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Frontiers in human neuroscience · 2022

Effects of Exercise on Parkinson's Disease: A Meta-Analysis of Brain Imaging Studies.

Систематический обзорСтатьяНазвание и аннотация: Перевод пока не подготовлен
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Li Jingwen, Guo Jian, Sun Weijuan, Mei Jinjin, Wang Yiying, Zhang Lihong, Zhang Jianyun, Gao Jing, Su Kaiqi, Lv Zhuan, Feng Xiaodong, Li Ruiqing

Аннотация

BACKGROUND: Exercise is increasingly recognized as 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 the cross-experiment activation of each voxel 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 the 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.

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

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