EEGIFT: Group Independent Component Analysis for Event-Related EEG Data

Independent component analysis (ICA) is a powerful method for source separation and has been used for decomposition of EEG, MRI, and concurrent EEG-fMRI data. ICA is not naturally suited to draw group inferences since it is a non-trivial problem to identify and order components across individuals. O...

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Detalles Bibliográficos
Autores principales: Eichele, Tom, Rachakonda, Srinivas, Brakedal, Brage, Eikeland, Rune, Calhoun, Vince D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2011
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3130967/
https://www.ncbi.nlm.nih.gov/pubmed/21747835
http://dx.doi.org/10.1155/2011/129365

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3130967/
https://www.ncbi.nlm.nih.gov/pubmed/21747835
http://dx.doi.org/10.1155/2011/129365

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