Cargando…

Prediction of brain age and cognitive age: Quantifying brain and cognitive maintenance in aging

The concept of brain maintenance refers to the preservation of brain integrity in older age, while cognitive reserve refers to the capacity to maintain cognition in the presence of neurodegeneration or aging‐related brain changes. While both mechanisms are thought to contribute to individual differe...

Descripción completa

Detalles Bibliográficos
Autores principales: Anatürk, Melis, Kaufmann, Tobias, Cole, James H., Suri, Sana, Griffanti, Ludovica, Zsoldos, Enikő, Filippini, Nicola, Singh‐Manoux, Archana, Kivimäki, Mika, Westlye, Lars T., Ebmeier, Klaus P., de Lange, Ann‐Marie G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7978127/
https://www.ncbi.nlm.nih.gov/pubmed/33314530
http://dx.doi.org/10.1002/hbm.25316
_version_ 1783667159063330816
author Anatürk, Melis
Kaufmann, Tobias
Cole, James H.
Suri, Sana
Griffanti, Ludovica
Zsoldos, Enikő
Filippini, Nicola
Singh‐Manoux, Archana
Kivimäki, Mika
Westlye, Lars T.
Ebmeier, Klaus P.
de Lange, Ann‐Marie G.
author_facet Anatürk, Melis
Kaufmann, Tobias
Cole, James H.
Suri, Sana
Griffanti, Ludovica
Zsoldos, Enikő
Filippini, Nicola
Singh‐Manoux, Archana
Kivimäki, Mika
Westlye, Lars T.
Ebmeier, Klaus P.
de Lange, Ann‐Marie G.
author_sort Anatürk, Melis
collection PubMed
description The concept of brain maintenance refers to the preservation of brain integrity in older age, while cognitive reserve refers to the capacity to maintain cognition in the presence of neurodegeneration or aging‐related brain changes. While both mechanisms are thought to contribute to individual differences in cognitive function among older adults, there is currently no “gold standard” for measuring these constructs. Using machine‐learning methods, we estimated brain and cognitive age based on deviations from normative aging patterns in the Whitehall II MRI substudy cohort (N = 537, age range = 60.34–82.76), and tested the degree of correspondence between these constructs, as well as their associations with premorbid IQ, education, and lifestyle trajectories. In line with established literature highlighting IQ as a proxy for cognitive reserve, higher premorbid IQ was linked to lower cognitive age independent of brain age. No strong evidence was found for associations between brain or cognitive age and lifestyle trajectories from midlife to late life based on latent class growth analyses. However, post hoc analyses revealed a relationship between cumulative lifestyle measures and brain age independent of cognitive age. In conclusion, we present a novel approach to characterizing brain and cognitive maintenance in aging, which may be useful for future studies seeking to identify factors that contribute to brain preservation and cognitive reserve mechanisms in older age.
format Online
Article
Text
id pubmed-7978127
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher John Wiley & Sons, Inc.
record_format MEDLINE/PubMed
spelling pubmed-79781272021-03-23 Prediction of brain age and cognitive age: Quantifying brain and cognitive maintenance in aging Anatürk, Melis Kaufmann, Tobias Cole, James H. Suri, Sana Griffanti, Ludovica Zsoldos, Enikő Filippini, Nicola Singh‐Manoux, Archana Kivimäki, Mika Westlye, Lars T. Ebmeier, Klaus P. de Lange, Ann‐Marie G. Hum Brain Mapp Research Articles The concept of brain maintenance refers to the preservation of brain integrity in older age, while cognitive reserve refers to the capacity to maintain cognition in the presence of neurodegeneration or aging‐related brain changes. While both mechanisms are thought to contribute to individual differences in cognitive function among older adults, there is currently no “gold standard” for measuring these constructs. Using machine‐learning methods, we estimated brain and cognitive age based on deviations from normative aging patterns in the Whitehall II MRI substudy cohort (N = 537, age range = 60.34–82.76), and tested the degree of correspondence between these constructs, as well as their associations with premorbid IQ, education, and lifestyle trajectories. In line with established literature highlighting IQ as a proxy for cognitive reserve, higher premorbid IQ was linked to lower cognitive age independent of brain age. No strong evidence was found for associations between brain or cognitive age and lifestyle trajectories from midlife to late life based on latent class growth analyses. However, post hoc analyses revealed a relationship between cumulative lifestyle measures and brain age independent of cognitive age. In conclusion, we present a novel approach to characterizing brain and cognitive maintenance in aging, which may be useful for future studies seeking to identify factors that contribute to brain preservation and cognitive reserve mechanisms in older age. John Wiley & Sons, Inc. 2020-12-14 /pmc/articles/PMC7978127/ /pubmed/33314530 http://dx.doi.org/10.1002/hbm.25316 Text en © 2020 The Authors. Human Brain Mapping published by Wiley Periodicals LLC. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Anatürk, Melis
Kaufmann, Tobias
Cole, James H.
Suri, Sana
Griffanti, Ludovica
Zsoldos, Enikő
Filippini, Nicola
Singh‐Manoux, Archana
Kivimäki, Mika
Westlye, Lars T.
Ebmeier, Klaus P.
de Lange, Ann‐Marie G.
Prediction of brain age and cognitive age: Quantifying brain and cognitive maintenance in aging
title Prediction of brain age and cognitive age: Quantifying brain and cognitive maintenance in aging
title_full Prediction of brain age and cognitive age: Quantifying brain and cognitive maintenance in aging
title_fullStr Prediction of brain age and cognitive age: Quantifying brain and cognitive maintenance in aging
title_full_unstemmed Prediction of brain age and cognitive age: Quantifying brain and cognitive maintenance in aging
title_short Prediction of brain age and cognitive age: Quantifying brain and cognitive maintenance in aging
title_sort prediction of brain age and cognitive age: quantifying brain and cognitive maintenance in aging
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7978127/
https://www.ncbi.nlm.nih.gov/pubmed/33314530
http://dx.doi.org/10.1002/hbm.25316
work_keys_str_mv AT anaturkmelis predictionofbrainageandcognitiveagequantifyingbrainandcognitivemaintenanceinaging
AT kaufmanntobias predictionofbrainageandcognitiveagequantifyingbrainandcognitivemaintenanceinaging
AT colejamesh predictionofbrainageandcognitiveagequantifyingbrainandcognitivemaintenanceinaging
AT surisana predictionofbrainageandcognitiveagequantifyingbrainandcognitivemaintenanceinaging
AT griffantiludovica predictionofbrainageandcognitiveagequantifyingbrainandcognitivemaintenanceinaging
AT zsoldoseniko predictionofbrainageandcognitiveagequantifyingbrainandcognitivemaintenanceinaging
AT filippininicola predictionofbrainageandcognitiveagequantifyingbrainandcognitivemaintenanceinaging
AT singhmanouxarchana predictionofbrainageandcognitiveagequantifyingbrainandcognitivemaintenanceinaging
AT kivimakimika predictionofbrainageandcognitiveagequantifyingbrainandcognitivemaintenanceinaging
AT westlyelarst predictionofbrainageandcognitiveagequantifyingbrainandcognitivemaintenanceinaging
AT ebmeierklausp predictionofbrainageandcognitiveagequantifyingbrainandcognitivemaintenanceinaging
AT delangeannmarieg predictionofbrainageandcognitiveagequantifyingbrainandcognitivemaintenanceinaging