Literature DB >> 33600483

Differences in fractal patterns and characteristic periodicities between word salads and normal sentences: Interference of meaning and sound.

Jun Shimizu1, Hiromi Kuwata2, Kazuo Kuwata1.   

Abstract

Fractal dimensions and characteristic periodicities were evaluated in normal sentences, computer-generated word salads, and word salads from schizophrenia patients, in both Japanese and English, using the random walk patterns of vowels. In normal sentences, the walking curves were smooth with gentle undulations, whereas computer-generated word salads were rugged with mechanical repetitions, and word salads from patients with schizophrenia were unreasonably winding with meaningless repetitive patterns or even artistic cohesion. These tendencies were similar in both languages. Fractal dimensions between normal sentences and word salads of schizophrenia were significantly different in Japanese [1.19 ± 0.09 (n = 90) and 1.15 ± 0.08 (n = 45), respectively] and English [1.20 ± 0.08 (n = 91), and 1.16 ± 0.08 (n = 42)] (p < 0.05 for both). Differences in long-range (>10) periodicities between normal sentences and word salads from schizophrenia patients were predominantly observed at 25.6 (p < 0.01) in Japanese and 10.7 (p < 0.01) in English. The differences in fractal dimension and characteristic periodicities of relatively long-range (>10) presented here are sensitive to discriminate between schizophrenia and healthy mental state, and could be implemented in social robots to assess the mental state of people in care.

Entities:  

Year:  2021        PMID: 33600483      PMCID: PMC7891721          DOI: 10.1371/journal.pone.0247133

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


  31 in total

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2.  Thought, language, and communication deficits and association with everyday functional outcomes among community-dwelling middle-aged and older adults with schizophrenia.

Authors:  Anjana Muralidharan; Anastasia Finch; Christopher R Bowie; Philip D Harvey
Journal:  Schizophr Res       Date:  2017-08-01       Impact factor: 4.939

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Authors: 
Journal:  Science       Date:  2010-02-12       Impact factor: 47.728

4.  Frequency of normative word associations in the speech of individuals at familial high-risk for schizophrenia.

Authors:  T C Manschreck; A M Merrill; G Jabbar; J Chun; L E Delisi
Journal:  Schizophr Res       Date:  2012-07-21       Impact factor: 4.939

5.  Rethinking Thought Disorder.

Authors:  Mara Hart; Richard R J Lewine
Journal:  Schizophr Bull       Date:  2017-01-15       Impact factor: 9.306

6.  Grammatical processing in schizophrenia: evidence from morphology.

Authors:  Matthew Walenski; Thomas W Weickert; Christopher J Maloof; Michael T Ullman
Journal:  Neuropsychologia       Date:  2010-01       Impact factor: 3.139

7.  Latent semantic variables are associated with formal thought disorder and adaptive behavior in older inpatients with schizophrenia.

Authors:  Katherine Holshausen; Philip D Harvey; Brita Elvevåg; Peter W Foltz; Christopher R Bowie
Journal:  Cortex       Date:  2013-02-19       Impact factor: 4.027

8.  The Fractal Patterns of Words in a Text: A Method for Automatic Keyword Extraction.

Authors:  Elham Najafi; Amir H Darooneh
Journal:  PLoS One       Date:  2015-06-19       Impact factor: 3.240

9.  The linguistics of schizophrenia: thought disturbance as language pathology across positive symptoms.

Authors:  Wolfram Hinzen; Joana Rosselló
Journal:  Front Psychol       Date:  2015-07-16

10.  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
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