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Article

A review of group ICA for fMRI data and ICA for joint inference of imaging, genetic, and ERP data.

NeuroImage - 1 Mar 2009

Calhoun Vince D, Liu Jingyu, Adali Tülay

Abstract excerpt

Independent component analysis (ICA) has become an increasingly utilized approach for analyzing brain imaging data. In contrast to the widely used general linear model (GLM) that requires the user to parameterize the data (e.g. the brain's response to stimuli), ICA, by relying upon a general assumption of independence, allows the user to be agnostic regarding the exact form of the response. In addition, ICA is...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 19059344
DOI: 10.1016/j.neuroimage.2008.10.057
PMCID: PMC2651152

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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