The goal of this proposal, "Dynamic disease-monitoring network biomarkers for tracking frontotemporal dementia" is to develop novel neuroimaging methods for detecting and monitoring understudied clinical subtypes of frontotemporal dementia (FTD). Recent work in our laboratory and others' has developed new tools for mapping the inherent connectivity among brain regions in health and disease. Through the proposed research, we seek to develop these "network-based" methods as biomarkers for detecting early-stage FTD and monitoring its progression. We aim to overcome key methodological challenges, validate optimized methods in understudied FTD clinical groups, and explore whether network-based techniques can provide a single, unified biomarker for use across the diverse spectrum of FTD-related illness.