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Updated: Feb 8, 2026

How to Detect Amygdala Activity with Magnetoencephalography using Source Imaging
Published on: June 3, 2013
MEG-BIDS, the brain imaging data structure extended to magnetoencephalography
Guiomar Niso1,2, Krzysztof J Gorgolewski3, Elizabeth Bock1
1McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal QC, H3A 2B4, Canada.
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.
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