Neocortical age and fluid ability: Greater accelerated brain aging for thickness, but smaller for surface area, in high cognitive ability individuals

Biological (BA) and chronological (CA) age may or may not fit. The available evidence reveals remarkable individual differences in the overlap/mismatch between BA and CA. Increased mismatch can be interpreted as delayed (BA/CA < 1) or accelerated biological aging (BA/CA > 1). Body and brain he...

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Autores: Santonja, Javier, Román, Francisco J., Martínez Rodríguez, Kenia, Escorial Martín, Sergio, Álvarez Linera, Juan, Privado Zamorano, Jesús, Quiroga Estévez, María Ángeles, Santarnecchi, Emiliano, Iturria Medina, Yasser, Colom, Roberto
Tipo de recurso: artículo
Fecha de publicación:2021
País:España
Institución:Universidad Complutense de Madrid (UCM)
Repositorio:Docta Complutense
Idioma:inglés
OAI Identifier:oai:docta.ucm.es:20.500.14352/117961
Acceso en línea:https://hdl.handle.net/20.500.14352/117961
Access Level:acceso abierto
Palabra clave:Brain age
Cognitive ability
Structural MRI
Cortical thickness
Cortical surface area
Aptitudes e inteligencia (Psicología)
Neuropsicología
6106.01 Actividad Cerebral
6105.04 Estadística
6106.07 Procesos Mentales
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spelling Neocortical age and fluid ability: Greater accelerated brain aging for thickness, but smaller for surface area, in high cognitive ability individualsSantonja, JavierRomán, Francisco J.Martínez Rodríguez, KeniaEscorial Martín, SergioÁlvarez Linera, JuanPrivado Zamorano, JesúsQuiroga Estévez, María ÁngelesSantarnecchi, EmilianoIturria Medina, YasserColom, RobertoBrain ageCognitive abilityStructural MRICortical thicknessCortical surface areaAptitudes e inteligencia (Psicología)Neuropsicología6106.01 Actividad Cerebral6105.04 Estadística6106.07 Procesos MentalesBiological (BA) and chronological (CA) age may or may not fit. The available evidence reveals remarkable individual differences in the overlap/mismatch between BA and CA. Increased mismatch can be interpreted as delayed (BA/CA < 1) or accelerated biological aging (BA/CA > 1). Body and brain health are correlated and both predict aging outcomes associated with physical and mental fitness. Moreover, research has shown that older brain age at midlife correlates negatively with cognitive ability measured in early childhood, which suggests early life predisposition to accelerated aging in adulthood. Under this framework, here we test if increased cognitive ability is associated with delayed brain aging, analyzing structural MRI data of 188 individuals, sixty of whom were recruited from MENSA, an association comprising individuals who obtained cognitive ability scores in the top 2 percent of the population. These high ability individuals (HCA) showed an average advantage of 33 IQ points, on a fluid reasoning test they completed for this research, over those other recruited because of their average cognitive ability (ACA). Next, brain age was computed at the individual level for two distinguishable neocortical features (thickness and surface area) according to models trained in an independent large-scale sample of 2377 individuals. Results revealed a stronger pattern of accelerated brain aging in HCA compared to ACA individuals for thickness, while the opposite pattern was suggested for surface area. The findings align well with the greater relevance of individual differences in cortical surface area for enhancing our understanding of cognitive differences at the brain level.ElsevierUniversidad Complutense de Madrid20212021-07-0120212021-07-01journal articlehttp://purl.org/coar/resource_type/c_6501AMhttp://purl.org/coar/version/c_ab4af688f83e57aainfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/20.500.14352/117961reponame:Docta Complutenseinstname:Universidad Complutense de Madrid (UCM)InglésengAgencia Estatal de Investigación http://dx.doi.org/10.13039/501100011033 Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016 PSI2017-82218-P NEUROMARCADORES ESTRUCTURALES Y FUNCIONALES DE LA ALTA CAPACIDAD COGNITIVA GENERAL (G)open accesshttp://purl.org/coar/access_right/c_abf2Attribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:docta.ucm.es:20.500.14352/1179612026-06-02T12:44:21Z
dc.title.none.fl_str_mv Neocortical age and fluid ability: Greater accelerated brain aging for thickness, but smaller for surface area, in high cognitive ability individuals
title Neocortical age and fluid ability: Greater accelerated brain aging for thickness, but smaller for surface area, in high cognitive ability individuals
spellingShingle Neocortical age and fluid ability: Greater accelerated brain aging for thickness, but smaller for surface area, in high cognitive ability individuals
Santonja, Javier
Brain age
Cognitive ability
Structural MRI
Cortical thickness
Cortical surface area
