Semi-blind ICA of fMRI: A method for utilizing hypothesis-derived time courses in a spatial ICA analysis
Calhoun VD, Adali T, Stevens MC, Kiehl KA, Pekar JJ. Semi-blind ICA of fMRI: A method for utilizing hypothesis-derived time courses in a spatial ICA analysis. NeuroImage 2005, 25: 527-538. PMID: 15784432, DOI: 10.1016/j.neuroimage.2004.12.012.Peer-Reviewed Original ResearchConceptsPrior informationIndependent component analysisData analysis applicationsSemi-blind independent component analysisData-driven approachThree-stimulus auditory oddball paradigmTemporal constraintsAnalysis applicationsICA analysisTime-course informationFlexible wayPresence of noiseCourse informationRegression approachSimulation resultsBlind source separation techniqueExplicit constraintsFlexible modeling approachFMRI dataSource separation techniquesInformationUseful applicationsHigher order statistical momentsModeling approachNegative associates