2020
DOI: 10.1371/journal.pone.0230298
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Cortical thickness and its associations with age, total cognition and education across the adult lifespan

Abstract: Early-life education (years of schooling) has been investigated in regards to cognition, health outcomes and mortality. It has been shown to confer cognitive reserve that might lessen the impact of brain pathology and its impact on cognitive and motor functioning in a variety of neurodegenerative diseases and, for instance, to influence electrical activity [Begum, T., Reza, F., Ahmed, I., & Abdullah, J. M. (2014). Influence of education level on design-induced N170 and P300 components of event related potentia… Show more

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Cited by 32 publications
(22 citation statements)
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“…The results, however, are less consistent. While Brito et al (2017) reported that thinner cortical thickness predicted higher language performance, the very recent study of Habeck et al (2020) showed no association between cortical thickness (even for language areas) and language competence measured by standard psychometric tests.…”
Section: Introductionmentioning
confidence: 94%
“…The results, however, are less consistent. While Brito et al (2017) reported that thinner cortical thickness predicted higher language performance, the very recent study of Habeck et al (2020) showed no association between cortical thickness (even for language areas) and language competence measured by standard psychometric tests.…”
Section: Introductionmentioning
confidence: 94%
“…Prominent accounts of heterogeneity in neural and behavioral aging postulate that this is the case, arguing that education acts as a modifiable protective factor ( 1 ) or cognitive reserve ( 2 , 3 ) of human neurocognitive aging. However, findings from cross-sectional studies provide only inconclusive support for an association between education and neurocognitive level in aging ( 4 7 ), and the longitudinal support for an influence of education on age-related neurocognitive change is even more elusive. In fact, a comprehensive review recently concluded that level of education does not reliably influence the rate of cognitive decline in aging ( 8 ).…”
mentioning
confidence: 99%
“…As reported by Melikyan et al (2019) , compared with the oldest-old population in the United States ( He and Muenchrath, 2011 ), the cognitively normal sample in The 90 + Study has a higher proportion of Caucasians (98.5% vs. 88%) and a higher percentage of individuals with more than a high school education (78% vs. 28%). Previous research has shown that differences in sex and education may account for cognitive test performance ( Hall et al, 2007 ; van Hooren et al, 2007 ), and cortical thickness ( Seo et al, 2011 ; Habeck et al, 2020 ; Steffener, 2021 ). As reported in Tables 1 , 2 , the overall TCP NACC sample was 61% female with had an average of 15 years of education, while The 90 + Study sample was 64% female and 46% college educated and above.…”
Section: Discussionmentioning
confidence: 99%