Bayesian reasoning with emotional material in patients with schizophrenia

dc.contributor.authorRomero Ferreiro, Verónica
dc.contributor.authorSusi García, María Del Rosario
dc.contributor.authorSánchez Morla, Eva María
dc.contributor.authorMarí Beffa, Paloma
dc.contributor.authorRodríguez Gómez, Pablo
dc.contributor.authorAmador Pacheco, Julia
dc.contributor.authorMoreno, Eva M.
dc.contributor.authorRomero, Carmen
dc.contributor.authorMartínez García, Natalia
dc.contributor.authorRodríguez Jiménez, Roberto
dc.date.accessioned2023-12-12T10:00:53Z
dc.date.available2023-12-12T10:00:53Z
dc.date.issued2022
dc.description.abstractDelusions are one of the most classical symptoms described in schizophrenia. However, despite delusions are often emotionally charged, they have been investigated using tasks involving non-affective material, such as the Beads task. In this study we compared 30 patients with schizophrenia experiencing delusions with 32 matched controls in their pattern of responses to two versions of the Beads task within a Bayesian framework. The two versions of the Beads task consisted of one emotional and one neutral, both with ratios of beads of 60:40 and 80:20, considered, respectively, as the "difficult" and "easy" variants of the task. Results indicate that patients showed a greater deviation from the normative model, especially in the 60:40 ratio, suggesting that more inaccurate probability estimations are more likely to occur under uncertainty conditions. Additionally, both patients and controls showed a greater deviation in the emotional version of the task, providing evidence of a reasoning bias modulated by the content of the stimuli. Finally, a positive correlation between patients' deviation and delusional symptomatology was found. Impairments in the 60:40 ratio with emotional content was related to the amount of disruption in life caused by delusions. These results contribute to the understanding of how cognitive mechanisms interact with characteristics of the task (i.e., ambiguity and content) in the context of delusional thinking. These findings might be used to inform improved intervention programs in the domain of inferential reasoning.en
dc.description.departmentDepto. de Estadística y Ciencia de los Datos
dc.description.facultyFac. de Estudios Estadísticos
dc.description.refereedTRUE
dc.description.statuspub
dc.identifier.citationRomero Ferreiro, V., Susi García, M. R., Sánchjez Morla, E. M. et al. «Bayesian reasoning with emotional material in patients with schizophrenia». Frontiers in Psychology, vol. 13, noviembre de 2022, p. 827037. DOI.org (Crossref), https://doi.org/10.3389/fpsyg.2022.827037.
dc.identifier.doi10.3389/FPSYG.2022.827037
dc.identifier.officialurlhttps//doi.org/10.3389/FPSYG.2022.827037
dc.identifier.pmid36405220
dc.identifier.relatedurlhttps://www.frontiersin.org/articles/10.3389/fpsyg.2022.827037/full
dc.identifier.urihttps://hdl.handle.net/20.500.14352/91182
dc.journal.titleFrontiers in Psychology
dc.language.isoeng
dc.publisherFrontiers
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internationalen
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject.cdu616.895.8
dc.subject.cdu519.226.3
dc.subject.keywordBayes theorem
dc.subject.keywordBeads task
dc.subject.keywordDelusions
dc.subject.keywordEmotion
dc.subject.keywordJumping to conclusions
dc.subject.keywordSchizophrenia
dc.subject.ucmProbabilidades (Estadística)
dc.subject.ucmPsiquiatría
dc.subject.ucmEstadística
dc.subject.ucmAnálisis de datos
dc.subject.unesco1209.08 Fundamentos de la Inferencia Estadística
dc.subject.unesco3211 Psiquiatría
dc.subject.unesco1209 Estadística
dc.subject.unesco1209.03 Análisis de datos
dc.titleBayesian reasoning with emotional material in patients with schizophreniaen
dc.typejournal article
dc.type.hasVersionVoR
dc.volume.number13
dspace.entity.typePublication
relation.isAuthorOfPublication13d8b9f8-7ca8-4115-ab2f-6aa12784b434
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relation.isAuthorOfPublication99e89c15-fd25-4dfc-81a6-bd30529c4f66
relation.isAuthorOfPublication.latestForDiscovery13d8b9f8-7ca8-4115-ab2f-6aa12784b434

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