Comparison of IVA and GIG-ICA in Brain Functional Network Estimation Using fMRI Data

Comparison of IVA and GIG-ICA in Brain Functional Network Estimation Using fMRI Data

Spatial group independent component analysis (GICA) methods decompose multiple-subject functional magnetic resonance imaging (fMRI) data into a linear mixture of spatially independent components (ICs), some of which are subsequently characterized as brain functional networks. Group information guide...

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Bibliographic Details
Main Authors: Yuhui Du, Dongdong Lin, Qingbao Yu, Jing Sui, Jiayu Chen, Srinivas Rachakonda, Tulay Adali, Vince D. Calhoun
Format: Article
Language:English
Published: Frontiers Media S.A. 2017-05-01
Series:Frontiers in Neuroscience
Subjects:
functional magnetic resonance imaging (fMRI)
brain functional networks
independent component analysis (ICA)
group information guided ICA (GIG-ICA)
independent vector analysis (IVA)
Online Access:http://journal.frontiersin.org/article/10.3389/fnins.2017.00267/full

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