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| Research Progress on Potential Brain Stimulation Targets of rTMS for Alleviating Motor Symptoms in Parkinson's Disease |
| Li Runze1,2, Yang Shuo1,2, Feng Keke3, Wang Alan4, Tian Shuxiang1,2, Yin Shaoya3*, Xu Guizhi1,2#* |
1(State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology, Tianjin 300130, China)
2(Key Laboratory of Bioelectromagnetics and Neuroengineering of Hebei Province, Hebei University of Technology, Tianjin 300130, China)
3(Department of Neurosurgery, Tianjin Huanhu Hospital, Tianjin 300350, China)
4(Centre for Brain Research, The University of Auckland, Aucland 1023, New Zealand) |
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Abstract Repetitive transcranial magnetic stimulation (rTMS) is widely used in the clinical treatment of psychiatry and neurology, which can improve the motor symptoms of Parkinson's disease (PD), and is an important approach to realize the precision treatment strategy of PD. The pathological changes in basal ganglia circuit lead to diverse clinical types of PD. To understand the modulatory effects of rTMS in key target areas according to different motor symptoms is significant to improve the therapeutic effect. At the beginning of this paper, the effect of rTMS on PD from the perspective of synaptic plasticity and neural circuits was analyzed. Then, the potential stimulation targets of primary motor cortex (M1), dorsolateral prefrontal cortex (DLPFC), supplementary motor cortex (SMA) and cerebellum were reviewed to discuss the modulatory effects of different stimulation parameters in specific brain regions and the effects of different stimulation target areas on different motor symptoms. At last, the main problems in the current research were pointed out, and the future research trends were discussed from the aspects of multi-target stimulation, optimal intervention period, and combination with brain imaging technology.
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Received: 22 February 2022
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Corresponding Authors:
* E-mail: yinsy@163.com;gzxu@hebut.edu.cn
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| About author:: # Member, Chinese Society of Biomedical Engineering |
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