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

Authors: Melis Anaturk; Tobias Kaufmann; James Howard Cole; Sana Suri; Ludovica Griffanti; Enikő Zsoldos; Nicola Filippini; +5 Authors

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

Abstract

AbstractThe 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.

Countries
United Kingdom, United Kingdom, Norway
Keywords

Male, lifestyle, Aging, Cognitive Neuroscience, Intelligence, 610, 618, Cohort Studies, Machine Learning, bepress|Life Sciences|Neuroscience and Neurobiology, Cognitive Reserve, trajectories, Humans, bepress|Life Sciences|Neuroscience and Neurobiology|Cognitive Neuroscience, Life Style, Research Articles, Aged, Aged, 80 and over, neuroimaging, aging, Age Factors, Brain, Middle Aged, cognitive reserve, Magnetic Resonance Imaging, PsyArXiv|Neuroscience|Cognitive Neuroscience, machine learning, PsyArXiv|Neuroscience, brain maintenance, Female, Neuroscience

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    113
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
113
Top 1%
Top 10%
Top 1%
Green
gold