Large-Scale Functional Networks Identified from Resting-State EEG Using Spatial ICA

Several methods have been applied to EEG or MEG signals to detect functional networks. In recent works using MEG/EEG and fMRI data, temporal ICA analysis has been used to extract spatial maps of resting-state networks with or without an atlas-based parcellation of the cortex. Since the links between...

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Detalles Bibliográficos
Autores principales: Sockeel, Stéphane, Schwartz, Denis, Pélégrini-Issac, Mélanie, Benali, Habib
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4718524/
https://www.ncbi.nlm.nih.gov/pubmed/26785116
http://dx.doi.org/10.1371/journal.pone.0146845

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4718524/
https://www.ncbi.nlm.nih.gov/pubmed/26785116
http://dx.doi.org/10.1371/journal.pone.0146845

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