Speech graph analysis in obsessive-compulsive disorder: the relevance of dream reports

Detalhes bibliográficos
Autor(a) principal: Gomes, Matilde
Data de Publicação: 2023
Outros Autores: Pérez, Maria Picó, Castro, Inês, Moreira, Pedro, Ribeiro, Sidarta Tollendal Gomes, Mota, Natália Bezerra, Morgado, Pedro
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFRN
Texto Completo: https://repositorio.ufrn.br/handle/123456789/52023
Resumo: Obsessive-compulsive disorder (OCD) is a distressing disorder characterized by the presence of intrusive thoughts, images or urges (obsessions) and/or behavioral efforts to reduce the anxiety (compulsions). OCD lifetime prevalence varies between 1% and 3% in the general population and there are no reliable markers that support the diagnosis. In order to fill this gap, Computational Psychiatry employs multiple types of quantitative analyses to improve the understanding, diagnosis, prediction, and treatment of mental illnesses including OCD. One of these computational tools is speech graphs analysis. A graph represents a network of nodes connected by edges: in non-semantic speech graphs, nodes correspond to words and edges correspond to the directed link between consecutive words. Using non-semantic speech graphs, we compared free speech samples from OCD patients and healthy controls (HC), to test whether speech graphs analysis can grasp structural differences in speech between these groups. To this end, 39 OCD patients and 37 HC were interviewed and recorded during six types of speech reports: yesterday, dream, old memory, positive image, negative image and neutral image. Also, the Obsessive-Compulsive Inventory-Revised (OCI-R) and the Yale Brown Obsessive-Compulsive Scale (Y-BOCS) were used to assess symptom severity. The graph-theoretical structural analysis of dream reports showed that OCD patients have significantly smaller lexical diversity, lower speech connectedness and a higher recurrence of words in comparison with HC. The other five report types failed to show differences between the groups, adding to the notion that dream reports are especially informative of speech structure in different psychiatric states. Further investigation is necessary to completely assess the potential of this tool in OCD
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spelling Gomes, MatildePérez, Maria PicóCastro, InêsMoreira, PedroRibeiro, Sidarta Tollendal GomesMota, Natália BezerraMorgado, Pedro2023-04-04T13:29:56Z2023-04-04T13:29:56Z2023-03GOMES, Matilde; PÉREZ, Maria Picó; CASTRO, Inês; MOREIRA, Pedro; RIBEIRO, Sidarta; MOTA, Natália B.; MORGADO, Pedro. Speech graph analysis in obsessive-compulsive disorder: the relevance of dream reports. Journal of Psychiatric Research, [S. l.], v. 161, p. 358-363, maio 2023. Doi: http://dx.doi.org/10.1016/j.jpsychires.2023.03.035. Disponível em: https://www.sciencedirect.com/science/article/pii/S0022395623001541. Acesso em: 04 abr. 2023.https://repositorio.ufrn.br/handle/123456789/5202310.1016/j.jpsychires.2023.03.035Elsevier BVAtribuição 3.0 Brasilhttp://creativecommons.org/licenses/by/3.0/br/info:eu-repo/semantics/openAccessDreamsGraph analysisObsessive-compulsive disorderSpeechSpeech graph analysis in obsessive-compulsive disorder: the relevance of dream reportsinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleObsessive-compulsive disorder (OCD) is a distressing disorder characterized by the presence of intrusive thoughts, images or urges (obsessions) and/or behavioral efforts to reduce the anxiety (compulsions). OCD lifetime prevalence varies between 1% and 3% in the general population and there are no reliable markers that support the diagnosis. In order to fill this gap, Computational Psychiatry employs multiple types of quantitative analyses to improve the understanding, diagnosis, prediction, and treatment of mental illnesses including OCD. One of these computational tools is speech graphs analysis. A graph represents a network of nodes connected by edges: in non-semantic speech graphs, nodes correspond to words and edges correspond to the directed link between consecutive words. Using non-semantic speech graphs, we compared free speech samples from OCD patients and healthy controls (HC), to test whether speech graphs analysis can grasp structural differences in speech between these groups. To this end, 39 OCD patients and 37 HC were interviewed and recorded during six types of speech reports: yesterday, dream, old memory, positive image, negative image and neutral image. Also, the Obsessive-Compulsive Inventory-Revised (OCI-R) and the Yale Brown Obsessive-Compulsive Scale (Y-BOCS) were used to assess symptom severity. The graph-theoretical structural analysis of dream reports showed that OCD patients have significantly smaller lexical diversity, lower speech connectedness and a higher recurrence of words in comparison with HC. The other five report types failed to show differences between the groups, adding to the notion that dream reports are especially informative of speech structure in different psychiatric states. 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dc.title.pt_BR.fl_str_mv Speech graph analysis in obsessive-compulsive disorder: the relevance of dream reports
