Preserving subject variability in group fMRI analysis: performance evaluation of GICA vs. IVA

Independent component analysis (ICA) is a widely applied technique to derive functionally connected brain networks from fMRI data. Group ICA (GICA) and Independent Vector Analysis (IVA) are extensions of ICA that enable users to perform group fMRI analyses; however a full comparison of the performan...

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Detalles Bibliográficos
Main Authors: Michael, Andrew M., Anderson, Mathew, Miller, Robyn L., Adalı, Tülay, Calhoun, Vince D.
Formato: Artigo
Idioma:Inglês
Publicado: Frontiers Media S.A. 2014
Assuntos:
Neuroscience
Acceso en liña:https://ncbi.nlm.nih.gov/pmc/articles/PMC4071815/
https://ncbi.nlm.nih.gov/pubmed/25018704
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnsys.2014.00106
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