Work

A CCA+ICA based model for multi-task brain imaging data fusion and its application to schizophrenia

Year: 2010

Type: article

Source: NeuroImage

DOI: 10.1016/j.neuroimage.2010.01.069

Authors: Jing Sui, Tülay Adali, Godfrey Pearlson, Honghui Yang, Scott R. Sponheim, Tonya White, Vince D. Calhoun

Institutions: Mind Research Network, University of Maryland, Baltimore County, Yale University, University of New Mexico, Northwestern Polytechnical University, University of Minnesota, Minneapolis VA Medical Center, Erasmus MC

Language: English

Topic: Blind Source Separation Techniques

Subfield: Signal Processing

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: green

Funders: National Institutes of Health, National Institute of Mental Health, National Institute of Biomedical Imaging and Bioengineering

Awards: G1683778573, Unified multivariate data-driven solutions for static and dynamic brain connectivity, G208937423, G2458313802, QUANTITATIVE STRUCTURAL NEUROIMAGING IN PSYCHOSIS, G3280918057, Informed Data-Driven Fusion of Behavior, Brain Function, and Genes, G4502609331, G595497569, G6554345161, 3/5 Bipolar-Schizophrenia Network for Intermediate Phenotypes 2 (BSNIP-2), G9000018861, G9000020960, G9000166163, G9000181967, G923377848

OpenAlex ID: W2003449088

FWCI: 8.349

Cites: 61

Cited by: 95

Related to: 10