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Abstract
Network analysis of functional brain imaging data is an innovative approach to study
circuit abnormalities in neurodegenerative diseases. In Parkinson's disease, spatial
covariance analysis of resting-state metabolic images has identified specific regional
patterns associated with motor and cognitive symptoms. With functional imaging, these
metabolic networks have recently been used to measure system-related progression and
to evaluate novel treatment strategies. Network analysis is also being used to characterize
specific functional biomarkers for Huntington's disease and Alzheimer's disease. These
networks have been particularly helpful in uncovering compensatory mechanisms in genetically
at-risk individuals. Ongoing developments in network applications are likely to enhance
the role of functional imaging in the investigation of neurodegenerative disorders.