Comparative analysis of group information-guided independent component analysis and independent vector analysis for assessing brain functional network characteristics in autism spectrum disorder

Comparative analysis of group information-guided independent component analysis and independent vector analysis for assessing brain functional network characteristics in autism spectrum disorder

IntroductionGroup information-guided independent component analysis (GIG-ICA) and independent vector analysis (IVA) are two methods that improve estimation of subject-specific independent components in neuroimaging studies. These methods have shown better performance than traditional group independe...

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Bibliographic Details
Main Authors: Junlin Jing, Benjamin Klugah-Brown, Shiyu Xia, Min Sheng, Bharat B. Biswal
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-10-01
Series:Frontiers in Neuroscience
Subjects:
autism spectrum disorder
resting-state fMRI
intersubject variability
functional network connectivity
prediction
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2023.1252732/full

Internet

https://www.frontiersin.org/articles/10.3389/fnins.2023.1252732/full

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