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Alzheimer’s disease is a progressive neurodegenerative disorder with extensive neuropathological heterogeneity. We aimed to identify distinct latent subgroups of neuropathology and differentiate them using sociodemographic, contextual, and cognitive factors. Participants without dementia from the Alzheimer’s Disease Neuroimaging Initiative (ADNI; n=1703) and the Czech Brain Aging Study (CBAS; n=385) were included. Latent profile analysis was used to detect profiles using 10 volumetric structural magnetic resonance imaging regions of interest derived using Freesurfer algorithm (hippocampus, middle temporal, superior temporal, precuneus, anterior cingulate, medial orbitofrontal, pericalcarine, precentral, lingual, and caudate regions). Four profiles emerged in ADNI: Minimal Atrophy (n=192), Mild Atrophy (n=691), Moderate Atrophy (n=567), Severe Atrophy (n=253). Two profiles emerged in CBAS: Mild …