Preserving Subject Variability in Group fMRI Analysis: Performance Evaluation of GICA versus IVA

Preserving Subject Variability in Group fMRI Analysis: Performance Evaluation of GICA versus 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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Bibliographic Details
Main Authors: Andrew eMichael, Mathew eAnderson, Robyn eMiller, Tülay eAdalı, Vince D Calhoun
Format: Article
Language:English
Published: Frontiers Media S.A. 2014-06-01
Series:Frontiers in Systems Neuroscience
Subjects:
fMRI
functional connectivity
Group ICA method
Brain network analysis
independent vector analysis
Online Access:http://journal.frontiersin.org/Journal/10.3389/fnsys.2014.00106/full

Internet

http://journal.frontiersin.org/Journal/10.3389/fnsys.2014.00106/full

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