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MEG-BIDS, the brain imaging data structure extended to magnetoencephalography
- Source :
- Scientific Data, Scientific Data, ISSN 2052-4463, 2018, Vol. 5, Archivo Digital UPM, Universidad Politécnica de Madrid, Scientific Data, 5, Scientific Data, 5, Article 180110. (2018)
- Publication Year :
- 2018
- Publisher :
- Springer Science and Business Media LLC, 2018.
-
Abstract
- Contains fulltext : 202961.pdf (Publisher’s version ) (Open Access) 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. 12 p.
- Subjects :
- 0301 basic medicine
Statistics and Probability
110 000 Neurocognition of Language
Computer science
Brain activity and meditation
Medicina
Neuroimaging
Library and Information Sciences
150 000 MR Techniques in Brain Function
Education
03 medical and health sciences
0302 clinical medicine
Software
medicine
Humans
Telecomunicaciones
Modality (human–computer interaction)
Information retrieval
medicine.diagnostic_test
business.industry
Comment
Brain
Magnetoencephalography
Data structure
Computer Science Applications
Research data
Metadata
Electrophysiology
030104 developmental biology
Feature (computer vision)
Statistics, Probability and Uncertainty
business
030217 neurology & neurosurgery
Information Systems
Neuroscience
Subjects
Details
- ISSN :
- 20524463
- Database :
- OpenAIRE
- Journal :
- Scientific Data, Scientific Data, ISSN 2052-4463, 2018, Vol. 5, Archivo Digital UPM, Universidad Politécnica de Madrid, Scientific Data, 5, Scientific Data, 5, Article 180110. (2018)
- Accession number :
- edsair.doi.dedup.....10a0cbb52e3e2052234c7722e5475040
- Full Text :
- https://doi.org/10.17863/cam.30375