Mapping individualised patterns of atrophy in Alzheimer’s disease using neuroanatomical normative models

Alzheimer’s Disease (AD) is highly heterogeneous, with marked individual differences in clinical presentation and aspects of its neurobiology. Neuroanatomical normative modelling is an emerging technique that reveals individual patterns of neuroanatomy by quantifying deviations from normative ranges (Verdi et al., 2021). Using Alzheimer’s Disease Neuroimaging Initiative (ADNI) data, we applied a hierarchical Bayesian regression (HBR) normative model to account for site effects (Kia et al., 2021). We assessed individual patterns of cortical thickness (CT) heterogeneity in AD patients, people with mild cognitive impairment (MCI), and healthy controls.