Probing multiple algorithms to calculate brain age: Examining reliability, relations with demographics, and predictive power.

ABSTRACT: The calculation of so-called "brain age" from structural MRIs has been an emerging biomarker in aging research. Data suggests that discrepancies between chronological age and the predicted age of the brain may be predictive of mortality and morbidity (for review, see Cole, Marioni, Harris, & Deary, 2019). However, with these promising results come technical complexities of how to calculate brain age. Various groups have deployed methods leveraging different statistical approaches, often crafting novel algorithms for assessing this biomarker derived from structural MRIs. There remain many open questions about the reliability, collinearity, and predictive power of different algorithms. Here, we complete a rigorous systematic comparison of three commonly used, previously published brain age a

SUBMITTER: Bacas E 

PROVIDER: S-EPMC10203791 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature