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Dataset Information

Investigating temporal and prosodic markers in clinical high-risk for psychosis participants using automated acoustic analysis.


ABSTRACT:

Aim

Language disturbances are a candidate biomarker for the early detection of psychosis. Temporal and prosodic abnormalities have been observed in schizophrenia patients, while there is conflicting evidence whether such deficits are present in participants meeting clinical high-risk for psychosis (CHR-P) criteria.

Methods

Clinical interviews from CHR-P participants (n = 50) were examined for temporal and prosodic metrics and compared against a group of healthy controls (n = 17) and participants with affective disorders and substance abuse (n = 23).

Results

There were no deficits in acoustic variables in the CHR-P group, while participants with affective disorders/substance abuse were characterized by slower speech rate, longer pauses and higher unvoiced frames percen

SUBMITTER: Bianciardi B 

PROVIDER: S-EPMC10946925 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature