Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6029222 | NeuroImage | 2013 | 6 Pages |
Abstract
Prior evidence has suggested a link between caudate dopaminergic functioning and cognition in Parkinson's disease (PD). In this dual tracer study we analyzed the relationship between nigrostriatal dopaminergic dysfunction and the expression of the previously validated PD cognition-related metabolic pattern (PDCP). In this study, 17 non-demented PD patients underwent positron emission tomography (PET) imaging with [18F]-fluorodeoxyglucose to measure PDCP expression, and [18F]-fluoropropyl-β-CIT (FPCIT) to measure dopamine transporter (DAT) binding. Automated voxel-by-voxel searches of the FPCIT PET volumes were performed to identify regions in which DAT binding significantly correlated with PDCP expression values. The findings were validated using prespecified anatomical regions-of-interest (ROIs). Voxel-wise interrogation of the FPCIT PET scans revealed a single significant cluster in which DAT binding correlated with PDCP expression (p < 0.05, corrected). This cluster was localized to the left caudate nucleus; an analogous correlation (r = â 0.63, p < 0.01) was also present in the “mirror” region of the right hemisphere. These findings were confirmed by the presence of a significant correlation (r = â 0.67, p < 0.005) between PDCP expression and DAT binding in caudate ROIs, which survived adjustment for age, disease duration, and clinical severity ratings. Correlation between caudate DAT binding and subject expression of the PD motor-related metabolic pattern was not significant (p > 0.21). In summary, this study demonstrates a significant relationship between loss of dopaminergic input to the caudate nucleus and the expression of a cognition-related disease network in unmedicated PD patients. These baseline measures likely function in concert to determine the cognitive effects of dopaminergic therapy in PD.
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Cognitive Neuroscience
Authors
Martin Niethammer, Chris C. Tang, Yilong Ma, Paul J. Mattis, Ji Hyun Ko, Vijay Dhawan, David Eidelberg,