RT Journal Article
SR Electronic
T1 MEG-BIDS: an extension to the Brain Imaging Data Structure for magnetoencephalography
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 172684
DO 10.1101/172684
A1 Guiomar Niso
A1 Krzysztof J. Gorgolewski
A1 Elizabeth Bock
A1 Teon L. Brooks
A1 Guillaume Flandin
A1 Alexandre Gramfort
A1 Richard N. Henson
A1 Mainak Jas
A1 Vladimir Litvak
A1 Jeremy Moreau
A1 Robert Oostenveld
A1 Jan-Mathijs Schoffelen
A1 Francois Tadel
A1 Joseph Wexler
A1 Sylvain Baillet
YR 2017
UL http://biorxiv.org/content/early/2017/08/08/172684.abstract
AB 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.