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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Bibliografiske detaljer
Main Authors: Eichele, Tom, Rachakonda, Srinivas, Brakedal, Brage, Eikeland, Rune, Calhoun, Vince D.
Format: Artigo
Sprog:Inglês
Udgivet: Hindawi Publishing Corporation 2011
Fag:
Research Article
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC3130967/
https://ncbi.nlm.nih.gov/pubmed/21747835
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2011/129365
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