Literature DB >> 30923933

Cerebellar functional abnormalities in early stage drug-naïve and medicated Parkinson's disease.

Shuai Xu1, Xin-Wei He2,3, Rong Zhao2,3, Wei Chen2, Zhaoxia Qin1, Jilei Zhang1, Shiyu Ban1, Ge-Fei Li2,3, Yan-Hui Shi2,3, Yue Hu2,3, Mei-Ting Zhuang2, Yi-Sheng Liu2, Xiao-Lei Shen2, Jianqi Li1, Jian-Ren Liu4,5, Xiaoxia Du6.   

Abstract

Parkinson's disease (PD) is a progressive neurological degenerative disorder characterized by impaired motor function and non-motor dysfunctions. While recent studies have highlighted the role of the cerebellum in PD, our understanding of its role in PD remains limited. In the present study, we used resting-state fMRI to evaluate dysfunctions within the cerebellum in PD patients treated with medication and drug-naïve PD patients. We applied amplitude of low-frequency fluctuation (ALFF) and degree centrality (DC) analysis methods. Thirty-one patients with early stage PD (22 drug-naïve and 9 medicated patients) and 31 gender- and age-matched healthy controls were recruited in this study. ALFFs increased in the left cerebellar areas (lobules VI/VIIb/CruI/CruII and the dentate gyrus) and right cerebellar areas (lobules VI/VIIb/VIIIa/CruI/CruII and the dentate gyrus) of all PD patients and in the left and right cerebellar areas (lobules VI/VIIb/CruI and the dentate gyrus) of drug-naive PD patients but were not significantly changed in medicated PD patients. DC increased in the right cerebellar areas of all PD patients and medicated PD patients. All PD patients and all drug-naive PD patients showed significantly weaker functional connectivity (FC) between the left cerebellum and the left medial frontal gyrus. However, FC was significantly stronger between the right cerebellum and the left precentral and right middle occipital gyri in the medicated PD patients than in controls. Furthermore, a correlation analyses revealed that ALFF z scores in the left cerebellum (lobule VI) and right cerebellum (lobule VI/CruI and dentate gyrus) were negatively correlated with Mini-Mental State Examination (MMSE) scores in all PD patients and drug-naive patients. These results indicate that the cerebellum plays an important role in PD, mainly by exerting a compensatory effect in early stage PD. Additionally, antiparkinsonian medication would modified PD-induced changes in local neural activity and FC in PD patients. The results of this study offer novel insights into the roles of the cerebellum in early stage drug-naïve PD.

Entities:  

Keywords:  Amplitudes of low-frequency fluctuation; Cerebellum; Degree centrality; Functional connectivity; Parkinson’s disease

Mesh:

Substances:

Year:  2019        PMID: 30923933     DOI: 10.1007/s00415-019-09294-0

Source DB:  PubMed          Journal:  J Neurol        ISSN: 0340-5354            Impact factor:   4.849


  6 in total

1.  Heart-brain synchronization breakdown in Parkinson's disease.

Authors:  Jesus M Cortes; Inigo Gabilondo; Martin Iniguez; Antonio Jimenez-Marin; Asier Erramuzpe; Marian Acera; Beatriz Tijero; Ane Murueta-Goyena; Rocio Del Pino; Tamara Fernandez; Mar Carmona-Abellan; Alberto Cabrera-Zubizarreta; Juan Carlos Gómez-Esteban
Journal:  NPJ Parkinsons Dis       Date:  2022-05-30

2.  Abnormal Spontaneous Neural Activity in Parkinson's Disease With "pure" Apathy.

Authors:  Hai-Hua Sun; Jian-Bin Hu; Jing Chen; Xue-Yang Wang; Xiao-Li Wang; Ping-Lei Pan; Chun-Feng Liu
Journal:  Front Neurosci       Date:  2020-08-04       Impact factor: 4.677

3.  Impaired Fine Motor Function of the Asymptomatic Hand in Unilateral Parkinson's Disease.

Authors:  Xiaojuan Dan; Jia Liu; Julien Doyon; Yongtao Zhou; Jinghong Ma; Piu Chan
Journal:  Front Aging Neurosci       Date:  2019-10-04       Impact factor: 5.750

4.  Resting-State Cerebello-Cortical Dysfunction in Parkinson's Disease.

Authors:  William C Palmer; Brenna A Cholerton; Cyrus P Zabetian; Thomas J Montine; Thomas J Grabowski; Swati Rane
Journal:  Front Neurol       Date:  2021-01-28       Impact factor: 4.003

5.  Altered Intra- and Inter-Network Connectivity in Drug-Naïve Patients With Early Parkinson's Disease.

Authors:  Weiqi Zeng; Wenliang Fan; Xiangchuang Kong; Xiaoming Liu; Ling Liu; Ziqin Cao; Xiaoqian Zhang; Xiaoman Yang; Chi Cheng; Yi Wu; Yu Xu; Xuebing Cao; Yan Xu
Journal:  Front Aging Neurosci       Date:  2022-02-14       Impact factor: 5.750

6.  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

  6 in total

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