Literature DB >> 29153448

Evidence of disturbances of deep levels of semantic cohesion within personal narratives in schizophrenia.

Jon A Willits1, Timothy Rubin2, Michael N Jones2, Kyle S Minor3, Paul H Lysaker4.   

Abstract

Since initial conceptualizations, schizophrenia has been thought to involve core disturbances in the ability to form complex, integrated ideas. Although this has been studied in terms of formal thought disorder, the level of involvement of altered latent semantic structure is less clear. To explore this question, we compared the personal narratives of adults with schizophrenia (n=200) to those produced by an HIV+ sample (n=55) using selected indices from Coh-Metrix. Coh-Metrix is a software system designed to compute various language usage statistics from transcribed written and spoken language documents. It differs from many other frequency-based systems in that Coh-Metrix measures a wide range of language processes, ranging from basic descriptors (e.g., total words) to indices assessing more sophisticated processes within sentences, between sentences, and across paragraphs (e.g., deep cohesion). Consistent with predictions, the narratives in schizophrenia exhibited less cohesion even after controlling for age and education. Specifically, the schizophrenia group spoke fewer words, demonstrated less connection between ideas and clauses, provided fewer causal/intentional markers, and displayed lower levels of deep cohesion. A classification model using only Coh-Metrix indices found language markers correctly classified participants in nearly three-fourths of cases. These findings suggest a particular pattern of difficulties cohesively connecting thoughts about oneself and the world results in a perceived lack of coherence in schizophrenia. These results are consistent with Bleuler's model of schizophrenia and offer a novel way to understand and measure alterations in thought and speech over time. Published by Elsevier B.V.

Entities:  

Keywords:  Cohesion; Language; Narrative; Schizophrenia; Self; Thought disorder

Mesh:

Year:  2017        PMID: 29153448     DOI: 10.1016/j.schres.2017.11.014

Source DB:  PubMed          Journal:  Schizophr Res        ISSN: 0920-9964            Impact factor:   4.939


  7 in total

1.  An evolutionary account of impairment of self in cognitive disorders.

Authors:  Antonio Benítez-Burraco; Ines Adornetti; Francesco Ferretti; Ljiljana Progovac
Journal:  Cogn Process       Date:  2022-09-30

2.  Natural language processing methods are sensitive to sub-clinical linguistic differences in schizophrenia spectrum disorders.

Authors:  Reno Kriz; Sunghye Cho; Sunny X Tang; Suh Jung Park; Jenna Harowitz; Raquel E Gur; Mahendra T Bhati; Daniel H Wolf; João Sedoc; Mark Y Liberman
Journal:  NPJ Schizophr       Date:  2021-05-14

3.  Deictic Navigation Network: Linguistic Viewpoint Disturbances in Schizophrenia.

Authors:  Linde van Schuppen; Kobie van Krieken; José Sanders
Journal:  Front Psychol       Date:  2019-07-24

4.  A review of autobiographical memory studies on patients with schizophrenia spectrum disorders.

Authors:  Yujia Zhang; Sara K Kuhn; Laura Jobson; Shamsul Haque
Journal:  BMC Psychiatry       Date:  2019-11-14       Impact factor: 3.630

5.  The impact of differences in text segmentation on the automated quantitative evaluation of song-lyrics.

Authors:  Friederike Tegge; Katharina Parry
Journal:  PLoS One       Date:  2020-11-09       Impact factor: 3.240

Review 6.  Narrative identity in the psychosis spectrum: A systematic review and developmental model.

Authors:  Henry R Cowan; Vijay A Mittal; Dan P McAdams
Journal:  Clin Psychol Rev       Date:  2021-07-10

7.  Semantic Search in Psychosis: Modeling Local Exploitation and Global Exploration.

Authors:  Nancy B Lundin; Peter M Todd; Michael N Jones; Johnathan E Avery; Brian F O'Donnell; William P Hetrick
Journal:  Schizophr Bull Open       Date:  2020-04-20
  7 in total

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