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Alzheimer’s Disease (AD) is caused by an accumulation of pathogenic proteins, which spread in the brain in disease-specific patterns. We can learn the underlying spreading mechanisms using Network Propagation Models, which attempt to explain disease progression in terms of spatial propagation through brain networks. By using DTI data of healthy subjects and AV45-PET data of AD patients we can predict patterns of amyloid deposition and reveal which mechanisms best explain AD.
This presentation is part of Minisymposium “MS18 - Functional neuroimaging methods for experimental data”
organized by: Anna Maria Massone (CNR - SPIN) .