Statistical parametric mapping analysis of 18 F-FDG PET in Parkinson's disease with mild cognitive impairment

Zhonghua yi xue za zhi
J S ChuF G Meng

Abstract

Objective: To investigate the characteristics of cerebral metabolism associated with mild cognitive impairment (MCI) Parkinson's disease (PD), cognitive normal PD and normal control to find a PET biomarker for the diagnose and estimate of PD-MCI. Methods: Forty-seven patients diagnosed with PD (included 15 with mild cognitive impairment) and 20 control subjects were enrolled. All the subjects were evaluated with FDG-PET and clinical scale. The statistical parametric mapping (SPM) were analyzed to determine metabolic patterns that may be useful in differentiating between the three groups. Results: SPM analysis showed that significant hypometabolism were observed in both side of front lobe, parietal lobe, left temporal lobe and left occipital lobe; in the contrast, the relative hypermetabolism had been observed in the cerebellum, vermis, hippocampus and supplement motor area (SMA) in patients with PD-MCI. PD without MCI showed hypometabolism in both side of front lob, caudate and putamen. PD-MCI showed that the significant hypermetabolism were in the insular and cerebellum while hypometabolism were in the both side of occipital compared to PD without MCI. Conclusion: A voxel-by-voxel based SPM method i. e. SPM8 analysis by PET sc...Continue Reading

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