ABSTRACT This talk will explore how multimodal neuroimaging integrates different biomarkers to improve the diagnosis and differentiation of neurodegenerative diseases, using advanced combinations of MRI, FDG-PET, and amyloid PET. Recent diagnostic algorithms suggest optimal sequencing of these techniques for greater specificity and sensitivity. The second focus is on understanding disease mechanisms, such as disconnection syndromes and lesion propagation, which provide insights into AD pathophysiology. Emerging imaging modalities, including dual-phase PET and AI-enhanced analysis, pave the way for personalized prediction of disease trajectories and future therapeutic strategies.