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 Provide a Quantitative Measure of Thought Disorder in Psychosis

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dc.contributor.author	Natalia B. Mota
dc.contributor.author	Nivaldo A. P. Vasconcelos
dc.contributor.author	Nathalia Lemos
dc.contributor.author	Ana C. Pieretti
dc.contributor.author	Osame Kinouchi
dc.contributor.author	Guillermo A. Cecchi
dc.contributor.author	Mauro Copelli
dc.contributor.author	Ribeiro, Sidarta Tollendal Gomes
dc.date.accessioned	2017-05-31T13:24:30Z
dc.date.available	2017-05-31T13:24:30Z
dc.date.issued	2012-04-09
dc.description.resumo	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.	pt_BR
dc.identifier.issn	1932-6203
dc.identifier.uri	https://repositorio.ufrn.br/jspui/handle/123456789/23273
dc.language	eng	pt_BR
dc.rights	Acesso Aberto	pt_BR
dc.subject	Speech Graphs	pt_BR
dc.subject	Psychosis	pt_BR
dc.title	Speech Graphs Provide a Quantitative Measure of Thought Disorder in Psychosis	pt_BR
dc.type	article	pt_BR