Bianciardi, Bianca; Gajwani, Ruchika; Gross, Joachim; Gumley, Andrew I; Lawrie, Stephen M; Moelling, Melina; Schwannauer, Matthias; Schultze-Lutter, Frauke; Fracasso, Alessio; Uhlhaas, Peter J (2023). Investigating temporal and prosodic markers in clinical high-risk for psychosis participants using automated acoustic analysis. Early intervention in psychiatry, 17(3), pp. 327-330. Wiley 10.1111/eip.13357
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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.
Item Type: |
Journal Article (Original Article) |
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Division/Institute: |
04 Faculty of Medicine > University Psychiatric Services > University Hospital of Child and Adolescent Psychiatry and Psychotherapy > Research Division 04 Faculty of Medicine > University Psychiatric Services > University Hospital of Child and Adolescent Psychiatry and Psychotherapy |
UniBE Contributor: |
Schultze-Lutter, Frauke |
Subjects: |
600 Technology > 610 Medicine & health |
ISSN: |
1751-7893 |
Publisher: |
Wiley |
Language: |
English |
Submitter: |
Pubmed Import |
Date Deposited: |
10 Oct 2022 14:32 |
Last Modified: |
21 Mar 2023 00:12 |
Publisher DOI: |
10.1111/eip.13357 |
PubMed ID: |
36205386 |
Uncontrolled Keywords: |
automated acoustic analysis clinical high-risk early psychosis prosody speech |
BORIS DOI: |
10.48350/173592 |
URI: |
https://boris.unibe.ch/id/eprint/173592 |
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