Emotion recognition in multiple sclerosis

Detalhes bibliográficos
Autor(a) principal: Pinto, C.
Data de Publicação: 2012
Outros Autores: Gomes, F., Moreira, I., Rosa, B., Santos, E., Silva , A. M., Cavaco, S.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10437/2320
Resumo: The effect of multiple sclerosis (MS) on the ability to identify emotional expressions in faces was investigated, and possible associations with patients’ characteristics were explored. 56 non-demented MS patients and 56 healthy subjects (HS) with similar demographic characteristics performed an emotion recognition task (ERT), the Benton Facial Recognition Test (BFRT), and answered the Hospital Anxiety and Depression Scale (HADS). Additionally, MS patients underwent a neurological examination and a comprehensive neuropsychological evaluation. The ERT consisted of 42 pictures of faces (depicting anger, disgust, fear, happiness, sadness, surprise and neutral expressions) from the NimStim set. An iViewX high-speed eye tracker was used to record eye movements during ERT. The fixation times were calculated for two regions of interest (i.e., eyes and rest of the face). No significant differences were found between MS and HC on ERT’s behavioral and oculomotor measures. Bivariate and multiple regression analyses revealed significant associations between ERT’s behavioral performance and demographic, clinical, psychopathological, and cognitive measures.
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spelling Emotion recognition in multiple sclerosisESCLEROSE MÚLTIPLAEMOÇÕESDEPRESSÃOPSICOLOGIAEXPRESSÕES FACIAISMULTIPLE SCLEROSISEMOTIONSDEPRESSIONPSYCHOLOGYFACIAL EXPRESSIONSThe effect of multiple sclerosis (MS) on the ability to identify emotional expressions in faces was investigated, and possible associations with patients’ characteristics were explored. 56 non-demented MS patients and 56 healthy subjects (HS) with similar demographic characteristics performed an emotion recognition task (ERT), the Benton Facial Recognition Test (BFRT), and answered the Hospital Anxiety and Depression Scale (HADS). Additionally, MS patients underwent a neurological examination and a comprehensive neuropsychological evaluation. The ERT consisted of 42 pictures of faces (depicting anger, disgust, fear, happiness, sadness, surprise and neutral expressions) from the NimStim set. An iViewX high-speed eye tracker was used to record eye movements during ERT. The fixation times were calculated for two regions of interest (i.e., eyes and rest of the face). No significant differences were found between MS and HC on ERT’s behavioral and oculomotor measures. Bivariate and multiple regression analyses revealed significant associations between ERT’s behavioral performance and demographic, clinical, psychopathological, and cognitive measures.Edições Universitárias Lusófonas2012-04-10T12:39:54Z2012-01-01T00:00:00Z2012info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10437/2320eng1647-7677Pinto, C.Gomes, F.Moreira, I.Rosa, B.Santos, E.Silva , A. M.Cavaco, S.info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-03-09T14:05:43Zoai:recil.ensinolusofona.pt:10437/2320Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:13:25.899138Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Emotion recognition in multiple sclerosis
title Emotion recognition in multiple sclerosis
spellingShingle Emotion recognition in multiple sclerosis
Pinto, C.
ESCLEROSE MÚLTIPLA
EMOÇÕES
DEPRESSÃO
PSICOLOGIA
EXPRESSÕES FACIAIS
MULTIPLE SCLEROSIS
EMOTIONS
DEPRESSION
PSYCHOLOGY
FACIAL EXPRESSIONS
title_short Emotion recognition in multiple sclerosis
title_full Emotion recognition in multiple sclerosis
title_fullStr Emotion recognition in multiple sclerosis
title_full_unstemmed Emotion recognition in multiple sclerosis
title_sort Emotion recognition in multiple sclerosis
author Pinto, C.
author_facet Pinto, C.
Gomes, F.
Moreira, I.
Rosa, B.
Santos, E.
Silva , A. M.
Cavaco, S.
author_role author
author2 Gomes, F.
Moreira, I.
Rosa, B.
Santos, E.
Silva , A. M.
Cavaco, S.
author2_role author
author
author
author
author
author
dc.contributor.author.fl_str_mv Pinto, C.
Gomes, F.
Moreira, I.
Rosa, B.
Santos, E.
Silva , A. M.
Cavaco, S.
dc.subject.por.fl_str_mv ESCLEROSE MÚLTIPLA
EMOÇÕES
DEPRESSÃO
PSICOLOGIA
EXPRESSÕES FACIAIS
MULTIPLE SCLEROSIS
EMOTIONS
DEPRESSION
PSYCHOLOGY
FACIAL EXPRESSIONS
topic ESCLEROSE MÚLTIPLA
EMOÇÕES
DEPRESSÃO
PSICOLOGIA
EXPRESSÕES FACIAIS
MULTIPLE SCLEROSIS
EMOTIONS
DEPRESSION
PSYCHOLOGY
FACIAL EXPRESSIONS
description The effect of multiple sclerosis (MS) on the ability to identify emotional expressions in faces was investigated, and possible associations with patients’ characteristics were explored. 56 non-demented MS patients and 56 healthy subjects (HS) with similar demographic characteristics performed an emotion recognition task (ERT), the Benton Facial Recognition Test (BFRT), and answered the Hospital Anxiety and Depression Scale (HADS). Additionally, MS patients underwent a neurological examination and a comprehensive neuropsychological evaluation. The ERT consisted of 42 pictures of faces (depicting anger, disgust, fear, happiness, sadness, surprise and neutral expressions) from the NimStim set. An iViewX high-speed eye tracker was used to record eye movements during ERT. The fixation times were calculated for two regions of interest (i.e., eyes and rest of the face). No significant differences were found between MS and HC on ERT’s behavioral and oculomotor measures. Bivariate and multiple regression analyses revealed significant associations between ERT’s behavioral performance and demographic, clinical, psychopathological, and cognitive measures.
publishDate 2012
dc.date.none.fl_str_mv 2012-04-10T12:39:54Z
2012-01-01T00:00:00Z
2012
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10437/2320
url http://hdl.handle.net/10437/2320
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1647-7677
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
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dc.publisher.none.fl_str_mv Edições Universitárias Lusófonas
publisher.none.fl_str_mv Edições Universitárias Lusófonas
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
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reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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