Literature DB >> 27138531

Differentiating Patients with Parkinson's Disease from Normal Controls Using Gray Matter in the Cerebellum.

Ling-Li Zeng1, Liang Xie1, Hui Shen1, Zhiguo Luo1, Peng Fang1, Yanan Hou2, Beisha Tang3, Tao Wu4, Dewen Hu5.   

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.

Entities:  

Keywords:  Cerebellum; Magnetic resonance imaging; Parkinson’s disease; Support vector machine

Mesh:

Year:  2017        PMID: 27138531     DOI: 10.1007/s12311-016-0781-1

Source DB:  PubMed          Journal:  Cerebellum        ISSN: 1473-4222            Impact factor:   3.847


  37 in total

1.  Exploring the cortical and subcortical functional magnetic resonance imaging changes associated with freezing in Parkinson's disease.

Authors:  James M Shine; Elie Matar; Philip B Ward; Samuel J Bolitho; Moran Gilat; Mark Pearson; Sharon L Naismith; Simon J G Lewis
Journal:  Brain       Date:  2013-03-12       Impact factor: 13.501

2.  Neurobiological basis of head motion in brain imaging.

Authors:  Ling-Li Zeng; Danhong Wang; Michael D Fox; Mert Sabuncu; Dewen Hu; Manling Ge; Randy L Buckner; Hesheng Liu
Journal:  Proc Natl Acad Sci U S A       Date:  2014-04-07       Impact factor: 11.205

3.  Effective connectivity of brain networks during self-initiated movement in Parkinson's disease.

Authors:  Tao Wu; Liang Wang; Mark Hallett; Yi Chen; Kuncheng Li; Piu Chan
Journal:  Neuroimage       Date:  2010-11-29       Impact factor: 6.556

4.  The basal ganglia communicate with the cerebellum.

Authors:  Andreea C Bostan; Richard P Dum; Peter L Strick
Journal:  Proc Natl Acad Sci U S A       Date:  2010-04-19       Impact factor: 11.205

5.  Magnetic resonance support vector machine discriminates between Parkinson disease and progressive supranuclear palsy.

Authors:  Andrea Cherubini; Maurizio Morelli; Rita Nisticó; Maria Salsone; Gennarina Arabia; Roberta Vasta; Antonio Augimeri; Maria Eugenia Caligiuri; Aldo Quattrone
Journal:  Mov Disord       Date:  2013-12-03       Impact factor: 10.338

6.  Magnetic resonance support vector machine discriminates essential tremor with rest tremor from tremor-dominant Parkinson disease.

Authors:  Andrea Cherubini; Rita Nisticó; Fabiana Novellino; Maria Salsone; Salvatore Nigro; Giulia Donzuso; Aldo Quattrone
Journal:  Mov Disord       Date:  2014-04-13       Impact factor: 10.338

7.  Structural brain correlates of verbal fluency in Parkinson's disease.

Authors:  Joana B Pereira; Carme Junqué; Maria J Martí; Blanca Ramirez-Ruiz; David Bartrés-Faz; Eduard Tolosa
Journal:  Neuroreport       Date:  2009-05-27       Impact factor: 1.837

8.  Greater striatal responses to medication in Parkinson׳s disease are associated with better task-switching but worse reward performance.

Authors:  Esther Aarts; Abraham A M Nusselein; Peter Smittenaar; Rick C Helmich; Bastiaan R Bloem; Roshan Cools
Journal:  Neuropsychologia       Date:  2014-06-06       Impact factor: 3.139

9.  Antidepressant treatment normalizes white matter volume in patients with major depression.

Authors:  Ling-Li Zeng; Li Liu; Yadong Liu; Hui Shen; Yaming Li; Dewen Hu
Journal:  PLoS One       Date:  2012-08-30       Impact factor: 3.240

10.  Grey matter changes in cognitively impaired Parkinson's disease patients.

Authors:  Irena Rektorova; Roberta Biundo; Radek Marecek; Luca Weis; Dag Aarsland; Angelo Antonini
Journal:  PLoS One       Date:  2014-01-21       Impact factor: 3.240

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  4 in total

1.  Longitudinal Alterations of Local Spontaneous Brain Activity in Parkinson's Disease.

Authors:  Qiaoling Zeng; Xiaojun Guan; Jason C F Law Yan Lun; Zhujing Shen; Tao Guo; Min Xuan; Quanquan Gu; Xiaojun Xu; Min Chen; Minming Zhang
Journal:  Neurosci Bull       Date:  2017-08-21       Impact factor: 5.203

2.  Machine Learning Models for Diagnosis of Parkinson's Disease Using Multiple Structural Magnetic Resonance Imaging Features.

Authors:  Yang Ya; Lirong Ji; Yujing Jia; Nan Zou; Zhen Jiang; Hongkun Yin; Chengjie Mao; Weifeng Luo; Erlei Wang; Guohua Fan
Journal:  Front Aging Neurosci       Date:  2022-04-13       Impact factor: 5.702

3.  Gray matter volume of cerebellum associated with idiopathic normal pressure hydrocephalus: A cross-sectional analysis.

Authors:  Minrui Lv; Xiaolin Yang; Xi Zhou; Jiakuan Chen; Haihua Wei; Duanming Du; Hai Lin; Jun Xia
Journal:  Front Neurol       Date:  2022-09-07       Impact factor: 4.086

Review 4.  Mining imaging and clinical data with machine learning approaches for the diagnosis and early detection of Parkinson's disease.

Authors:  Jing Zhang
Journal:  NPJ Parkinsons Dis       Date:  2022-01-21
  4 in total

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