Bianciardi B, Gajwani R, Gross J, Gumley AI, Lawrie SM, Moelling M, Schwannauer M, Schultze‐Lutter F, Fracasso A, Uhlhaas PJ. Investigating temporal and prosodic markers in clinical high-risk for psychosis participants using automated acoustic analysis.
Early Interv Psychiatry 2023;
17:327-330. [PMID:
36205386 PMCID:
PMC10946925 DOI:
10.1111/eip.13357]
[Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Revised: 05/14/2022] [Accepted: 09/18/2022] [Indexed: 11/27/2022]
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 percentage.
CONCLUSION
Our finding suggests that temporal and prosodic aspects of speech are not impaired in early-stage psychosis. Further studies are required to clarify whether such abnormalities are present in sub-groups of CHR-P participants with elevated psychosis-risk.
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