Recurrent Graph Attention over Longitudinal Brain Networks Predicts Conversion from Mild Cognitive Impairment to Alzheimer’s Disease
Predicting progression from mild cognitive impairment (MCI) to Alzheimer’s disease (AD) requires models that represent both regional brain abnormalities and their evolution across repeated examinations. We developed a longitudinal graph neural network that integrates structural magnetic resonance imaging, FDG-PET, regi...