Aptitudes e inteligencia (Psicología)
Neuropsicología
6106.01 Actividad Cerebral
6105.04 Estadística
6106.07 Procesos Mentales
title_short Neocortical age and fluid ability: Greater accelerated brain aging for thickness, but smaller for surface area, in high cognitive ability individuals
title_full Neocortical age and fluid ability: Greater accelerated brain aging for thickness, but smaller for surface area, in high cognitive ability individuals
title_fullStr Neocortical age and fluid ability: Greater accelerated brain aging for thickness, but smaller for surface area, in high cognitive ability individuals
title_full_unstemmed Neocortical age and fluid ability: Greater accelerated brain aging for thickness, but smaller for surface area, in high cognitive ability individuals
title_sort Neocortical age and fluid ability: Greater accelerated brain aging for thickness, but smaller for surface area, in high cognitive ability individuals
dc.creator.none.fl_str_mv Santonja, Javier
Román, Francisco J.
Martínez Rodríguez, Kenia
Escorial Martín, Sergio
Álvarez Linera, Juan
Privado Zamorano, Jesús
Quiroga Estévez, María Ángeles
Santarnecchi, Emiliano
Iturria Medina, Yasser
Colom, Roberto
author Santonja, Javier
author_facet Santonja, Javier
Román, Francisco J.
Martínez Rodríguez, Kenia
Escorial Martín, Sergio
Álvarez Linera, Juan
Privado Zamorano, Jesús
Quiroga Estévez, María Ángeles
Santarnecchi, Emiliano
Iturria Medina, Yasser
Colom, Roberto
author_role author
author2 Román, Francisco J.
Martínez Rodríguez, Kenia
Escorial Martín, Sergio
Álvarez Linera, Juan
Privado Zamorano, Jesús
Quiroga Estévez, María Ángeles
Santarnecchi, Emiliano
Iturria Medina, Yasser
Colom, Roberto
author2_role author
author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Universidad Complutense de Madrid
dc.subject.none.fl_str_mv Brain age
Cognitive ability
Structural MRI
Cortical thickness
Cortical surface area
Aptitudes e inteligencia (Psicología)
Neuropsicología
6106.01 Actividad Cerebral
6105.04 Estadística
6106.07 Procesos Mentales
topic Brain age
Cognitive ability
Structural MRI
Cortical thickness
Cortical surface area
Aptitudes e inteligencia (Psicología)
Neuropsicología
6106.01 Actividad Cerebral
6105.04 Estadística
6106.07 Procesos Mentales
description Biological (BA) and chronological (CA) age may or may not fit. The available evidence reveals remarkable individual differences in the overlap/mismatch between BA and CA. Increased mismatch can be interpreted as delayed (BA/CA < 1) or accelerated biological aging (BA/CA > 1). Body and brain health are correlated and both predict aging outcomes associated with physical and mental fitness. Moreover, research has shown that older brain age at midlife correlates negatively with cognitive ability measured in early childhood, which suggests early life predisposition to accelerated aging in adulthood. Under this framework, here we test if increased cognitive ability is associated with delayed brain aging, analyzing structural MRI data of 188 individuals, sixty of whom were recruited from MENSA, an association comprising individuals who obtained cognitive ability scores in the top 2 percent of the population. These high ability individuals (HCA) showed an average advantage of 33 IQ points, on a fluid reasoning test they completed for this research, over those other recruited because of their average cognitive ability (ACA). Next, brain age was computed at the individual level for two distinguishable neocortical features (thickness and surface area) according to models trained in an independent large-scale sample of 2377 individuals. Results revealed a stronger pattern of accelerated brain aging in HCA compared to ACA individuals for thickness, while the opposite pattern was suggested for surface area. The findings align well with the greater relevance of individual differences in cortical surface area for enhancing our understanding of cognitive differences at the brain level.
publishDate 2021
dc.date.none.fl_str_mv 2021
2021-07-01
2021
2021-07-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
AM
http://purl.org/coar/version/c_ab4af688f83e57aa
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/20.500.14352/117961
url https://hdl.handle.net/20.500.14352/117961
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.relation.none.fl_str_mv Agencia Estatal de Investigación http://dx.doi.org/10.13039/501100011033 Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016 PSI2017-82218-P NEUROMARCADORES ESTRUCTURALES Y FUNCIONALES DE LA ALTA CAPACIDAD COGNITIVA GENERAL (G)
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:Docta Complutense
instname:Universidad Complutense de Madrid (UCM)
instname_str Universidad Complutense de Madrid (UCM)
reponame_str Docta Complutense
collection Docta Complutense
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869420804936040448
score 15,812455

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