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Modeling Incoherent Discourse in Non-Affective Psychosis ...
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Just, Sandra A.; Haegert, Erik; Kořánová, Nora; Bröcker, Anna-Lena; Nenchev, Ivan; Funcke, Jakob; Heinz, Andreas; Bermpohl, Felix; Stede, Manfred; Montag, Christiane. - : Charité - Universitätsmedizin Berlin, 2020
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Abstract:
Background: Computational linguistic methodology allows quantification of speech abnormalities in non-affective psychosis. For this patient group, incoherent speech has long been described as a symptom of formal thought disorder. Our study is an interdisciplinary attempt at developing a model of incoherence in non-affective psychosis, informed by computational linguistic methodology as well as psychiatric research, which both conceptualize incoherence as associative loosening. The primary aim of this pilot study was methodological: to validate the model against clinical data and reduce bias in automated coherence analysis. Methods: Speech samples were obtained from patients with a diagnosis of schizophrenia or schizoaffective disorder, who were divided into two groups of n = 20 subjects each, based on different clinical ratings of positive formal thought disorder, and n = 20 healthy control subjects. Results: Coherence metrics that were automatically derived from interview transcripts significantly predicted ...
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Keyword:
600 Technik, Medizin, angewandte Wissenschaften610 Medizin und Gesundheit610 Medizin und Gesundheit; automated analysis; coherence; psychosis; schizophrenia; speech; thought disorder
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URL: https://refubium.fu-berlin.de/handle/fub188/29453
https://dx.doi.org/10.17169/refubium-29199
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Modeling Incoherent Discourse in Non-Affective Psychosis
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In: Front Psychiatry (2020)
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