title Speech graph analysis in obsessive-compulsive disorder: the relevance of dream reports
spellingShingle Speech graph analysis in obsessive-compulsive disorder: the relevance of dream reports
Gomes, Matilde
Dreams
Graph analysis
Obsessive-compulsive disorder
Speech
title_short Speech graph analysis in obsessive-compulsive disorder: the relevance of dream reports
title_full Speech graph analysis in obsessive-compulsive disorder: the relevance of dream reports
title_fullStr Speech graph analysis in obsessive-compulsive disorder: the relevance of dream reports
title_full_unstemmed Speech graph analysis in obsessive-compulsive disorder: the relevance of dream reports
title_sort Speech graph analysis in obsessive-compulsive disorder: the relevance of dream reports
author Gomes, Matilde
author_facet Gomes, Matilde
Pérez, Maria Picó
Castro, Inês
Moreira, Pedro
Ribeiro, Sidarta Tollendal Gomes
Mota, Natália Bezerra
Morgado, Pedro
author_role author
author2 Pérez, Maria Picó
Castro, Inês
Moreira, Pedro
Ribeiro, Sidarta Tollendal Gomes
Mota, Natália Bezerra
Morgado, Pedro
author2_role author
author
author
author
author
author
dc.contributor.author.fl_str_mv Gomes, Matilde
Pérez, Maria Picó
Castro, Inês
Moreira, Pedro
Ribeiro, Sidarta Tollendal Gomes
Mota, Natália Bezerra
Morgado, Pedro
dc.subject.por.fl_str_mv Dreams
Graph analysis
Obsessive-compulsive disorder
Speech
topic Dreams
Graph analysis
Obsessive-compulsive disorder
Speech
description Obsessive-compulsive disorder (OCD) is a distressing disorder characterized by the presence of intrusive thoughts, images or urges (obsessions) and/or behavioral efforts to reduce the anxiety (compulsions). OCD lifetime prevalence varies between 1% and 3% in the general population and there are no reliable markers that support the diagnosis. In order to fill this gap, Computational Psychiatry employs multiple types of quantitative analyses to improve the understanding, diagnosis, prediction, and treatment of mental illnesses including OCD. One of these computational tools is speech graphs analysis. A graph represents a network of nodes connected by edges: in non-semantic speech graphs, nodes correspond to words and edges correspond to the directed link between consecutive words. Using non-semantic speech graphs, we compared free speech samples from OCD patients and healthy controls (HC), to test whether speech graphs analysis can grasp structural differences in speech between these groups. To this end, 39 OCD patients and 37 HC were interviewed and recorded during six types of speech reports: yesterday, dream, old memory, positive image, negative image and neutral image. Also, the Obsessive-Compulsive Inventory-Revised (OCI-R) and the Yale Brown Obsessive-Compulsive Scale (Y-BOCS) were used to assess symptom severity. The graph-theoretical structural analysis of dream reports showed that OCD patients have significantly smaller lexical diversity, lower speech connectedness and a higher recurrence of words in comparison with HC. The other five report types failed to show differences between the groups, adding to the notion that dream reports are especially informative of speech structure in different psychiatric states. Further investigation is necessary to completely assess the potential of this tool in OCD
publishDate 2023
dc.date.accessioned.fl_str_mv 2023-04-04T13:29:56Z
dc.date.available.fl_str_mv 2023-04-04T13:29:56Z
dc.date.issued.fl_str_mv 2023-03
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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dc.identifier.citation.fl_str_mv GOMES, Matilde; PÉREZ, Maria Picó; CASTRO, Inês; MOREIRA, Pedro; RIBEIRO, Sidarta; MOTA, Natália B.; MORGADO, Pedro. Speech graph analysis in obsessive-compulsive disorder: the relevance of dream reports. Journal of Psychiatric Research, [S. l.], v. 161, p. 358-363, maio 2023. Doi: http://dx.doi.org/10.1016/j.jpsychires.2023.03.035. Disponível em: https://www.sciencedirect.com/science/article/pii/S0022395623001541. Acesso em: 04 abr. 2023.
dc.identifier.uri.fl_str_mv https://repositorio.ufrn.br/handle/123456789/52023
dc.identifier.doi.none.fl_str_mv 10.1016/j.jpsychires.2023.03.035
identifier_str_mv GOMES, Matilde; PÉREZ, Maria Picó; CASTRO, Inês; MOREIRA, Pedro; RIBEIRO, Sidarta; MOTA, Natália B.; MORGADO, Pedro. Speech graph analysis in obsessive-compulsive disorder: the relevance of dream reports. Journal of Psychiatric Research, [S. l.], v. 161, p. 358-363, maio 2023. Doi: http://dx.doi.org/10.1016/j.jpsychires.2023.03.035. Disponível em: https://www.sciencedirect.com/science/article/pii/S0022395623001541. Acesso em: 04 abr. 2023.
10.1016/j.jpsychires.2023.03.035
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