From BIDS-Formatted EEG Data to Sensor-Space Group Results: A Fully Reproducible Workflow With EEGLAB and LIMO EEG.

Pernet, Cyril R; Martinez-Cancino, Ramon; Truong, Dung; Makeig, Scott; Delorme, Arnaud

Pernet, Cyril R; Martinez-Cancino, Ramon; Truong, Dung; Makeig, Scott; Delorme, Arnaud.

Afiliación

Pernet CR; Centre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, United Kingdom.
Martinez-Cancino R; Swartz Center for Computational Neurosciences, University of California, San Diego, San Diego, CA, United States.
Truong D; Swartz Center for Computational Neurosciences, University of California, San Diego, San Diego, CA, United States.
Makeig S; Swartz Center for Computational Neurosciences, University of California, San Diego, San Diego, CA, United States.
Delorme A; Swartz Center for Computational Neurosciences, University of California, San Diego, San Diego, CA, United States.

Front Neurosci ; 14: 610388, 2020.

Article en En | MEDLINE | ID: mdl-33519362

Palabras clave

EEGLAB toolbox; LIMO EEG; brain imaging data structure; linear models; preprocessing algorithm; reproducibility and tools

Texto completo

Añadir a Mi BVS

Imprimir

XML

PubMed Links

Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Neurosci Año: 2020 Tipo del documento: Article País de afiliación: Reino Unido Pais de publicación: Suiza

Texto completo

Añadir a Mi BVS

Imprimir

XML

PubMed Links

Buscar en Google