AUTHOR=Li Jingwen , Guo Jian , Sun Weijuan , Mei Jinjin , Wang Yiying , Zhang Lihong , Zhang Jianyun , Gao Jing , Su Kaiqi , Lv Zhuan , Feng Xiaodong , Li Ruiqing 

TITLE=Effects of Exercise on Parkinson’s Disease: A Meta-Analysis of Brain Imaging Studies

JOURNAL=Frontiers in Human Neuroscience

VOLUME=Volume 16 - 2022

YEAR=2022

URL=https://www.frontiersin.org/journals/human-neuroscience/articles/10.3389/fnhum.2022.796712

DOI=10.3389/fnhum.2022.796712

ISSN=1662-5161

ABSTRACT=Background: Exercise is increasingly recognised a key component of Parkinson’s disease (PD) treatment strategies, but the underlying mechanism of how exercise affects PD is not yet fully understood.
Objective: The activation likelihood estimation (ALE) method is used to study the mechanism of exercise affecting PD, providing a theoretical basis for studying exercise and PD, and promoting the health of patients with PD.
Methods: Relevant keywords were searched on the PubMed, Cochrane Library, and Web of Science databases. Seven articles were finally included according to the screening criteria, with a total sample size of 97 individuals. Using the GingerALE 3.0.2 software, an ALE meta-analysis was performed using seven studies that met the requirements and the probability of each voxelʼs cross-experiment activation was calculated.
Results: The meta-analysis produced seven clusters, and major activations were found in the cerebellum, occipital lobe, parietal lobe, and frontal lobe brain regions.
Conclusion: Exercise for PD mainly results in enhanced activation of the cerebellum, occipital lobe, parietal lobe, and frontal lobe. Exercise for PD does not cause a change in the activation of a single brain area, and the observed improvement may result from coordinated changes in multiple brain areas.