Literature DB >> 9165627

At issue: speech fluency and schizophrenic negative signs.

M Alpert1, A Kotsaftis, E R Pouget.   

Abstract

The spontaneous speech of negative-syndrome schizophrenia patients is underproductive and contains many hesitations and pauses. Acoustic analysis of the patient's speech during interview reveals that the duration of pauses, independent of other linguistic or paralinguistic measures, correlates strongly with the clinician's impressions of the patient's flat affect and alogia. Pausing is less related to associality and other aspects of the negative syndrome. The hesitations appear to reflect a word-finding difficulty that, together with neuropsychological evidence of compromised performance on word fluency tasks, suggests a specific speech generation difficulty. The significant relationship between pausing and both flat affect and alogia suggests that the two negative signs share phenomenal and psychometric properties. The examination of speech generation mechanisms may provide an informative avenue for study of schizophrenic psychopathology. Acoustic analysis reveals processes that are not apparent to the clinician and may provide a useful basis for clinical assessments and research.

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Year:  1997        PMID: 9165627     DOI: 10.1093/schbul/23.2.171

Source DB:  PubMed          Journal:  Schizophr Bull        ISSN: 0586-7614            Impact factor:   9.306


  12 in total

Review 1.  What do we really know about blunted vocal affect and alogia? A meta-analysis of objective assessments.

Authors:  Alex S Cohen; Kyle R Mitchell; Brita Elvevåg
Journal:  Schizophr Res       Date:  2014-09-26       Impact factor: 4.939

2.  Remote capture of human voice acoustical data by telephone: a methods study.

Authors:  Michael S Cannizzaro; Nicole Reilly; James C Mundt; Peter J Snyder
Journal:  Clin Linguist Phon       Date:  2005-12       Impact factor: 1.346

3.  The aprosody of schizophrenia: Computationally derived acoustic phonetic underpinnings of monotone speech.

Authors:  Michael T Compton; Anya Lunden; Sean D Cleary; Luca Pauselli; Yazeed Alolayan; Brooke Halpern; Beth Broussard; Anthony Crisafio; Leslie Capulong; Pierfrancesco Maria Balducci; Francesco Bernardini; Michael A Covington
Journal:  Schizophr Res       Date:  2018-02-12       Impact factor: 4.939

4.  Non-Linear Dynamic Analysis of Inter-Word Time Intervals in Psychotic Speech.

Authors:  Doron Todder; Sofia Avissar; Gabriel Schreiber
Journal:  IEEE J Transl Eng Health Med       Date:  2013-07-12       Impact factor: 3.316

5.  A Psychometric Comparison of the Clinical Assessment Interview for Negative Symptoms and the Brief Negative Symptom Scale.

Authors:  Gregory P Strauss; James M Gold
Journal:  Schizophr Bull       Date:  2016-05-12       Impact factor: 9.306

6.  Vocal expression in schizophrenia: Less than meets the ear.

Authors:  Alex S Cohen; Kyle R Mitchell; Nancy M Docherty; William P Horan
Journal:  J Abnorm Psychol       Date:  2016-02

7.  Automatic language analysis identifies and predicts schizophrenia in first-episode of psychosis.

Authors:  Alicia Figueroa-Barra; Daniel Del Aguila; Mauricio Cerda; Pablo A Gaspar; Lucas D Terissi; Manuel Durán; Camila Valderrama
Journal:  Schizophrenia (Heidelb)       Date:  2022-06-01

8.  Phonetic measures of reduced tongue movement correlate with negative symptom severity in hospitalized patients with first-episode schizophrenia-spectrum disorders.

Authors:  Michael A Covington; S L Anya Lunden; Sarah L Cristofaro; Claire Ramsay Wan; C Thomas Bailey; Beth Broussard; Robert Fogarty; Stephanie Johnson; Shayi Zhang; Michael T Compton
Journal:  Schizophr Res       Date:  2012-10-24       Impact factor: 4.939

Review 9.  Distinct conflict resolution deficits related to different facets of Schizophrenia.

Authors:  John G Kerns
Journal:  Psychol Res       Date:  2008-11-26

10.  Sch-net: a deep learning architecture for automatic detection of schizophrenia.

Authors:  Jia Fu; Sen Yang; Fei He; Ling He; Yuanyuan Li; Jing Zhang; Xi Xiong
Journal:  Biomed Eng Online       Date:  2021-08-03       Impact factor: 2.819

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