AUTHOR=Korbmacher Max , Gurholt Tiril P. , de Lange Ann-Marie G. , van der Meer Dennis , Beck Dani , Eikefjord Eli , Lundervold Arvid , Andreassen Ole A. , Westlye Lars T. , Maximov Ivan I. TITLE=Bio-psycho-social factors’ associations with brain age: a large-scale UK Biobank diffusion study of 35,749 participants JOURNAL=Frontiers in Psychology VOLUME=14 YEAR=2023 URL=https://www.frontiersin.org/journals/psychology/articles/10.3389/fpsyg.2023.1117732 DOI=10.3389/fpsyg.2023.1117732 ISSN=1664-1078 ABSTRACT=
Brain age refers to age predicted by brain features. Brain age has previously been associated with various health and disease outcomes and suggested as a potential biomarker of general health. Few previous studies have systematically assessed brain age variability derived from single and multi-shell diffusion magnetic resonance imaging data. Here, we present multivariate models of brain age derived from various diffusion approaches and how they relate to bio-psycho-social variables within the domains of sociodemographic, cognitive, life-satisfaction, as well as health and lifestyle factors in midlife to old age (