Heterogeneous factors influence social cognition across diverse settings in brain health and age-related diseases
- Autores
- Fittipaldi, María Sol; Legaz, Agustina; Maito, Marcelo; Hernandez, Hernan; Altschuler, Florencia; Canziani, Veronica; Moguilner, Sebastian; Gillan, Claire M.; Castillo, Josefina; Lillo, Patricia; Custodio, Nilton; Avila Funes, José Alberto; Cardona, Juan Felipe; Slachevsky, Andrea; Henriquez, Fernando; Fraile Vazquez, Matias; Cruz de Souza, Leonardo; Borroni, Barbara; Hornberger, Michael; Lopera, Francisco; Santamaria Garcia, Hernando; Matallana, Diana; Reyes, Pablo; Gonzalez Campo, Cecilia; Bertoux, Maxime; Ibañez, Agustin Mariano
- Año de publicación
- 2024
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- Aging may diminish social cognition, which is crucial for interaction with others, and significant changesin this capacity can indicate pathological processes like dementia. However, the extent to which nonspecific factors explain variability in social cognition performance, especially among older adults and inglobal settings, remains unknown. A computational approach assessed combined heterogeneouscontributors to social cognition in a diverse sample of 1063 older adults from 9 countries. Support vectorregressions predicted the performance in emotion recognition, mentalizing, and a total social cognitionscore from a combination of disparate factors, including clinical diagnosis (healthy controls, subjectivecognitive complaints, mild cognitive impairment, Alzheimer’s disease, behavioral variant frontotemporaldementia), demographics (sex, age, education, and country income as a proxy of socioeconomic status),cognition (cognitive and executive functions), structural brain reserve, and in-scanner motion artifacts.Cognitive and executive functions and educational level consistently emerged among the top predictorsof social cognition across models. Such non-specific factors showed more substantial influence thandiagnosis (dementia or cognitive decline) and brain reserve. Notably, age did not make a significantcontribution when considering all predictors. While fMRI brain networks did not show predictive value,head movements significantly contributed to emotion recognition. Models explained between 28–44% ofthe variance in social cognition performance. Results challenge traditional interpretations of age-relateddecline, patient-control differences, and brain signatures of social cognition, emphasizing the role ofheterogeneous factors. Findings advance our understanding of social cognition in brain health anddisease, with implications for predictive models, assessments, and interventions.
Fil: Fittipaldi, María Sol. Universidad Adolfo Ibañez; Chile. University of California; Estados Unidos. Trinity College Dublin; Irlanda. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Legaz, Agustina. Universidad de San Andrés; Argentina. Universidad Adolfo Ibañez; Chile. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Maito, Marcelo. Universidad de San Andrés; Argentina
Fil: Hernandez, Hernan. Universidad de San Andrés; Argentina. Universidad de Concepción; Chile
Fil: Altschuler, Florencia. Universidad de San Andrés; Argentina. Universidad de San Andrés; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Canziani, Veronica. Universidad de San Andrés; Argentina
Fil: Moguilner, Sebastian. Universidad de San Andrés; Argentina. Universidad Adolfo Ibañez; Chile
Fil: Gillan, Claire M.. Trinity College Dublin; Irlanda. University of California; Estados Unidos
Fil: Castillo, Josefina. Universidad Adolfo Ibañez; Chile
Fil: Lillo, Patricia. Geroscience Center for Brain Health and Metabolism; Chile. Universidad de Chile; Chile
Fil: Custodio, Nilton. Universidad Privada San Juan Bautista; Perú. Peruvian Institute of Neurosciences; Perú
Fil: Avila Funes, José Alberto. University of Bordeaux; Francia. Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán; México
Fil: Cardona, Juan Felipe. Universidad del Valle; Colombia
Fil: Slachevsky, Andrea. Universidad del Desarrollo; Chile. Universidad de Chile; Chile. Geroscience Center for Brain Health and Metabolism; Chile
Fil: Henriquez, Fernando. Geroscience Center for Brain Health and Metabolism; Chile. Universidad de Chile; Chile
Fil: Fraile Vazquez, Matias. Universidad de San Andrés; Argentina
Fil: Cruz de Souza, Leonardo. Universidade Federal de Minas Gerais; Brasil
Fil: Borroni, Barbara. University of Brescia; Italia. Cognitive and Behavioural Neurology; Italia
Fil: Hornberger, Michael. University of East Anglia; Reino Unido
Fil: Lopera, Francisco. University of Antioquia; Colombia
Fil: Santamaria Garcia, Hernando. Pontificia Universidad Javeriana; Colombia. University of California at Berkeley; Estados Unidos. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Matallana, Diana. Pontificia Universidad Javeriana; Colombia. Hospital Universitario San Ignacio; Colombia
Fil: Reyes, Pablo. Universidad Adolfo Ibañez; Chile
Fil: Gonzalez Campo, Cecilia. Universidad de San Andrés; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Bertoux, Maxime. University Lille; Francia
Fil: Ibañez, Agustin Mariano. Universidad Adolfo Ibañez; Chile. Trinity College Dublin; Irlanda. Universidad de San Andrés; Argentina. University of California; Estados Unidos - Materia
-
EMOTION RECOGNITION
DIVERSE POPULATIONS
FMRI - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
.jpg)
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/236899
Ver los metadatos del registro completo
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Heterogeneous factors influence social cognition across diverse settings in brain health and age-related diseasesFittipaldi, María SolLegaz, AgustinaMaito, MarceloHernandez, HernanAltschuler, FlorenciaCanziani, VeronicaMoguilner, SebastianGillan, Claire M.Castillo, JosefinaLillo, PatriciaCustodio, NiltonAvila Funes, José AlbertoCardona, Juan FelipeSlachevsky, AndreaHenriquez, FernandoFraile Vazquez, MatiasCruz de Souza, LeonardoBorroni, BarbaraHornberger, MichaelLopera, FranciscoSantamaria Garcia, HernandoMatallana, DianaReyes, PabloGonzalez Campo, CeciliaBertoux, MaximeIbañez, Agustin MarianoEMOTION RECOGNITIONDIVERSE POPULATIONSFMRIhttps://purl.org/becyt/ford/3.1https://purl.org/becyt/ford/3Aging may diminish social cognition, which is crucial for interaction with others, and significant changesin this capacity can indicate pathological processes like dementia. However, the extent to which nonspecific factors explain variability in social cognition performance, especially among older adults and inglobal settings, remains unknown. A computational approach assessed combined heterogeneouscontributors to social cognition in a diverse sample of 1063 older adults from 9 countries. Support vectorregressions predicted the performance in emotion recognition, mentalizing, and a total social cognitionscore from a combination of disparate factors, including clinical diagnosis (healthy controls, subjectivecognitive complaints, mild cognitive impairment, Alzheimer’s disease, behavioral variant frontotemporaldementia), demographics (sex, age, education, and country income as a proxy of socioeconomic status),cognition (cognitive and executive functions), structural brain reserve, and in-scanner motion artifacts.Cognitive and executive functions and educational level consistently emerged among the top predictorsof social cognition across models. Such non-specific factors showed more substantial influence thandiagnosis (dementia or cognitive decline) and brain reserve. Notably, age did not make a significantcontribution when considering all predictors. While fMRI brain networks did not show predictive value,head movements significantly contributed to emotion recognition. Models explained between 28–44% ofthe variance in social cognition performance. Results challenge traditional interpretations of age-relateddecline, patient-control differences, and brain signatures of social cognition, emphasizing the role ofheterogeneous factors. Findings advance our understanding of social cognition in brain health anddisease, with implications for predictive models, assessments, and interventions.Fil: Fittipaldi, María Sol. Universidad Adolfo Ibañez; Chile. University of California; Estados Unidos. Trinity College Dublin; Irlanda. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Legaz, Agustina. Universidad de San Andrés; Argentina. Universidad Adolfo Ibañez; Chile. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Maito, Marcelo. Universidad de San Andrés; ArgentinaFil: Hernandez, Hernan. Universidad de San Andrés; Argentina. Universidad de Concepción; ChileFil: Altschuler, Florencia. Universidad de San Andrés; Argentina. Universidad de San Andrés; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Canziani, Veronica. Universidad de San Andrés; ArgentinaFil: Moguilner, Sebastian. Universidad de San Andrés; Argentina. Universidad Adolfo Ibañez; ChileFil: Gillan, Claire M.. Trinity College Dublin; Irlanda. University of California; Estados UnidosFil: Castillo, Josefina. Universidad Adolfo Ibañez; ChileFil: Lillo, Patricia. Geroscience Center for Brain Health and Metabolism; Chile. Universidad de Chile; ChileFil: Custodio, Nilton. Universidad Privada San Juan Bautista; Perú. Peruvian Institute of Neurosciences; PerúFil: Avila Funes, José Alberto. University of Bordeaux; Francia. Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán; MéxicoFil: Cardona, Juan Felipe. Universidad del Valle; ColombiaFil: Slachevsky, Andrea. Universidad del Desarrollo; Chile. Universidad de Chile; Chile. Geroscience Center for Brain Health and Metabolism; ChileFil: Henriquez, Fernando. Geroscience Center for Brain Health and Metabolism; Chile. Universidad de Chile; ChileFil: Fraile Vazquez, Matias. Universidad de San Andrés; ArgentinaFil: Cruz de Souza, Leonardo. Universidade Federal de Minas Gerais; BrasilFil: Borroni, Barbara. University of Brescia; Italia. Cognitive and Behavioural Neurology; ItaliaFil: Hornberger, Michael. University of East Anglia; Reino UnidoFil: Lopera, Francisco. University of Antioquia; ColombiaFil: Santamaria Garcia, Hernando. Pontificia Universidad Javeriana; Colombia. University of California at Berkeley; Estados Unidos. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Matallana, Diana. Pontificia Universidad Javeriana; Colombia. Hospital Universitario San Ignacio; ColombiaFil: Reyes, Pablo. Universidad Adolfo Ibañez; ChileFil: Gonzalez Campo, Cecilia. Universidad de San Andrés; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Bertoux, Maxime. University Lille; FranciaFil: Ibañez, Agustin Mariano. Universidad Adolfo Ibañez; Chile. Trinity College Dublin; Irlanda. Universidad de San Andrés; Argentina. University of California; Estados UnidosSpringer2024-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/236899Fittipaldi, María Sol; Legaz, Agustina; Maito, Marcelo; Hernandez, Hernan; Altschuler, Florencia; et al.; Heterogeneous factors influence social cognition across diverse settings in brain health and age-related diseases; Springer; Nature Mental Health; 2; 1; 1-2024; 63-752731-6076CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.nature.com/articles/s44220-023-00164-3info:eu-repo/semantics/altIdentifier/doi/10.1038/s44220-023-00164-3info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-17T11:56:27Zoai:ri.conicet.gov.ar:11336/236899instacron: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:34982025-09-17 11:56:27.597CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
| dc.title.none.fl_str_mv |
Heterogeneous factors influence social cognition across diverse settings in brain health and age-related diseases |
| title |
Heterogeneous factors influence social cognition across diverse settings in brain health and age-related diseases |
| spellingShingle |
Heterogeneous factors influence social cognition across diverse settings in brain health and age-related diseases Fittipaldi, María Sol EMOTION RECOGNITION DIVERSE POPULATIONS FMRI |
| title_short |
Heterogeneous factors influence social cognition across diverse settings in brain health and age-related diseases |
| title_full |
Heterogeneous factors influence social cognition across diverse settings in brain health and age-related diseases |
| title_fullStr |
Heterogeneous factors influence social cognition across diverse settings in brain health and age-related diseases |
| title_full_unstemmed |
Heterogeneous factors influence social cognition across diverse settings in brain health and age-related diseases |
| title_sort |
Heterogeneous factors influence social cognition across diverse settings in brain health and age-related diseases |
| dc.creator.none.fl_str_mv |
Fittipaldi, María Sol Legaz, Agustina Maito, Marcelo Hernandez, Hernan Altschuler, Florencia Canziani, Veronica Moguilner, Sebastian Gillan, Claire M. Castillo, Josefina Lillo, Patricia Custodio, Nilton Avila Funes, José Alberto Cardona, Juan Felipe Slachevsky, Andrea Henriquez, Fernando Fraile Vazquez, Matias Cruz de Souza, Leonardo Borroni, Barbara Hornberger, Michael Lopera, Francisco Santamaria Garcia, Hernando Matallana, Diana Reyes, Pablo Gonzalez Campo, Cecilia Bertoux, Maxime Ibañez, Agustin Mariano |
| author |
Fittipaldi, María Sol |
| author_facet |
Fittipaldi, María Sol Legaz, Agustina Maito, Marcelo Hernandez, Hernan Altschuler, Florencia Canziani, Veronica Moguilner, Sebastian Gillan, Claire M. Castillo, Josefina Lillo, Patricia Custodio, Nilton Avila Funes, José Alberto Cardona, Juan Felipe Slachevsky, Andrea Henriquez, Fernando Fraile Vazquez, Matias Cruz de Souza, Leonardo Borroni, Barbara Hornberger, Michael Lopera, Francisco Santamaria Garcia, Hernando Matallana, Diana Reyes, Pablo Gonzalez Campo, Cecilia Bertoux, Maxime Ibañez, Agustin Mariano |
