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

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          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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          Most cited references28

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          Mapping the Onset of Psychosis: The Comprehensive Assessment of At-Risk Mental States

          Recognizing the prodrome of a first psychotic episode prospectively creates the opportunity of intervention, which could delay, ameliorate or even prevent onset. Valid criteria and a reliable methodology for identifying possible prodromes are needed. This paper describes an instrument, the Comprehensive Assessment of At-Risk Mental States (CAARMS), which has been designed for such a purpose. It has two functions: (i) to assess psychopathology thought to indicate imminent development of a first-episode psychotic disorder; and (ii) to determine if an individual meets criteria for being at ultra high risk (UHR) for onset of first psychotic disorder. This paper describes the pilot evaluation of the CAARMS.
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              Quantifying incoherence in speech: an automated methodology and novel application to schizophrenia.

              Incoherent discourse, with a disjointed flow of ideas, is a cardinal symptom in several psychiatric and neurological conditions. However, measuring incoherence has often been complex and subjective. We sought to validate an objective, intrinsically reliable, computational approach to quantifying speech incoherence. Patients with schizophrenia and healthy control volunteers were administered a variety of language tasks. The speech generated was transcribed and the coherence computed using Latent Semantic Analysis (LSA). The discourse was also analyzed with a standard clinical measure of thought disorder. In word association and generation tasks LSA derived coherence scores were sensitive to differences between patients and controls, and correlated with clinical measures of thought disorder. In speech samples LSA could be used to localize where in sentence production incoherence occurs, predict levels of incoherence as well as whether discourse "belonged" to a patient or control. In conclusion, LSA can be used to assay disordered language production so as to both complement human clinical ratings as well as experimentally parse this incoherence in a theory-driven manner.
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                Author and article information

                Contributors
                peter.uhlhaas@charite.de
                Journal
                Early Interv Psychiatry
                Early Interv Psychiatry
                10.1111/(ISSN)1751-7893
                EIP
                Early Intervention in Psychiatry
                Wiley Publishing Asia Pty Ltd (Melbourne )
                1751-7885
                1751-7893
                07 October 2022
                March 2023
                : 17
                : 3 ( doiID: 10.1111/eip.v17.3 )
                : 327-330
                Affiliations
                [ 1 ] Institute of Neuroscience and Psychology University of Glasgow Glasgow UK
                [ 2 ] School of Health and Wellbeing University of Glasgow Glasgow UK
                [ 3 ] Institute for Biomagnetism and Biosignalanalysis University of Muenster Muenster Germany
                [ 4 ] Department of Psychiatry Univ. of Edinburgh Edinburgh UK
                [ 5 ] Department of Clinical Psychology Univ. of Edinburgh Edinburgh UK
                [ 6 ] Department of Psychiatry and Psychotherapy, Medical Faculty Heinrich Heine University Düsseldorf Germany
                [ 7 ] Department of Psychology, Faculty of Psychology Airlangga University Surabaya Indonesia
                [ 8 ] University Hospital of Child and Adolescent Psychiatry and Psychotherapy University of Bern Bern Switzerland
                [ 9 ] Department of Child and Adolescent Psychiatry Charité Universitätsmedizin Berlin Germany
                Author notes
                [*] [* ] Correspondence

                Peter J. Uhlhaas, Department of Child and Adolescent Psychiatry, Augustenburger Platz 1, Charité Universitätsmedizin, Berlin 13353, Germany.

                Email: peter.uhlhaas@ 123456charite.de

                Author information
                https://orcid.org/0000-0003-0841-4542
                https://orcid.org/0000-0002-1199-320X
                https://orcid.org/0000-0003-1956-9574
                https://orcid.org/0000-0002-0892-2224
                Article
                EIP13357
                10.1111/eip.13357
                10946925
                36205386
                f5f30006-29a9-4acd-9e06-94c180969009
                © 2022 The Authors. Early Intervention in Psychiatry published by John Wiley & Sons Australia, Ltd.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 14 May 2022
                : 10 January 2022
                : 18 September 2022
                Page count
                Figures: 0, Tables: 0, Pages: 4, Words: 3587
                Funding
                Funded by: Medical Research Council , doi 10.13039/501100000265;
                Award ID: L011689
                Funded by: Health Research , doi 10.13039/100005622;
                Categories
                Brief Report
                Brief Reports
                Custom metadata
                2.0
                March 2023
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.3.9 mode:remove_FC converted:18.03.2024

                automated acoustic analysis,clinical high‐risk,early psychosis,prosody,speech

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