BACKGROUND: The objective of this study was to validate disease-related metabolic brain patterns for Parkinson's disease, multiple system atrophy, and progressive supranuclear palsy. METHODS: The study included 20 patients with Parkinson's disease, 21 with multiple system atrophy, and 17 with progressive supranuclear palsy, all of whom had undergone a clinically motivated [18F]-fluoro-deoxyglucose positron emission tomography scan at an early stage of their disease. At a follow-up time after the scan of 2-4 years, a clinical diagnosis was made according to established clinical research criteria. Patient groups were compared with 18 healthy controls using a multivariate covariance image analysis technique called scaled subprofile model/principal component analysis. RESULTS: Disease-related metabolic brain patterns for these parkinsonian disorders were identified. Validation showed that these patterns were highly discriminative of the 3 disorders. CONCLUSIONS: Early diagnosis of parkinsonian disorders is feasible when the expression of disease-related metabolic brain patterns is quantified at a single-subject level.
BACKGROUND: The objective of this study was to validate disease-related metabolic brain patterns for Parkinson's disease, multiple system atrophy, and progressive supranuclear palsy. METHODS: The study included 20 patients with Parkinson's disease, 21 with multiple system atrophy, and 17 with progressive supranuclear palsy, all of whom had undergone a clinically motivated [18F]-fluoro-deoxyglucose positron emission tomography scan at an early stage of their disease. At a follow-up time after the scan of 2-4 years, a clinical diagnosis was made according to established clinical research criteria. Patient groups were compared with 18 healthy controls using a multivariate covariance image analysis technique called scaled subprofile model/principal component analysis. RESULTS: Disease-related metabolic brain patterns for these parkinsonian disorders were identified. Validation showed that these patterns were highly discriminative of the 3 disorders. CONCLUSIONS: Early diagnosis of parkinsonian disorders is feasible when the expression of disease-related metabolic brain patterns is quantified at a single-subject level.
Authors: Yilong Ma; Tom H Johnston; Shichun Peng; Chuantao Zuo; James B Koprich; Susan H Fox; Yihui Guan; David Eidelberg; Jonathan M Brotchie Journal: Mov Disord Date: 2015-08 Impact factor: 10.338
Authors: Petra Tomše; Luka Jensterle; Sebastijan Rep; Marko Grmek; Katja Zaletel; David Eidelberg; Vijay Dhawan; Yilong Ma; Maja Trošt Journal: Phys Med Date: 2017-02-07 Impact factor: 2.685
Authors: An Vo; Wataru Sako; Koji Fujita; Shichun Peng; Paul J Mattis; Frank M Skidmore; Yilong Ma; Aziz M Uluğ; David Eidelberg Journal: Hum Brain Mapp Date: 2016-05-21 Impact factor: 5.038