Brain-age prediction: Systematic evaluation of site effects, and sample age range and size.

ABSTRACT: Structural neuroimaging data have been used to compute an estimate of the biological age of the brain (brain-age) which has been associated with other biologically and behaviorally meaningful measures of brain development and aging. The ongoing research interest in brain-age has highlighted the need for robust and publicly available brain-age models pre-trained on data from large samples of healthy individuals. To address this need we have previously released a developmental brain-age model. Here we expand this work to develop, empirically validate, and disseminate a pre-trained brain-age model to cover most of the human lifespan. To achieve this, we selected the best-performing model after systematically examining the impact of seven site harmonization strategies, age range, and sample si

SUBMITTER: Yu Y 

PROVIDER: S-EPMC11215839 | biostudies-literature | 2024 Jul

REPOSITORIES: biostudies-literature