2022
DOI: 10.1111/eip.13357
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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 affectiv… Show more

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