| author_role |
author |
| author2 |
Legaz, Agustina Maito, Marcelo Hernandez, Hernan Altschuler, Florencia Canziani, Veronica Moguilner, Sebastian Gillan, Claire M. Castillo, Josefina Lillo, Patricia Custodio, Nilton Avila Funes, José Alberto Cardona, Juan Felipe Slachevsky, Andrea Henriquez, Fernando Fraile Vazquez, Matias Cruz de Souza, Leonardo Borroni, Barbara Hornberger, Michael Lopera, Francisco Santamaria Garcia, Hernando Matallana, Diana Reyes, Pablo Gonzalez Campo, Cecilia Bertoux, Maxime Ibañez, Agustin Mariano |
| author2_role |
author author author author author author author author author author author author author author author author author author author author author author author author author |
| dc.subject.none.fl_str_mv |
EMOTION RECOGNITION DIVERSE POPULATIONS FMRI |
| topic |
EMOTION RECOGNITION DIVERSE POPULATIONS FMRI |
| purl_subject.fl_str_mv |
https://purl.org/becyt/ford/3.1 https://purl.org/becyt/ford/3 |
| dc.description.none.fl_txt_mv |
Aging may diminish social cognition, which is crucial for interaction with others, and significant changesin this capacity can indicate pathological processes like dementia. However, the extent to which nonspecific factors explain variability in social cognition performance, especially among older adults and inglobal settings, remains unknown. A computational approach assessed combined heterogeneouscontributors to social cognition in a diverse sample of 1063 older adults from 9 countries. Support vectorregressions predicted the performance in emotion recognition, mentalizing, and a total social cognitionscore from a combination of disparate factors, including clinical diagnosis (healthy controls, subjectivecognitive complaints, mild cognitive impairment, Alzheimer’s disease, behavioral variant frontotemporaldementia), demographics (sex, age, education, and country income as a proxy of socioeconomic status),cognition (cognitive and executive functions), structural brain reserve, and in-scanner motion artifacts.Cognitive and executive functions and educational level consistently emerged among the top predictorsof social cognition across models. Such non-specific factors showed more substantial influence thandiagnosis (dementia or cognitive decline) and brain reserve. Notably, age did not make a significantcontribution when considering all predictors. While fMRI brain networks did not show predictive value,head movements significantly contributed to emotion recognition. Models explained between 28–44% ofthe variance in social cognition performance. Results challenge traditional interpretations of age-relateddecline, patient-control differences, and brain signatures of social cognition, emphasizing the role ofheterogeneous factors. Findings advance our understanding of social cognition in brain health anddisease, with implications for predictive models, assessments, and interventions. Fil: Fittipaldi, María Sol. Universidad Adolfo Ibañez; Chile. University of California; Estados Unidos. Trinity College Dublin; Irlanda. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: Legaz, Agustina. Universidad de San Andrés; Argentina. Universidad Adolfo Ibañez; Chile. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: Maito, Marcelo. Universidad de San Andrés; Argentina Fil: Hernandez, Hernan. Universidad de San Andrés; Argentina. Universidad de Concepción; Chile Fil: Altschuler, Florencia. Universidad de San Andrés; Argentina. Universidad de San Andrés; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: Canziani, Veronica. Universidad de San Andrés; Argentina Fil: Moguilner, Sebastian. Universidad de San Andrés; Argentina. Universidad Adolfo Ibañez; Chile Fil: Gillan, Claire M.. Trinity College Dublin; Irlanda. University of California; Estados Unidos Fil: Castillo, Josefina. Universidad Adolfo Ibañez; Chile Fil: Lillo, Patricia. Geroscience Center for Brain Health and Metabolism; Chile. Universidad de Chile; Chile Fil: Custodio, Nilton. Universidad Privada San Juan Bautista; Perú. Peruvian Institute of Neurosciences; Perú Fil: Avila Funes, José Alberto. University of Bordeaux; Francia. Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán; México Fil: Cardona, Juan Felipe. Universidad del Valle; Colombia Fil: Slachevsky, Andrea. Universidad del Desarrollo; Chile. Universidad de Chile; Chile. Geroscience Center for Brain Health and Metabolism; Chile Fil: Henriquez, Fernando. Geroscience Center for Brain Health and Metabolism; Chile. Universidad de Chile; Chile Fil: Fraile Vazquez, Matias. Universidad de San Andrés; Argentina Fil: Cruz de Souza, Leonardo. Universidade Federal de Minas Gerais; Brasil Fil: Borroni, Barbara. University of Brescia; Italia. Cognitive and Behavioural Neurology; Italia Fil: Hornberger, Michael. University of East Anglia; Reino Unido Fil: Lopera, Francisco. University of Antioquia; Colombia Fil: Santamaria Garcia, Hernando. Pontificia Universidad Javeriana; Colombia. University of California at Berkeley; Estados Unidos. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: Matallana, Diana. Pontificia Universidad Javeriana; Colombia. Hospital Universitario San Ignacio; Colombia Fil: Reyes, Pablo. Universidad Adolfo Ibañez; Chile Fil: Gonzalez Campo, Cecilia. Universidad de San Andrés; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: Bertoux, Maxime. University Lille; Francia Fil: Ibañez, Agustin Mariano. Universidad Adolfo Ibañez; Chile. Trinity College Dublin; Irlanda. Universidad de San Andrés; Argentina. University of California; Estados Unidos |
| description |
Aging may diminish social cognition, which is crucial for interaction with others, and significant changesin this capacity can indicate pathological processes like dementia. However, the extent to which nonspecific factors explain variability in social cognition performance, especially among older adults and inglobal settings, remains unknown. A computational approach assessed combined heterogeneouscontributors to social cognition in a diverse sample of 1063 older adults from 9 countries. Support vectorregressions predicted the performance in emotion recognition, mentalizing, and a total social cognitionscore from a combination of disparate factors, including clinical diagnosis (healthy controls, subjectivecognitive complaints, mild cognitive impairment, Alzheimer’s disease, behavioral variant frontotemporaldementia), demographics (sex, age, education, and country income as a proxy of socioeconomic status),cognition (cognitive and executive functions), structural brain reserve, and in-scanner motion artifacts.Cognitive and executive functions and educational level consistently emerged among the top predictorsof social cognition across models. Such non-specific factors showed more substantial influence thandiagnosis (dementia or cognitive decline) and brain reserve. Notably, age did not make a significantcontribution when considering all predictors. While fMRI brain networks did not show predictive value,head movements significantly contributed to emotion recognition. Models explained between 28–44% ofthe variance in social cognition performance. Results challenge traditional interpretations of age-relateddecline, patient-control differences, and brain signatures of social cognition, emphasizing the role ofheterogeneous factors. Findings advance our understanding of social cognition in brain health anddisease, with implications for predictive models, assessments, and interventions. |
| publishDate |
2024 |
| dc.date.none.fl_str_mv |
2024-01 |
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info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
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article |
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publishedVersion |
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http://hdl.handle.net/11336/236899 Fittipaldi, María Sol; Legaz, Agustina; Maito, Marcelo; Hernandez, Hernan; Altschuler, Florencia; et al.; Heterogeneous factors influence social cognition across diverse settings in brain health and age-related diseases; Springer; Nature Mental Health; 2; 1; 1-2024; 63-75 2731-6076 CONICET Digital CONICET |
| url |
http://hdl.handle.net/11336/236899 |
| identifier_str_mv |
Fittipaldi, María Sol; Legaz, Agustina; Maito, Marcelo; Hernandez, Hernan; Altschuler, Florencia; et al.; Heterogeneous factors influence social cognition across diverse settings in brain health and age-related diseases; Springer; Nature Mental Health; 2; 1; 1-2024; 63-75 2731-6076 CONICET Digital CONICET |
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eng |
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eng |
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info:eu-repo/semantics/altIdentifier/url/https://www.nature.com/articles/s44220-023-00164-3 info:eu-repo/semantics/altIdentifier/doi/10.1038/s44220-023-00164-3 |
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openAccess |
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Springer |
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Springer |
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