title: Differentiating Patients with Parkinson's Disease from Normal Controls Using Gray Matter in the Cerebellum.
abstract: Parkinson's disease (PD) is one of the most common neurodegenerative disorders in the world. Previous studies have focused on the basal ganglia and cerebral cortices. To date, the cerebellum has not been systematically investigated in patients with PD. In the current study, 45 probable PD patients and 40 age- and gender-matched healthy controls underwent structural magnetic resonance imaging, and we used support vector machines combining with voxel-based morphometry to explore the cerebellar structural changes in the probable PD patients relative to healthy controls. The results revealed that the gray matter alterations were primarily located within the cerebellar Crus I, implying a possible important role of this region in PD. Furthermore, the gray matter alterations in the cerebellum could differentiate the probable PD patients from healthy controls with accuracies of more than 95 % (p < 0.001, permutation test) via cross-validation, suggesting the potential of analyzing the cerebellum in the clinical diagnosis of PD.
authors.affiliation: College of Mechatronics and Automation, National University of Defense Technology, Changsha, Hunan, 410073, People's Republic of China.
authors.forename: Ling-Li
authors.initials: LL
authors.lastname: Zeng
authors.affiliation: College of Mechatronics and Automation, National University of Defense Technology, Changsha, Hunan, 410073, People's Republic of China.
authors.forename: Liang
authors.initials: L
authors.lastname: Xie
authors.affiliation: College of Mechatronics and Automation, National University of Defense Technology, Changsha, Hunan, 410073, People's Republic of China.
authors.forename: Hui
authors.initials: H
authors.lastname: Shen
authors.affiliation: College of Mechatronics and Automation, National University of Defense Technology, Changsha, Hunan, 410073, People's Republic of China.
authors.forename: Zhiguo
authors.initials: Z
authors.lastname: Luo
authors.affiliation: College of Mechatronics and Automation, National University of Defense Technology, Changsha, Hunan, 410073, People's Republic of China.
authors.forename: Peng
authors.initials: P
authors.lastname: Fang
authors.affiliation: Department of Neurobiology, Key Laboratory on Neurodegenerative Disorders of Ministry of Education, Beijing Institute of Geriatrics, Xuanwu Hospital, Capital Medical University, Beijing, 100053, People's Republic of China.
authors.forename: Yanan
authors.initials: Y
authors.lastname: Hou
authors.affiliation: Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, People's Republic of China.
authors.forename: Beisha
authors.initials: B
authors.lastname: Tang
authors.affiliation: Department of Neurobiology, Key Laboratory on Neurodegenerative Disorders of Ministry of Education, Beijing Institute of Geriatrics, Xuanwu Hospital, Capital Medical University, Beijing, 100053, People's Republic of China. wutao69@gmail.com.
authors.forename: Tao
authors.initials: T
authors.lastname: Wu
authors.affiliation: College of Mechatronics and Automation, National University of Defense Technology, Changsha, Hunan, 410073, People's Republic of China. dwhu@nudt.edu.cn.
authors.forename: Dewen
authors.initials: D
authors.lastname: Hu
mesh_terms: D002531:Cerebellum / Q000000981:diagnostic imaging*; D005260:Female; D066128:Gray Matter / Q000000981:diagnostic imaging*; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods; D008279:Magnetic Resonance Imaging; D008297:Male; D008609:Mental Status Schedule; D008875:Middle Aged; D010300:Parkinson Disease / Q000145:classification / Q000000981:diagnostic imaging*; D012720:Severity of Illness Index; D060388:Support Vector Machine
keywords: Cerebellum; Magnetic resonance imaging; Parkinson’s disease; Support vector machine