Independent vector analysis for common subspace analysis: Application to multi-subject fMRI data yields meaningful subgroups of schizophrenia - Long, Qunfang; Bhinge, Suchita; Calhoun, Vince D.; Adali, Tülay (NeuroImage (Orlando, Fla.), 2020)
Keywords: Adult; Brain - diagnostic imaging; Brain - physiopathology; Brain mapping; Computer Simulation; Connectome - methods; Connectome - standards; Data analysis; Datasets; Female; Functional magnetic resonance imaging; Heterogeneity of schizophrenia; Humans; Identification; Independent vector analysis; Magnetic Resonance Imaging - methods; Magnetic Resonance Imaging - standards; Male; Medical imaging; Mental disorders; Middle Aged; Multi-subject medical imaging data; Nerve Net - diagnostic imaging; Nerve Net - physiopathology; Neuroimaging; Normal distribution; Schizophrenia; Schizophrenia - diagnostic imaging; Schizophrenia - physiopathology; Statistical analysis; Subspace analysis; Variables; Functional magnetic resonance imaging; Multi-subject medical imaging data; Independent vector analysis; Subspace analysis; Heterogeneity of schizophrenia