Linking language features to clinical symptoms and multimodal imaging in individuals at clinical high risk for psychosis.

ABSTRACT:

Background

Abnormalities in the semantic and syntactic organization of speech have been reported in individuals at clinical high-risk (CHR) for psychosis. The current study seeks to examine whether such abnormalities are associated with changes in brain structure and functional connectivity in CHR individuals.

Methods

Automated natural language processing analysis was applied to speech samples obtained from 46 CHR and 22 healthy individuals. Brain structural and resting-state functional imaging data were also acquired from all participants. Sparse canonical correlation analysis (sCCA) was used to ascertain patterns of covariation between linguistic features, clinical symptoms, and measures of brain morphometry and functional connectivity related to the language network.

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SUBMITTER: Haas SS 

PROVIDER: S-EPMC7443790 | biostudies-literature | 2020 Aug

REPOSITORIES: biostudies-literature