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Education differentiates cognitive performance and resting state fMRI connectivity in healthy aging

OBJECTIVES: In healthy aging, the way people cope differently with cognitive and neural decline is influenced by exposure to cognitively enriching life-experiences. Education is one of them, so that in general, the higher the education, the better the expected cognitive performance in aging. At the...

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Autores principales: Montemurro, Sonia, Filippini, Nicola, Ferrazzi, Giulio, Mantini, Dante, Arcara, Giorgio, Marino, Marco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10244540/
https://www.ncbi.nlm.nih.gov/pubmed/37293663
http://dx.doi.org/10.3389/fnagi.2023.1168576
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author Montemurro, Sonia
Filippini, Nicola
Ferrazzi, Giulio
Mantini, Dante
Arcara, Giorgio
Marino, Marco
author_facet Montemurro, Sonia
Filippini, Nicola
Ferrazzi, Giulio
Mantini, Dante
Arcara, Giorgio
Marino, Marco
author_sort Montemurro, Sonia
collection PubMed
description OBJECTIVES: In healthy aging, the way people cope differently with cognitive and neural decline is influenced by exposure to cognitively enriching life-experiences. Education is one of them, so that in general, the higher the education, the better the expected cognitive performance in aging. At the neural level, it is not clear yet how education can differentiate resting state functional connectivity profiles and their cognitive underpinnings. Thus, with this study, we aimed to investigate whether the variable education allowed for a finer description of age-related differences in cognition and resting state FC. METHODS: We analyzed in 197 healthy individuals (137 young adults aged 20–35 and 60 older adults aged 55–80 from the publicly available LEMON database), a pool of cognitive and neural variables, derived from magnetic resonance imaging, in relation to education. Firstly, we assessed age-related differences, by comparing young and older adults. Then, we investigated the possible role of education in outlining such differences, by splitting the group of older adults based on their education. RESULTS: In terms of cognitive performance, older adults with higher education and young adults were comparable in language and executive functions. Interestingly, they had a wider vocabulary compared to young adults and older adults with lower education. Concerning functional connectivity, the results showed significant age- and education-related differences within three networks: the Visual-Medial, the Dorsal Attentional, and the Default Mode network (DMN). For the DMN, we also found a relationship with memory performance, which strengthen the evidence that this network has a specific role in linking cognitive maintenance and FC at rest in healthy aging. DISCUSSION: Our study revealed that education contributes to differentiating cognitive and neural profiles in healthy older adults. Also, the DMN could be a key network in this context, as it may reflect some compensatory mechanisms relative to memory capacities in older adults with higher education.
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spelling pubmed-102445402023-06-08 Education differentiates cognitive performance and resting state fMRI connectivity in healthy aging Montemurro, Sonia Filippini, Nicola Ferrazzi, Giulio Mantini, Dante Arcara, Giorgio Marino, Marco Front Aging Neurosci Neuroscience OBJECTIVES: In healthy aging, the way people cope differently with cognitive and neural decline is influenced by exposure to cognitively enriching life-experiences. Education is one of them, so that in general, the higher the education, the better the expected cognitive performance in aging. At the neural level, it is not clear yet how education can differentiate resting state functional connectivity profiles and their cognitive underpinnings. Thus, with this study, we aimed to investigate whether the variable education allowed for a finer description of age-related differences in cognition and resting state FC. METHODS: We analyzed in 197 healthy individuals (137 young adults aged 20–35 and 60 older adults aged 55–80 from the publicly available LEMON database), a pool of cognitive and neural variables, derived from magnetic resonance imaging, in relation to education. Firstly, we assessed age-related differences, by comparing young and older adults. Then, we investigated the possible role of education in outlining such differences, by splitting the group of older adults based on their education. RESULTS: In terms of cognitive performance, older adults with higher education and young adults were comparable in language and executive functions. Interestingly, they had a wider vocabulary compared to young adults and older adults with lower education. Concerning functional connectivity, the results showed significant age- and education-related differences within three networks: the Visual-Medial, the Dorsal Attentional, and the Default Mode network (DMN). For the DMN, we also found a relationship with memory performance, which strengthen the evidence that this network has a specific role in linking cognitive maintenance and FC at rest in healthy aging. DISCUSSION: Our study revealed that education contributes to differentiating cognitive and neural profiles in healthy older adults. Also, the DMN could be a key network in this context, as it may reflect some compensatory mechanisms relative to memory capacities in older adults with higher education. Frontiers Media S.A. 2023-05-24 /pmc/articles/PMC10244540/ /pubmed/37293663 http://dx.doi.org/10.3389/fnagi.2023.1168576 Text en Copyright © 2023 Montemurro, Filippini, Ferrazzi, Mantini, Arcara and Marino. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Montemurro, Sonia
Filippini, Nicola
Ferrazzi, Giulio
Mantini, Dante
Arcara, Giorgio
Marino, Marco
Education differentiates cognitive performance and resting state fMRI connectivity in healthy aging
title Education differentiates cognitive performance and resting state fMRI connectivity in healthy aging
title_full Education differentiates cognitive performance and resting state fMRI connectivity in healthy aging
title_fullStr Education differentiates cognitive performance and resting state fMRI connectivity in healthy aging
title_full_unstemmed Education differentiates cognitive performance and resting state fMRI connectivity in healthy aging
title_short Education differentiates cognitive performance and resting state fMRI connectivity in healthy aging
title_sort education differentiates cognitive performance and resting state fmri connectivity in healthy aging
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10244540/
https://www.ncbi.nlm.nih.gov/pubmed/37293663
http://dx.doi.org/10.3389/fnagi.2023.1168576
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