4.7 Article

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

Journal

SCIENTIFIC DATA
Volume 5, Issue -, Pages -

Publisher

NATURE PUBLISHING GROUP
DOI: 10.1038/sdata.2018.110

Keywords

-

Funding

  1. ERC Starting Grant [SLAB ERC-YStG-676943]
  2. EU-H2020 Marie Curie ChildBrain Innovative Training Network [641652]
  3. NWO-VIDI Grant [864.14.011]
  4. Natural Science and Engineering Research Council of Canada [436355-13]
  5. NIH [2R01EB009048-05]
  6. Brain Canada Foundation [PSG15-3755]
  7. Medical Research Council [MR/K005464/1]
  8. Wellcome [203147/Z/16/Z]
  9. AXA Research Fund
  10. Tanenbaum Open Science Institute (Montreal, Canada)
  11. MRC [MR/K005464/1, MC_UU_00005/8] Funding Source: UKRI
  12. Marie Curie Actions (MSCA) [641652] Funding Source: Marie Curie Actions (MSCA)

Ask authors/readers for more resources

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 dataanalytics software that have adopted MEG-BIDS, and a diverse sample of open MEG-BIDS data resources available to everyone.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available