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MEG-BIDS: an extension to the Brain Imaging Data Structure for magnetoencephalography

Guiomar Niso, Krzysztof J. Gorgolewski, Elizabeth Bock, Teon L. Brooks, Guillaume Flandin, Alexandre Gramfort, Richard N. Henson, Mainak Jas, Vladimir Litvak, Jeremy Moreau, Robert Oostenveld, Jan-Mathijs Schoffelen, Francois Tadel, Joseph Wexler, Sylvain Baillet
doi: https://doi.org/10.1101/172684
Guiomar Niso
1McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Canada
2Center for Biomedical Technology, Universidad Politécnica de Madrid, Spain
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Krzysztof J. Gorgolewski
3Department of Psychology, Stanford University, Stanford, 94305, CA, USA
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Elizabeth Bock
1McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Canada
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Teon L. Brooks
3Department of Psychology, Stanford University, Stanford, 94305, CA, USA
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Guillaume Flandin
7The Wellcome Centre for Human Neuroimaging, UCL Institute of Neurology, UK
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Alexandre Gramfort
4LTCI, Telecom ParisTech, Université Paris-Saclay
5INRIA, Université Paris-Saclay
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Richard N. Henson
6MRC Cognition and Brain Sciences Unit, University of Cambridge, UK
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Mainak Jas
4LTCI, Telecom ParisTech, Université Paris-Saclay
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Vladimir Litvak
7The Wellcome Centre for Human Neuroimaging, UCL Institute of Neurology, UK
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Jeremy Moreau
1McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Canada
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Robert Oostenveld
8Radboud University, Donders Institute for Brain, Cognition and Behaviour, Netherlands
9NatMEG, Karolinska Institute, Sweden
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Jan-Mathijs Schoffelen
8Radboud University, Donders Institute for Brain, Cognition and Behaviour, Netherlands
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Francois Tadel
10Inserm, U1216, F-38000, Grenoble, France
11Univ. Grenoble Alpes, Grenoble Institut des Neurosciences, GIN, F-38000 Grenoble, France
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Joseph Wexler
3Department of Psychology, Stanford University, Stanford, 94305, CA, USA
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Sylvain Baillet
1McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Canada
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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 provides direct measurement of brain activity with millisecond temporal resolution and unique source imaging capabilities. So far, BIDS has provided a solution to structure the organization of magnetic resonance imaging (MRI) data, which nature and acquisition parameters are different. Despite the lack of standard data format for MEG, MEG-BIDS is a principled solution to store, organize and share the typically-large data volumes produced. It builds on BIDS for MRI, and therefore readily yields a multimodal data organization by construction. This is particularly valuable for the anatomical and functional registration of MEG source imaging with MRI. With MEG-BIDS and a growing range of software adopting the standard, the MEG community has a solution to minimize curation overheads, reduce data handling errors and optimize usage of computational resources for analytics. The standard also includes well-defined metadata, to facilitate future data harmonization and sharing efforts.

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.
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Posted August 08, 2017.
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MEG-BIDS: an extension to the Brain Imaging Data Structure for magnetoencephalography
Guiomar Niso, Krzysztof J. Gorgolewski, Elizabeth Bock, Teon L. Brooks, Guillaume Flandin, Alexandre Gramfort, Richard N. Henson, Mainak Jas, Vladimir Litvak, Jeremy Moreau, Robert Oostenveld, Jan-Mathijs Schoffelen, Francois Tadel, Joseph Wexler, Sylvain Baillet
bioRxiv 172684; doi: https://doi.org/10.1101/172684
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MEG-BIDS: an extension to the Brain Imaging Data Structure for magnetoencephalography
Guiomar Niso, Krzysztof J. Gorgolewski, Elizabeth Bock, Teon L. Brooks, Guillaume Flandin, Alexandre Gramfort, Richard N. Henson, Mainak Jas, Vladimir Litvak, Jeremy Moreau, Robert Oostenveld, Jan-Mathijs Schoffelen, Francois Tadel, Joseph Wexler, Sylvain Baillet
bioRxiv 172684; doi: https://doi.org/10.1101/172684

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