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Modeling brain‐predicted age from functional connectivity in early‐stage and preclinical Alzheimer disease

The “brain‐predicted age” approach summarizes complex age relationships with neuroimaging features by quantifying apparent brain age compared to normative trajectories. Advanced brain‐predicted age has been observed in many studies of symptomatic Alzheimer disease (AD), but the effects of preclinical AD have not been investigated. Prior studies have typically modeled brain aging with structural MRI, but other modalities, including resting‐state functional connectivity (FC), are underexplored. Here we modeled FC‐predicted brain age and tested its relationships with preclinical and symptomatic AD.