Metabolic imaging in the rest state has provided valuable information concerning the
abnormalities of regional brain function that underlie idiopathic Parkinson's disease (PD).
Moreover, network modeling procedures, such as spatial covariance analysis, have further
allowed for the quantification of these changes at the systems level. In recent years, we have
utilized this strategy to identify and validate three discrete metabolic networks in PD
associated with the motor and cognitive manifestations of the disease. In this chapter, we will …