Metabolic brain networks in neurodegenerative disorders: a functional imaging approach.
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.
Eidelberg
David
D
Center for Neurosciences, The Feinstein Institute for Medical Research, North Shore-LIJ Health System, Manhasset, NY, USA. david1@nshs.edu
D000544:Alzheimer Disease / Q000000981:diagnostic imaging / Q000378:metabolism; D001921:Brain / Q000000981:diagnostic imaging / Q000378:metabolism*; D018450:Disease Progression; D006801:Humans; D006816:Huntington Disease / Q000000981:diagnostic imaging / Q000378:metabolism; D008279:Magnetic Resonance Imaging / Q000379:methods*; D009434:Neural Pathways / Q000187:drug effects / Q000378:metabolism*; D019636:Neurodegenerative Diseases / Q000000981:diagnostic imaging / Q000378:metabolism*; D010300:Parkinson Disease / Q000000981:diagnostic imaging / Q000378:metabolism / Q000628:therapy; D049268:Positron-Emission Tomography / Q000379:methods*