Literature DB >> 33936508

The Centroid Cannot Hold: Comparing Sequential and Global Estimates of Coherence as Indicators of Formal Thought Disorder.

Weizhe Xu1, Jake Portanova1, Ayesha Chander2, Dror Ben-Zeev1, Trevor Cohen1.   

Abstract

Thought disorder (TD) as reflected in incoherent speech is a cardinal symptom of schizophrenia and related disorders. Quantification of the degree ofTD can inform diagnosis, monitoring, and timely intervention. Consequently, there has been an interest in applying methods ofdistributional semantics to quantify incoherence ofspoken language. Prior studies have generally involved few participants and utilized speech data collected in on-site structured interviews. In this paper we conduct a comprehensive evaluation ofapproaches to quantify incoherence using distributional semantics, including a novel variant that measures the global coherence oftext. This evaluation is conducted in the context of "audio diaries" collected from participants experiencing auditory verbal hallucinations using a smartphone application. Results reveal our novel global coherence metric using the centroid (weighted vector average) outperforms established approaches in their agreement with human annotators, supporting their preferential use in the context of short recordings ofunstructured and largely spontaneous speech. ©2020 AMIA - All rights reserved.

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Year:  2021        PMID: 33936508      PMCID: PMC8075468     

Source DB:  PubMed          Journal:  AMIA Annu Symp Proc        ISSN: 1559-4076


  22 in total

1.  An automated method to analyze language use in patients with schizophrenia and their first-degree relatives.

Authors:  Brita Elvevåg; Peter W Foltz; Mark Rosenstein; Lynn E Delisi
Journal:  J Neurolinguistics       Date:  2010-05-01       Impact factor: 1.710

2.  Improving outcomes of first-episode psychosis: an overview.

Authors:  Paolo Fusar-Poli; Patrick D McGorry; John M Kane
Journal:  World Psychiatry       Date:  2017-10       Impact factor: 49.548

Review 3.  Global coherence during discourse production in adults: a review of the literature.

Authors:  Charles Ellis; Amy Henderson; Heather Harris Wright; Yvonne Rogalski
Journal:  Int J Lang Commun Disord       Date:  2016-02-22       Impact factor: 3.020

4.  Thought disorder and psychosocial functioning in schizophrenia: the concurrent and predictive relationships.

Authors:  J M Racenstein; D Penn; M Harrow; R Schleser
Journal:  J Nerv Ment Dis       Date:  1999-05       Impact factor: 2.254

5.  Quantifying incoherence in speech: an automated methodology and novel application to schizophrenia.

Authors:  Brita Elvevåg; Peter W Foltz; Daniel R Weinberger; Terry E Goldberg
Journal:  Schizophr Res       Date:  2007-04-16       Impact factor: 4.939

6.  Two new scales of formal thought disorder in schizophrenia.

Authors:  Alvaro Barrera; Peter J McKenna; German E Berrios
Journal:  Psychiatry Res       Date:  2007-11-07       Impact factor: 3.222

7.  Thought, language, and communication in schizophrenia: diagnosis and prognosis.

Authors:  N C Andreasen; W M Grove
Journal:  Schizophr Bull       Date:  1986       Impact factor: 9.306

Review 8.  Auditory verbal hallucinations and continuum models of psychosis: A systematic review of the healthy voice-hearer literature.

Authors:  David Baumeister; Ottilie Sedgwick; Oliver Howes; Emmanuelle Peters
Journal:  Clin Psychol Rev       Date:  2016-11-01

9.  A machine learning approach to predicting psychosis using semantic density and latent content analysis.

Authors:  Neguine Rezaii; Elaine Walker; Phillip Wolff
Journal:  NPJ Schizophr       Date:  2019-06-13

Review 10.  Auditory verbal hallucinations in persons with and without a need for care.

Authors:  Louise C Johns; Kristiina Kompus; Melissa Connell; Clara Humpston; Tania M Lincoln; Eleanor Longden; Antonio Preti; Ben Alderson-Day; Johanna C Badcock; Matteo Cella; Charles Fernyhough; Simon McCarthy-Jones; Emmanuelle Peters; Andrea Raballo; James Scott; Sara Siddi; Iris E Sommer; Frank Larøi
Journal:  Schizophr Bull       Date:  2014-07       Impact factor: 9.306

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  1 in total

1.  Fully automated detection of formal thought disorder with Time-series Augmented Representations for Detection of Incoherent Speech (TARDIS).

Authors:  Weizhe Xu; Weichen Wang; Jake Portanova; Ayesha Chander; Andrew Campbell; Serguei Pakhomov; Dror Ben-Zeev; Trevor Cohen
Journal:  J Biomed Inform       Date:  2022-01-19       Impact factor: 6.317

  1 in total

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