Connectome-based predictive modeling of brain pathology and cognition in Autosomal Dominant Alzheimer's Disease.

Autosomal Dominant Alzheimer's Disease (ADAD) through genetic mutations can result in near complete expression of the disease. Tracking AD pathology development in an ADAD cohort of Presenilin-1 ( Resting-state functional Magnetic Resonance Imaging (fMRI) and Positron-Emission Tomography (PET) scans were acquired in a group of CPM models strongly predicted tau concentrations and cognitive scores within the carrier group. The connectivity patterns between the temporal cortex, default mode network, and other memory networks were the most informative of tau burden. These results indicate that resting-state fMRI methods can complement PET methods in early detection and monitoring of disease progression in ADAD.