Learning Objectives: On successful completion of this activity, participants should be able to (1) describe the clinical demand and rationale for differential diagnosis in parkinsonism, (2) recognize and differentiate the disease-specific patterns of regional glucose metabolism associated with Parkinson disease and the different atypical parkinsonian syndromes, and (3) identify regional metabolic changes that predict cognitive decline in Parkinson disease.Financial Disclosure: Dr. Meyer receives support from GE and Piramal for a research study outside the present topic. The authors of this article have indicated no other relevant relationships that could be perceived as a real or apparent conflict of interest. CME Credit: SNMMI is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to sponsor continuing education for physicians. SNMMI designates each JNM continuing education article for a maximum of 2.0 AMA PRA category 1 credits. Physicians should claim only credit commensurate with the extent of their participation in the activity. For CE credit, SAM, and other credit types, participants can access this activity through the SNMMI website (http://www.snmmilearningcenter.org) through December 2020.Accurate differential diagnosis of parkinsonism is of paramount therapeutic and prognostic importance. In addition, with the development of invasive therapies and novel disease-specific therapies, strategies for patient enrichment in trial populations are of growing importance. Imaging disease-specific patterns of regional glucose metabolism with PET and 18 F-FDG allows for a highly accurate distinction between Parkinson disease (PD) and atypical parkinsonian syndromes, including multiple-system atrophy, progressive supranuclear palsy, and corticobasal degeneration. On the basis of a preliminary metaanalysis of currently available studies with inclusion of multiple disease groups, we estimated that the diagnostic sensitivity and specificity for visual PET readings supported by voxel-based statistical analyses for diagnosis of atypical parkinsonian syndromes are 91.4% and 90.6%, respectively. The diagnostic specificity of 18 F-FDG PET for diagnosing multiple-system atrophy, progressive supranuclear palsy, and corticobasal degeneration was consistently shown to be high (.90%), whereas sensitivity was more variable (.75%). It is increasingly acknowledged that cognitive impairment represents a major challenge in PD, with mild cognitive impairment being a prodromal stage of PD with dementia (PDD). In line with clinical and neuropsychologic studies, recent PET studies demonstrated that posterior cortical dysfunction in nondemented PD patients precedes cognitive decline and the development of PDD by several years. Taken together, the current literature underscores the utility of 18 F-FDG PET for diagnostic evaluation of parkinsonism and the promising role of 18 F-FDG PET for assessment and risk stratification of cognitive impairment in PD.