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ABSTRACT: Background
Schizophrenia is a brain disorder characterized by diffuse, diverse, and wide-spread changes in gray matter volume (GM) and white matter structure (fractional anisotropy, FA), as well as cognitive impairments that greatly impact an individual's quality of life. While the relationship of each of these image modalities and their links to schizophrenia status and cognitive impairment has been investigated separately, a multimodal fusion via parallel independent component analysis (pICA) affords the opportunity to explore the relationships between the changes in GM and FA, and the implications these network changes have on cognitive performance.Methods
Images from 73 subjects with schizophrenia (SZ) and 82 healthy controls (HC) were drawn from an existing data
SUBMITTER: Jensen DM
PROVIDER: S-EPMC8811375 | biostudies-literature | 2021
REPOSITORIES: biostudies-literature