongly dissimilar. Although there is no standard data format for MEG, we propose MEG-BIDS as a principled solution to store, organise, process and share the multidimensional data volumes produced by the modality. The standard also includes well-defined metadata, to facilitate future data harmonisation and sharing efforts. This responds to unmet needs from the multimodal neuroimaging community and paves the way to further integration of other techniques in electrophysiology. MEG-BIDS builds on MRI-BIDS, extending BIDS to a multimodal data structure. We feature several data-analytics software that have adopted MEG-BIDS, and a diverse sample of open MEG-BIDS data resources available to everyone. Nature Publishing Group 2018-06-19 /pmc/articles/PMC6007085/ /pubmed/29917016 http://dx.doi.org/10.1038/sdata.2018.110 Text en Copyright © 2018, The Author(s) http://creativecommons.org/licenses/by/4.0/ Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Comment
Niso, Guiomar
Gorgolewski, Krzysztof J.
Bock, Elizabeth
Brooks, Teon L.
Flandin, Guillaume
Gramfort, Alexandre
Henson, Richard N.
Jas, Mainak
Litvak, Vladimir
T. Moreau, Jeremy
Oostenveld, Robert
Schoffelen, Jan-Mathijs
Tadel, Francois
Wexler, Joseph
Baillet, Sylvain
MEG-BIDS, the brain imaging data structure extended to magnetoencephalography
title MEG-BIDS, the brain imaging data structure extended to magnetoencephalography
title_full MEG-BIDS, the brain imaging data structure extended to magnetoencephalography
title_fullStr MEG-BIDS, the brain imaging data structure extended to magnetoencephalography
title_full_unstemmed MEG-BIDS, the brain imaging data structure extended to magnetoencephalography
title_short MEG-BIDS, the brain imaging data structure extended to magnetoencephalography
title_sort meg-bids, the brain imaging data structure extended to magnetoencephalography
topic Comment
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6007085/
https://www.ncbi.nlm.nih.gov/pubmed/29917016
http://dx.doi.org/10.1038/sdata.2018.110
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