MEG-BIDS, the brain imaging data structure extended to magnetoencephalography.
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Authors
Niso, Guiomar
Bock, Elizabeth
Flandin, Guillaume
Gramfort, Alexandre
Jas, Mainak
Litvak, Vladimir
T Moreau, Jeremy
Schoffelen, Jan-Mathijs
Tadel, Francois
Wexler, Joseph
Publication Date
2018-06-19Journal Title
Sci Data
ISSN
2052-4463
Publisher
Springer Science and Business Media LLC
Volume
5
Pages
180110
Language
eng
Type
Article
Physical Medium
Electronic
Metadata
Show full item recordCitation
Niso, G., Gorgolewski, K. J., Bock, E., Brooks, T. L., Flandin, G., Gramfort, A., Henson, R. N., et al. (2018). MEG-BIDS, the brain imaging data structure extended to magnetoencephalography.. Sci Data, 5 180110. https://doi.org/10.1038/sdata.2018.110
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. 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.
Keywords
Brain, Humans, Magnetoencephalography, Neuroimaging
Sponsorship
Medical Research Council (MR/K005464/1)
Medical Research Council (MC_UU_00005/8)
Identifiers
External DOI: https://doi.org/10.1038/sdata.2018.110
This record's URL: https://www.repository.cam.ac.uk/handle/1810/283011
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