Speech Graphs Provide a Quantitative Measure of Thought Disorder in Psychosis

Background: Psychosis has various causes, including mania and schizophrenia. Since the differential diagnosis of psychosis is exclusively based on subjective assessments of oral interviews with patients, an objective quantification of the speech disturbances that characterize mania and schizophren...

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Principais autores: Natalia B. Mota, Nivaldo A. P. Vasconcelos, Nathalia Lemos, Ana C. Pieretti, Osame Kinouchi, Guillermo A. Cecchi, Mauro Copelli, Ribeiro, Sidarta Tollendal Gomes
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Speech Graphs
Psychosis
Endereço do item:https://repositorio.ufrn.br/jspui/handle/123456789/23273
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spelling ri-123456789-232732021-07-10T22:47:13Z Speech Graphs Provide a Quantitative Measure of Thought Disorder in Psychosis Natalia B. Mota Nivaldo A. P. Vasconcelos Nathalia Lemos Ana C. Pieretti Osame Kinouchi Guillermo A. Cecchi Mauro Copelli Ribeiro, Sidarta Tollendal Gomes Speech Graphs Psychosis Background: Psychosis has various causes, including mania and schizophrenia. Since the differential diagnosis of psychosis is exclusively based on subjective assessments of oral interviews with patients, an objective quantification of the speech disturbances that characterize mania and schizophrenia is in order. In principle, such quantification could be achieved by the analysis of speech graphs. A graph represents a network with nodes connected by edges; in speech graphs, nodes correspond to words and edges correspond to semantic and grammatical relationships. Methodology/Principal Findings: To quantify speech differences related to psychosis, interviews with schizophrenics, manics and normal subjects were recorded and represented as graphs. Manics scored significantly higher than schizophrenics in ten graph measures. Psychopathological symptoms such as logorrhea, poor speech, and flight of thoughts were grasped by the analysis even when verbosity differences were discounted. Binary classifiers based on speech graph measures sorted schizophrenics from manics with up to 93.8% of sensitivity and 93.7% of specificity. In contrast, sorting based on the scores of two standard psychiatric scales (BPRS and PANSS) reached only 62.5% of sensitivity and specificity. Conclusions/Significance: The results demonstrate that alterations of the thought process manifested in the speech of psychotic patients can be objectively measured using graph-theoretical tools, developed to capture specific features of the normal and dysfunctional flow of thought, such as divergence and recurrence. The quantitative analysis of speech graphs is not redundant with standard psychometric scales but rather complementary, as it yields a very accurate sorting of schizophrenics and manics. Overall, the results point to automated psychiatric diagnosis based not on what is said, but on how it is said. 2017-05-31T13:24:30Z 2017-05-31T13:24:30Z 2012-04-09 article 1932-6203 https://repositorio.ufrn.br/jspui/handle/123456789/23273 eng Acesso Aberto application/pdf
institution Repositório Institucional
collection RI - UFRN
language eng
topic Speech Graphs
Psychosis
spellingShingle Speech Graphs
Psychosis
Natalia B. Mota
Nivaldo A. P. Vasconcelos
Nathalia Lemos
Ana C. Pieretti
Osame Kinouchi
Guillermo A. Cecchi
Mauro Copelli
Ribeiro, Sidarta Tollendal Gomes
Speech Graphs Provide a Quantitative Measure of Thought Disorder in Psychosis
description Background: Psychosis has various causes, including mania and schizophrenia. Since the differential diagnosis of psychosis is exclusively based on subjective assessments of oral interviews with patients, an objective quantification of the speech disturbances that characterize mania and schizophrenia is in order. In principle, such quantification could be achieved by the analysis of speech graphs. A graph represents a network with nodes connected by edges; in speech graphs, nodes correspond to words and edges correspond to semantic and grammatical relationships. Methodology/Principal Findings: To quantify speech differences related to psychosis, interviews with schizophrenics, manics and normal subjects were recorded and represented as graphs. Manics scored significantly higher than schizophrenics in ten graph measures. Psychopathological symptoms such as logorrhea, poor speech, and flight of thoughts were grasped by the analysis even when verbosity differences were discounted. Binary classifiers based on speech graph measures sorted schizophrenics from manics with up to 93.8% of sensitivity and 93.7% of specificity. In contrast, sorting based on the scores of two standard psychiatric scales (BPRS and PANSS) reached only 62.5% of sensitivity and specificity. Conclusions/Significance: The results demonstrate that alterations of the thought process manifested in the speech of psychotic patients can be objectively measured using graph-theoretical tools, developed to capture specific features of the normal and dysfunctional flow of thought, such as divergence and recurrence. The quantitative analysis of speech graphs is not redundant with standard psychometric scales but rather complementary, as it yields a very accurate sorting of schizophrenics and manics. Overall, the results point to automated psychiatric diagnosis based not on what is said, but on how it is said.
format article
author Natalia B. Mota
Nivaldo A. P. Vasconcelos
Nathalia Lemos
Ana C. Pieretti
Osame Kinouchi
Guillermo A. Cecchi
Mauro Copelli
Ribeiro, Sidarta Tollendal Gomes
author_facet Natalia B. Mota
Nivaldo A. P. Vasconcelos
Nathalia Lemos
Ana C. Pieretti
Osame Kinouchi
Guillermo A. Cecchi
Mauro Copelli
Ribeiro, Sidarta Tollendal Gomes
author_sort Natalia B. Mota
title Speech Graphs Provide a Quantitative Measure of Thought Disorder in Psychosis
title_short Speech Graphs Provide a Quantitative Measure of Thought Disorder in Psychosis
title_full Speech Graphs Provide a Quantitative Measure of Thought Disorder in Psychosis
title_fullStr Speech Graphs Provide a Quantitative Measure of Thought Disorder in Psychosis
title_full_unstemmed Speech Graphs Provide a Quantitative Measure of Thought Disorder in Psychosis
title_sort speech graphs provide a quantitative measure of thought disorder in psychosis
publishDate 2017
url https://repositorio.ufrn.br/jspui/handle/123456789/23273
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AT osamekinouchi speechgraphsprovideaquantitativemeasureofthoughtdisorderinpsychosis
AT guillermoacecchi speechgraphsprovideaquantitativemeasureofthoughtdisorderinpsychosis
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