… ) brain age prediction would constitute a reliable and sensitive method for characterizing
individual level brain … For each individual and for each model, we calculated the brain age gap (…

… 5 models were trained for each modality and used to predict brain age individually. The
mean and the standard deviation of the single model performances were computed within each …

… stable characteristic of an individual across adolescence and … reflect decelerated aging/slower
maturation. Pace of aging … with our previous work on brain age gap (BrainAGE) in the …

… person’s brain can be estimated from structural brain images using an aggregate measure
of variation in morphology across the whole brain… for abnormal brain maturation (25). The …

… And third, we test associations of brain age gap with aspects of an individual’s time horizon
… , where lower relative brain age could reflect delayed brain maturation and may therefore be …

… to be representative of any single individual. Deep learning, … , to explore the associations
of brain age delta with the UK … of this work beyond the current brain age literature on the UK …

… first to examine brain aging in over 6900 individuals from the … Our additional aim was to
build a new multisite brain age … developmental trajectories by sex [26], we estimated brain age …

… Brain age prediction based on neuroimaging data could help characterize both the typical
brain development … into the brain age prediction model, we first identify subject-specific ICNs …

… to make prediction of brain age. We observed that individual's functional network architecture
was … from resting state fMRI data to model brain development across lifespan. Based on our …

… We find close-to-zero added brain age variance explained by models including single bio-psycho-social
variables (Table 2). Principal components of the health and lifestyle, life …