The relationship of clinical, cognitive and social measures in schizophrenia: A preliminary finding combining measures in probands and relatives

Autores
Huepe, David; Riveros, Rodrigo; Manes, Facundo Francisco; Couto, Juan Blas Marcos; Hurtado, Esteban; Cetkovich Bakmas, Marcelo Gustavo; Escobar, Maria; Vergara, Viviana; Parrao, Teresa; Ibanez Barassi, Agustin Mariano
Año de publicación
2012
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
This study examines performance of schizophrenia patients, unaffected relatives and controls in social cognition, cognitive and psychiatric scales looking for possible markers of vulnerability in schizophrenia. Performance of schizophrenia patients from multiplex families, first-degree relatives, and matched controls was compared and, subsequently, discriminant analysis method was used for identifying the best predictors for group membership. By using Multigroup Discriminant Analyses on the three groups, the best predictors were PANSS, Premorbid Adjustment Scale, Faux Pas test, and a face/emotion categorizing task. This model obtained 82% correct global classification, suggesting that the combination of psychiatric scales and neuropsychological/ social cognition tesks are the best approach for characterizing this disease. Although preliminary, our results suggest that social cognition tasks are robust markers of schizophrenia family impairments, and that combining clinical, social and neuropsychological measures is the best approach to asses patients and relatives vulnerability.
Fil: Huepe, David. Universidad Diego Portales; Chile
Fil: Riveros, Rodrigo. Universidad Católica de Chile; Chile. Pontificia Universidad Católica de Chile; Chile
Fil: Manes, Facundo Francisco. Universidad Favaloro; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Couto, Juan Blas Marcos. Universidad Favaloro; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Hurtado, Esteban. Pontificia Universidad Católica de Chile; Chile. Universidad Diego Portales; Chile. Universidad Católica de Chile; Chile
Fil: Cetkovich Bakmas, Marcelo Gustavo. Universidad Favaloro; Argentina
Fil: Escobar, Maria. Universidad Católica de Chile; Chile. Universidad Diego Portales; Chile. Pontificia Universidad Católica de Chile; Chile
Fil: Vergara, Viviana. Universidad Diego Portales; Chile
Fil: Parrao, Teresa. Universidad Diego Portales; Chile
Fil: Ibanez Barassi, Agustin Mariano. Universidad Favaloro; Argentina. Universidad Diego Portales; Chile. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Materia
FIRST DEGREE RELATIVES
MULTIPLEX FAMILY
NEUROPSYCHOLOGY
SCHIZOPHRENIA
SOCIAL COGNITION
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/196581
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/196581
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling The relationship of clinical, cognitive and social measures in schizophrenia: A preliminary finding combining measures in probands and relativesHuepe, DavidRiveros, RodrigoManes, Facundo FranciscoCouto, Juan Blas MarcosHurtado, EstebanCetkovich Bakmas, Marcelo GustavoEscobar, MariaVergara, VivianaParrao, TeresaIbanez Barassi, Agustin MarianoFIRST DEGREE RELATIVESMULTIPLEX FAMILYNEUROPSYCHOLOGYSCHIZOPHRENIASOCIAL COGNITIONhttps://purl.org/becyt/ford/3.2https://purl.org/becyt/ford/3This study examines performance of schizophrenia patients, unaffected relatives and controls in social cognition, cognitive and psychiatric scales looking for possible markers of vulnerability in schizophrenia. Performance of schizophrenia patients from multiplex families, first-degree relatives, and matched controls was compared and, subsequently, discriminant analysis method was used for identifying the best predictors for group membership. By using Multigroup Discriminant Analyses on the three groups, the best predictors were PANSS, Premorbid Adjustment Scale, Faux Pas test, and a face/emotion categorizing task. This model obtained 82% correct global classification, suggesting that the combination of psychiatric scales and neuropsychological/ social cognition tesks are the best approach for characterizing this disease. Although preliminary, our results suggest that social cognition tasks are robust markers of schizophrenia family impairments, and that combining clinical, social and neuropsychological measures is the best approach to asses patients and relatives vulnerability.Fil: Huepe, David. Universidad Diego Portales; ChileFil: Riveros, Rodrigo. Universidad Católica de Chile; Chile. Pontificia Universidad Católica de Chile; ChileFil: Manes, Facundo Francisco. Universidad Favaloro; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Couto, Juan Blas Marcos. Universidad Favaloro; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Hurtado, Esteban. Pontificia Universidad Católica de Chile; Chile. Universidad Diego Portales; Chile. Universidad Católica de Chile; ChileFil: Cetkovich Bakmas, Marcelo Gustavo. Universidad Favaloro; ArgentinaFil: Escobar, Maria. Universidad Católica de Chile; Chile. Universidad Diego Portales; Chile. Pontificia Universidad Católica de Chile; ChileFil: Vergara, Viviana. Universidad Diego Portales; ChileFil: Parrao, Teresa. Universidad Diego Portales; ChileFil: Ibanez Barassi, Agustin Mariano. Universidad Favaloro; Argentina. Universidad Diego Portales; Chile. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaIOS Press2012-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/196581Huepe, David; Riveros, Rodrigo; Manes, Facundo Francisco; Couto, Juan Blas Marcos; Hurtado, Esteban; et al.; The relationship of clinical, cognitive and social measures in schizophrenia: A preliminary finding combining measures in probands and relatives; IOS Press; Behavioural Neurology; 25; 2; 4-2012; 137-1500953-4180CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://www.ncbi.nlm.nih.gov/pubmed/22425724info:eu-repo/semantics/altIdentifier/doi/10.3233/BEN-2011-0350info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:59:19Zoai:ri.conicet.gov.ar:11336/196581instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 09:59:20.2CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv The relationship of clinical, cognitive and social measures in schizophrenia: A preliminary finding combining measures in probands and relatives
title The relationship of clinical, cognitive and social measures in schizophrenia: A preliminary finding combining measures in probands and relatives
spellingShingle The relationship of clinical, cognitive and social measures in schizophrenia: A preliminary finding combining measures in probands and relatives
Huepe, David
FIRST DEGREE RELATIVES
MULTIPLEX FAMILY
NEUROPSYCHOLOGY
SCHIZOPHRENIA
SOCIAL COGNITION
title_short The relationship of clinical, cognitive and social measures in schizophrenia: A preliminary finding combining measures in probands and relatives
title_full The relationship of clinical, cognitive and social measures in schizophrenia: A preliminary finding combining measures in probands and relatives
title_fullStr The relationship of clinical, cognitive and social measures in schizophrenia: A preliminary finding combining measures in probands and relatives
title_full_unstemmed The relationship of clinical, cognitive and social measures in schizophrenia: A preliminary finding combining measures in probands and relatives
title_sort The relationship of clinical, cognitive and social measures in schizophrenia: A preliminary finding combining measures in probands and relatives
dc.creator.none.fl_str_mv Huepe, David
Riveros, Rodrigo
Manes, Facundo Francisco
Couto, Juan Blas Marcos
Hurtado, Esteban
Cetkovich Bakmas, Marcelo Gustavo
Escobar, Maria
Vergara, Viviana
Parrao, Teresa
Ibanez Barassi, Agustin Mariano
author Huepe, David
author_facet Huepe, David
Riveros, Rodrigo
Manes, Facundo Francisco
Couto, Juan Blas Marcos
Hurtado, Esteban
Cetkovich Bakmas, Marcelo Gustavo
Escobar, Maria
Vergara, Viviana
Parrao, Teresa
Ibanez Barassi, Agustin Mariano
author_role author
author2 Riveros, Rodrigo
Manes, Facundo Francisco
Couto, Juan Blas Marcos
Hurtado, Esteban
Cetkovich Bakmas, Marcelo Gustavo
Escobar, Maria
Vergara, Viviana
Parrao, Teresa
Ibanez Barassi, Agustin Mariano
author2_role author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv FIRST DEGREE RELATIVES
MULTIPLEX FAMILY
NEUROPSYCHOLOGY
SCHIZOPHRENIA
SOCIAL COGNITION
topic FIRST DEGREE RELATIVES
MULTIPLEX FAMILY
NEUROPSYCHOLOGY
SCHIZOPHRENIA
SOCIAL COGNITION
purl_subject.fl_str_mv https://purl.org/becyt/ford/3.2
https://purl.org/becyt/ford/3
dc.description.none.fl_txt_mv This study examines performance of schizophrenia patients, unaffected relatives and controls in social cognition, cognitive and psychiatric scales looking for possible markers of vulnerability in schizophrenia. Performance of schizophrenia patients from multiplex families, first-degree relatives, and matched controls was compared and, subsequently, discriminant analysis method was used for identifying the best predictors for group membership. By using Multigroup Discriminant Analyses on the three groups, the best predictors were PANSS, Premorbid Adjustment Scale, Faux Pas test, and a face/emotion categorizing task. This model obtained 82% correct global classification, suggesting that the combination of psychiatric scales and neuropsychological/ social cognition tesks are the best approach for characterizing this disease. Although preliminary, our results suggest that social cognition tasks are robust markers of schizophrenia family impairments, and that combining clinical, social and neuropsychological measures is the best approach to asses patients and relatives vulnerability.
Fil: Huepe, David. Universidad Diego Portales; Chile
Fil: Riveros, Rodrigo. Universidad Católica de Chile; Chile. Pontificia Universidad Católica de Chile; Chile
Fil: Manes, Facundo Francisco. Universidad Favaloro; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Couto, Juan Blas Marcos. Universidad Favaloro; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Hurtado, Esteban. Pontificia Universidad Católica de Chile; Chile. Universidad Diego Portales; Chile. Universidad Católica de Chile; Chile
Fil: Cetkovich Bakmas, Marcelo Gustavo. Universidad Favaloro; Argentina
Fil: Escobar, Maria. Universidad Católica de Chile; Chile. Universidad Diego Portales; Chile. Pontificia Universidad Católica de Chile; Chile
Fil: Vergara, Viviana. Universidad Diego Portales; Chile
Fil: Parrao, Teresa. Universidad Diego Portales; Chile
Fil: Ibanez Barassi, Agustin Mariano. Universidad Favaloro; Argentina. Universidad Diego Portales; Chile. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
description This study examines performance of schizophrenia patients, unaffected relatives and controls in social cognition, cognitive and psychiatric scales looking for possible markers of vulnerability in schizophrenia. Performance of schizophrenia patients from multiplex families, first-degree relatives, and matched controls was compared and, subsequently, discriminant analysis method was used for identifying the best predictors for group membership. By using Multigroup Discriminant Analyses on the three groups, the best predictors were PANSS, Premorbid Adjustment Scale, Faux Pas test, and a face/emotion categorizing task. This model obtained 82% correct global classification, suggesting that the combination of psychiatric scales and neuropsychological/ social cognition tesks are the best approach for characterizing this disease. Although preliminary, our results suggest that social cognition tasks are robust markers of schizophrenia family impairments, and that combining clinical, social and neuropsychological measures is the best approach to asses patients and relatives vulnerability.
publishDate 2012
dc.date.none.fl_str_mv 2012-04
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/196581
Huepe, David; Riveros, Rodrigo; Manes, Facundo Francisco; Couto, Juan Blas Marcos; Hurtado, Esteban; et al.; The relationship of clinical, cognitive and social measures in schizophrenia: A preliminary finding combining measures in probands and relatives; IOS Press; Behavioural Neurology; 25; 2; 4-2012; 137-150
0953-4180
CONICET Digital
CONICET
url http://hdl.handle.net/11336/196581
identifier_str_mv Huepe, David; Riveros, Rodrigo; Manes, Facundo Francisco; Couto, Juan Blas Marcos; Hurtado, Esteban; et al.; The relationship of clinical, cognitive and social measures in schizophrenia: A preliminary finding combining measures in probands and relatives; IOS Press; Behavioural Neurology; 25; 2; 4-2012; 137-150
0953-4180
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://www.ncbi.nlm.nih.gov/pubmed/22425724
info:eu-repo/semantics/altIdentifier/doi/10.3233/BEN-2011-0350
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv IOS Press
publisher.none.fl_str_mv IOS Press
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.069144

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