Uncovering amyloid-tau-neurodegeneration (A-T-N) patterns may improve diagnostic prediction.<h4>Methods</h4>We applied SuperBigFLICA (SBF), a semi-supervised multimodal fusion method, to gray matter density, cortical thickness (CT), pial surface area, amyloid and tau positron emission tomography maps from 274 Alzheimer's Disease Neuroimaging Initiative 3 participants to derive 50 latent components predictive of cognitive decline. The gene discussed is MAPT; the disease is Mental deterioration.