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A unified framework for group independent component analysis for multi-subject fMRI data

Independent component analysis (ICA) is becoming increasingly popular for analyzing functional magnetic resonance imaging (fMRI) data. While ICA has been successfully applied to single-subject analysis, the extension of ICA to group inferences is not straightforward and remains an active topic of re...

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Hlavní autoři: Guo, Ying, Pagnoni, Giuseppe
Médium: Artigo
Jazyk:Inglês
Vydáno: 2008
Témata:
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC2853771/
https://ncbi.nlm.nih.gov/pubmed/18650105
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.neuroimage.2008.05.008
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