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

Niso Galán, Julia Guiomar and Gorgolewski, Krzysztof J. and Bock, Elizabeth and Brooks, Teon L. and Flandin, Guillaume and Gramfort, Alexandre and Henson, Richard N. and Jas, Mainak and Litvak, Vladimir and Moreau, Jeremy T. and Oostenveld, Robert and Schoffelen, Jan-Mathijs and Tadel, Francois and Wexler, Joseph and Baillet, Sylvain (2018). MEG-BIDS, the brain imaging data structure extended to magnetoencephalography. "Scientific Data", v. 5 ; pp. 1-5. ISSN 2052-4463. https://doi.org/10.1038/sdata.2018.110.

Description

Title: MEG-BIDS, the brain imaging data structure extended to magnetoencephalography
Author/s:
  • Niso Galán, Julia Guiomar
  • Gorgolewski, Krzysztof J.
  • Bock, Elizabeth
  • Brooks, Teon L.
  • Flandin, Guillaume
  • Gramfort, Alexandre
  • Henson, Richard N.
  • Jas, Mainak
  • Litvak, Vladimir
  • Moreau, Jeremy T.
  • Oostenveld, Robert
  • Schoffelen, Jan-Mathijs
  • Tadel, Francois
  • Wexler, Joseph
  • Baillet, Sylvain
Item Type: Article
Título de Revista/Publicación: Scientific Data
Date: 2018
ISSN: 2052-4463
Volume: 5
Subjects:
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Otro
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

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. MEGBIDS builds on MRI-BIDS, extending BIDS to a multimodal data structure. We feature several dataanalytics software that have adopted MEG-BIDS, and a diverse sample of open MEG-BIDS data resources available to everyone.

Funding Projects

TypeCodeAcronymLeaderTitle
Horizon 2020641652ChildBrainUnspecifiedAdvancing brain research in children’s developmental neurocognitive disorders

More information

Item ID: 55017
DC Identifier: http://oa.upm.es/55017/
OAI Identifier: oai:oa.upm.es:55017
DOI: 10.1038/sdata.2018.110
Official URL: https://www.nature.com/articles/sdata2018110
Deposited by: Memoria Investigacion
Deposited on: 21 May 2019 15:31
Last Modified: 21 May 2019 15:31
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