OBJECTIVE: To characterize brain metabolic changes associated with mild cognitive impairment (MCI) in drug-naive patients with Parkinson disease (PD) using (18)F-fluorodeoxyglucose (FDG) and PET (FDG-PET). METHODS: This cross-sectional study included newly diagnosed patients with PD with MCI in single or multiple domain (PD-MCI; n =12) and without MCI (PD-nMCI; n =12), and healthy controls (n =12). The groups were matched for age. Moreover, the patient groups were matched for motor disability. All subjects underwent a FDG-PET study. Cerebral regional relative metabolic maps were compared in PD-MCI, PD-nMCI, and controls using regions of interest analysis (ROIs) and voxel-based analysis with statistical parametric mapping. RESULTS: ROIs and voxel-based analyses revealed significant relative hypometabolism in the prefrontal, superior/inferior parietal, and associative occipital cortices as well as in the striatum in patients with PD-MCI relative to controls (p < 0.05) and to a lesser extent in patients with PD-nMCI. In contrast, patients with PD-nMCI did not show significant metabolic changes as compared to controls. CONCLUSION: MCI in patients with PD is associated with cortical hypometabolism since the earliest stage, independent of therapy or motor disability. The early involvement of posterior cortical region, a pattern shared by advanced stages of PD-MCI and PD with dementia, could represent an early marker of dementia. The relevance of this pattern in predicting prodromal dementia has to be evaluated in longitudinal studies.
OBJECTIVE: To characterize brain metabolic changes associated with mild cognitive impairment (MCI) in drug-naive patients with Parkinson disease (PD) using (18)F-fluorodeoxyglucose (FDG) and PET (FDG-PET). METHODS: This cross-sectional study included newly diagnosed patients with PD with MCI in single or multiple domain (PD-MCI; n =12) and without MCI (PD-nMCI; n =12), and healthy controls (n =12). The groups were matched for age. Moreover, the patient groups were matched for motor disability. All subjects underwent a FDG-PET study. Cerebral regional relative metabolic maps were compared in PD-MCI, PD-nMCI, and controls using regions of interest analysis (ROIs) and voxel-based analysis with statistical parametric mapping. RESULTS: ROIs and voxel-based analyses revealed significant relative hypometabolism in the prefrontal, superior/inferior parietal, and associative occipital cortices as well as in the striatum in patients with PD-MCI relative to controls (p < 0.05) and to a lesser extent in patients with PD-nMCI. In contrast, patients with PD-nMCI did not show significant metabolic changes as compared to controls. CONCLUSION: MCI in patients with PD is associated with cortical hypometabolism since the earliest stage, independent of therapy or motor disability. The early involvement of posterior cortical region, a pattern shared by advanced stages of PD-MCI and PD with dementia, could represent an early marker of dementia. The relevance of this pattern in predicting prodromal dementia has to be evaluated in longitudinal studies.
Authors: David Garcia-Garcia; Pedro Clavero; Carmen Gasca Salas; Isabel Lamet; Javier Arbizu; Rafael Gonzalez-Redondo; Jose A Obeso; Maria C Rodriguez-Oroz Journal: Eur J Nucl Med Mol Imaging Date: 2012-08-08 Impact factor: 9.236
Authors: Rafael González-Redondo; David García-García; Pedro Clavero; Carmen Gasca-Salas; Reyes García-Eulate; José L Zubieta; Javier Arbizu; José A Obeso; María C Rodríguez-Oroz Journal: Brain Date: 2014-06-20 Impact factor: 13.501
Authors: J A Obeso; M Stamelou; C G Goetz; W Poewe; A E Lang; D Weintraub; D Burn; G M Halliday; E Bezard; S Przedborski; S Lehericy; D J Brooks; J C Rothwell; M Hallett; M R DeLong; C Marras; C M Tanner; G W Ross; J W Langston; C Klein; V Bonifati; J Jankovic; A M Lozano; G Deuschl; H Bergman; E Tolosa; M Rodriguez-Violante; S Fahn; R B Postuma; D Berg; K Marek; D G Standaert; D J Surmeier; C W Olanow; J H Kordower; P Calabresi; A H V Schapira; A J Stoessl Journal: Mov Disord Date: 2017-09 Impact factor: 10.338
Authors: Sanne K Meles; Chris C Tang; Laura K Teune; Rudi A Dierckx; Vijay Dhawan; Paul J Mattis; Klaus L Leenders; David Eidelberg Journal: J Cereb Blood Flow Metab Date: 2015-06-10 Impact factor: 6.200