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Issues and recommendations from the OHBM COBIDAS MEEG committee for reproducible EEG and MEG research.
Pernet, Cyril; Garrido, Marta I; Gramfort, Alexandre; Maurits, Natasha; Michel, Christoph M; Pang, Elizabeth; Salmelin, Riitta; Schoffelen, Jan Mathijs; Valdes-Sosa, Pedro A; Puce, Aina.
Afiliação
  • Pernet C; Centre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, UK. cyril.pernet@ed.ac.uk.
  • Garrido MI; Melbourne School of Psychological Sciences, The University of Melbourne, Melbourne, Australia.
  • Gramfort A; Université Paris-Saclay, Inria, CEA, Palaiseau, France.
  • Maurits N; University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
  • Michel CM; Department of Basic Neurosciences, University of Geneva, Geneva, Switzerland.
  • Pang E; SickKids Research Institute, Toronto, Ontario, Canada.
  • Salmelin R; Department of Neuroscience and Biomedical Engineering, Aalto University, Aalto, Finland.
  • Schoffelen JM; Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands.
  • Valdes-Sosa PA; Joint China-Cuba Laboratory for Neurotechnology, University of Electronic Science and Technology of China, Chengdu, China.
  • Puce A; Cuban Neuroscience Center, Havana, Cuba.
Nat Neurosci ; 23(12): 1473-1483, 2020 12.
Article em En | MEDLINE | ID: mdl-32958924
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.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Mapeamento Encefálico / Magnetoencefalografia / Eletroencefalografia Tipo de estudo: Guideline / Qualitative_research Limite: Animals / Humans Idioma: En Revista: Nat Neurosci Assunto da revista: NEUROLOGIA Ano de publicação: 2020 Tipo de documento: Article País de publicação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Mapeamento Encefálico / Magnetoencefalografia / Eletroencefalografia Tipo de estudo: Guideline / Qualitative_research Limite: Animals / Humans Idioma: En Revista: Nat Neurosci Assunto da revista: NEUROLOGIA Ano de publicação: 2020 Tipo de documento: Article País de publicação: Estados Unidos