TY - JOUR
T1 - Issues and recommendations from the OHBM COBIDAS MEEG committee for reproducible EEG and MEG research
AU - Pernet, Cyril
AU - Garrido, Marta I.
AU - Gramfort, Alexandre
AU - Maurits, Natasha
AU - Michel, Christoph M.
AU - Pang, Elizabeth
AU - Salmelin, Riitta
AU - Schoffelen, Jan Mathijs
AU - Valdes-Sosa, Pedro A.
AU - Puce, Aina
PY - 2020/12
Y1 - 2020/12
N2 - The Organization for Human Brain Mapping (OHBM) has been active in advocating for the instantiation of best practices in neuroimaging data acquisition, analysis, reporting and sharing of both data and analysis code to deal with issues in science related to reproducibility and replicability. Here we summarize recommendations for such practices in magnetoencephalographic (MEG) and electroencephalographic (EEG) research, recently developed by the OHBM neuroimaging community known by the abbreviated name of COBIDAS MEEG. We discuss the rationale for the guidelines and their general content, which encompass many topics under active discussion in the field. We highlight future opportunities and challenges to maximizing the sharing and exploitation of MEG and EEG data, and we also discuss how this ‘living’ set of guidelines will evolve to continually address new developments in neurophysiological assessment methods and multimodal integration of neurophysiological data with other data types.
AB - The Organization for Human Brain Mapping (OHBM) has been active in advocating for the instantiation of best practices in neuroimaging data acquisition, analysis, reporting and sharing of both data and analysis code to deal with issues in science related to reproducibility and replicability. Here we summarize recommendations for such practices in magnetoencephalographic (MEG) and electroencephalographic (EEG) research, recently developed by the OHBM neuroimaging community known by the abbreviated name of COBIDAS MEEG. We discuss the rationale for the guidelines and their general content, which encompass many topics under active discussion in the field. We highlight future opportunities and challenges to maximizing the sharing and exploitation of MEG and EEG data, and we also discuss how this ‘living’ set of guidelines will evolve to continually address new developments in neurophysiological assessment methods and multimodal integration of neurophysiological data with other data types.
UR - http://www.scopus.com/inward/record.url?scp=85091202160&partnerID=8YFLogxK
UR - https://research.aalto.fi/en/publications/issues-and-recommendations-from-the-ohbm-cobidas-meeg-committee-for-reproducible-eeg-and-meg-research(28a2a152-8a63-4bac-8c69-414d7176b5dc).html
U2 - 10.1038/s41593-020-00709-0
DO - 10.1038/s41593-020-00709-0
M3 - Article
AN - SCOPUS:85091202160
VL - 23
SP - 1473
EP - 1483
JO - NATURE NEUROSCIENCE
JF - NATURE NEUROSCIENCE
SN - 1097-6256
IS - 12
ER -