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Dataset Information

Factors Influencing Change in Brain-Predicted Age Difference in a Cohort of Healthy Older Individuals.


ABSTRACT:

Background

There is considerable variability in the rate at which we age biologically, and the brain is particularly susceptible to the effects of aging.

Objective

We examined the test-retest reliability of brain age at one- and three-year intervals and identified characteristics that predict the longitudinal change in brain-predicted age difference (brain-PAD, defined by deviations of brain age from chronological age).

Methods

T1-weighted magnetic resonance images were acquired at three timepoints from 497 community-dwelling adults (73.8±3.5 years at baseline, 48% were female). Brain age was estimated from whole brain volume, using a publicly available algorithm trained on an independent dataset. Linear mixed models were used, adjusting for sex, age, and age2

SUBMITTER: Wrigglesworth J 

PROVIDER: S-EPMC9108625 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature