A Reproducible MEG/EEG Group Study With the MNE Software: Recommendations, Quality Assessments, and Good Practices.

Jas, Mainak; Larson, Eric; Engemann, Denis A; Leppäkangas, Jaakko; Taulu, Samu; Hämäläinen, Matti; Gramfort, Alexandre

Jas, Mainak; Larson, Eric; Engemann, Denis A; Leppäkangas, Jaakko; Taulu, Samu; Hämäläinen, Matti; Gramfort, Alexandre.

Afiliação

Jas M; Telecom ParisTech, Université Paris-Saclay, Paris, France.
Larson E; Institute for Learning and Brain Sciences, University of Washington, Seattle, WA, United States.
Engemann DA; NeuroSpin, CEA, Université Paris-Saclay, Gif-sur-Yvette, France.
Leppäkangas J; INRIA, Université Paris-Saclay, Saclay, France.
Taulu S; Telecom ParisTech, Université Paris-Saclay, Paris, France.
Hämäläinen M; Institute for Learning and Brain Sciences, University of Washington, Seattle, WA, United States.
Gramfort A; Department of Physics, University of Washington, Seattle, WA, United States.

Front Neurosci ; 12: 530, 2018.

Article em En | MEDLINE | ID: mdl-30127712

Palavras-chave

Python; electroencephalography (EEG); magnetoencephalography (MEG); neuroimaging; open-source; software

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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Guideline Idioma: En Revista: Front Neurosci Ano de publicação: 2018 Tipo de documento: Article País de afiliação: França

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