Individual variations in 'brain age' relate to early-life factors more than to longitudinal brain change.
Ontology highlight
ABSTRACT: Brain age is a widely used index for quantifying individuals' brain health as deviation from a normative brain aging trajectory. Higher-than-expected brain age is thought partially to reflect above-average rate of brain aging. Here, we explicitly tested this assumption in two independent large test datasets (UK Biobank [main] and Lifebrain [replication]; longitudinal observations ≈ 2750 and 4200) by assessing the relationship between cross-sectional and longitudinal estimates of brain age. Brain age models were estimated in two different training datasets (n ≈ 38,000 [main] and 1800 individuals [replication]) based on brain structural features. The results showed no association between cross-sectional brain age and the rate of brain change measured longitudinall
SUBMITTER: Vidal-Pineiro D
PROVIDER: S-EPMC8580481 | biostudies-literature | 2021 Nov
REPOSITORIES: biostudies-literature
ACCESS DATA