Non-verbal speech cues as objective measures for negative symptoms in patients with schizophrenia

Negative symptoms in schizophrenia are associated with significant burden and possess little to no robust treatments in clinical practice today. One key obstacle impeding the development of better treatment methods is the lack of an objective measure. Since negative symptoms almost always adversely...

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Veröffentlicht in:PloS one 2019-04, Vol.14 (4), p.e0214314-e0214314
Hauptverfasser: Tahir, Yasir, Yang, Zixu, Chakraborty, Debsubhra, Thalmann, Nadia, Thalmann, Daniel, Maniam, Yogeswary, Binte Abdul Rashid, Nur Amirah, Tan, Bhing-Leet, Lee Chee Keong, Jimmy, Dauwels, Justin
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container_title PloS one
container_volume 14
creator Tahir, Yasir
Yang, Zixu
Chakraborty, Debsubhra
Thalmann, Nadia
Thalmann, Daniel
Maniam, Yogeswary
Binte Abdul Rashid, Nur Amirah
Tan, Bhing-Leet
Lee Chee Keong, Jimmy
Dauwels, Justin
description Negative symptoms in schizophrenia are associated with significant burden and possess little to no robust treatments in clinical practice today. One key obstacle impeding the development of better treatment methods is the lack of an objective measure. Since negative symptoms almost always adversely affect speech production in patients, speech dysfunction have been considered as a viable objective measure. However, researchers have mostly focused on the verbal aspects of speech, with scant attention to the non-verbal cues in speech. In this paper, we have explored non-verbal speech cues as objective measures of negative symptoms of schizophrenia. We collected an interview corpus of 54 subjects with schizophrenia and 26 healthy controls. In order to validate the non-verbal speech cues, we computed the correlation between these cues and the NSA-16 ratings assigned by expert clinicians. Significant correlations were obtained between these non-verbal speech cues and certain NSA indicators. For instance, the correlation between Turn Duration and Restricted Speech is -0.5, Response time and NSA Communication is 0.4, therefore indicating that poor communication is reflected in the objective measures, thus validating our claims. Moreover, certain NSA indices can be classified into observable and non-observable classes from the non-verbal speech cues by means of supervised classification methods. In particular the accuracy for Restricted speech quantity and Prolonged response time are 80% and 70% respectively. We were also able to classify healthy and patients using non-verbal speech features with 81.3% accuracy.
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One key obstacle impeding the development of better treatment methods is the lack of an objective measure. Since negative symptoms almost always adversely affect speech production in patients, speech dysfunction have been considered as a viable objective measure. However, researchers have mostly focused on the verbal aspects of speech, with scant attention to the non-verbal cues in speech. In this paper, we have explored non-verbal speech cues as objective measures of negative symptoms of schizophrenia. We collected an interview corpus of 54 subjects with schizophrenia and 26 healthy controls. In order to validate the non-verbal speech cues, we computed the correlation between these cues and the NSA-16 ratings assigned by expert clinicians. Significant correlations were obtained between these non-verbal speech cues and certain NSA indicators. For instance, the correlation between Turn Duration and Restricted Speech is -0.5, Response time and NSA Communication is 0.4, therefore indicating that poor communication is reflected in the objective measures, thus validating our claims. Moreover, certain NSA indices can be classified into observable and non-observable classes from the non-verbal speech cues by means of supervised classification methods. In particular the accuracy for Restricted speech quantity and Prolonged response time are 80% and 70% respectively. 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subjects Accuracy
Adult
Analysis
Artificial intelligence
Automation
Biology and Life Sciences
Clinical medicine
Communication
Computer and Information Sciences
Correlation
Cues
Diagnosis
Emotional behavior
Engineering and Technology
Female
Humans
International conferences
Male
Medicine and Health Sciences
Mental disorders
Mental health care
Natural language processing
Nonverbal communication
Patients
People and Places
Physical Sciences
Psychiatry
Psychological aspects
Researchers
Response time
Schizophrenia
Schizophrenia - physiopathology
Signal processing
Signs and symptoms
Social Sciences
Speech
Speech - physiology
Surveys and Questionnaires
title Non-verbal speech cues as objective measures for negative symptoms in patients with schizophrenia
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