Emotion recognition in multiple sclerosis
Autor(a) principal: | |
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Data de Publicação: | 2012 |
Outros Autores: | , , , , , |
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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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 |
dc.format.none.fl_str_mv |
application/pdf |
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 |
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RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1799131231467601920 |