Defining reference models for population variation, and the ability to study individual
deviations is essential for understanding inter-individual variability and its relation to the
onset and progression of medical conditions. In this work, we assembled a reference cohort
of neuroimaging data from 82 sites (N= 58,836; ages 2–100) and used normative modeling
to characterize lifespan trajectories of cortical thickness and subcortical volume. Models are
validated against a manually quality checked subset (N= 24,354) and we provide an …

Defining reference models for population variation, and the ability to study individual
deviations is essential for understanding inter-individual variability and its relation to the
onset and progression of medical conditions. In this work, we assembled a reference cohort
of neuroimaging data from 82 sites (N= 58,836; ages 2–100) and used normative modeling
to characterize lifespan trajectories of cortical thickness and subcortical volume. Models are
validated against a manually quality checked subset (N= 24,354) and we provide an …