中国物理B ›› 2022, Vol. 31 ›› Issue (12): 128701-128701.doi: 10.1088/1674-1056/ac8cd8

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Parkinsonian oscillations and their suppression by closed-loop deep brain stimulation based on fuzzy concept

Xi-Le Wei(魏熙乐), Yu-Lin Bai(白玉林), Jiang Wang(王江), Si-Yuan Chang(常思远), and Chen Liu(刘晨)†   

  1. School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China
  • 收稿日期:2022-03-14 修回日期:2022-07-30 接受日期:2022-08-26 出版日期:2022-11-11 发布日期:2022-11-11
  • 通讯作者: Chen Liu E-mail:liuchen715@tju.edu.cn
  • 基金资助:
    Project supported by the National Natural Science Foundation of China (Grant Nos. 62173241 and 62171312) and the Natural Science Foundation of Tianjin, China (Grant Nos. 20JCQNJC01160 and 19JCZDJC36500). The authors also gratefully acknowledge the financial support provided by Opening Foundation of Key Laboratory of Opto-technology and Intelligent Control (Lanzhou Jiaotong University), Ministry of Education, China (Grant No. KFKT2020-01).

Parkinsonian oscillations and their suppression by closed-loop deep brain stimulation based on fuzzy concept

Xi-Le Wei(魏熙乐), Yu-Lin Bai(白玉林), Jiang Wang(王江), Si-Yuan Chang(常思远), and Chen Liu(刘晨)†   

  1. School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China
  • Received:2022-03-14 Revised:2022-07-30 Accepted:2022-08-26 Online:2022-11-11 Published:2022-11-11
  • Contact: Chen Liu E-mail:liuchen715@tju.edu.cn
  • Supported by:
    Project supported by the National Natural Science Foundation of China (Grant Nos. 62173241 and 62171312) and the Natural Science Foundation of Tianjin, China (Grant Nos. 20JCQNJC01160 and 19JCZDJC36500). The authors also gratefully acknowledge the financial support provided by Opening Foundation of Key Laboratory of Opto-technology and Intelligent Control (Lanzhou Jiaotong University), Ministry of Education, China (Grant No. KFKT2020-01).

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摘要： This paper provides an adaptive closed-loop strategy for suppressing the pathological oscillations of the basal ganglia based on a variable universe fuzzy algorithm. The pathological basal ganglia oscillations in the theta (4-9 Hz) and beta (12-35 Hz) frequency bands have been demonstrated to be associated with the tremor and rigidity/bradykinesia symptoms in Parkinson's disease (PD). Although the clinical application of open-loop deep brain stimulation (DBS) is effective, the stimulation waveform with the fixed parameters cannot be self-adjusted as the disease progresses, and thus the stimulation effects go poor. To deal with this difficult problem, a variable universe fuzzy closed-loop strategy is proposed to modulate different PD states. We establish a cortico-basal ganglia-thalamocortical network model to simulate pathological oscillations and test the control effect. The results suggest that the proposed closed-loop control strategy can accommodate the variation of brain states and symptoms, which may become an alternative method to administrate the symptoms in PD.

关键词: deep brain stimulation, Parkinson's disease, basal ganglia, closed-loop control, variable universe fuzzy

Abstract: This paper provides an adaptive closed-loop strategy for suppressing the pathological oscillations of the basal ganglia based on a variable universe fuzzy algorithm. The pathological basal ganglia oscillations in the theta (4-9 Hz) and beta (12-35 Hz) frequency bands have been demonstrated to be associated with the tremor and rigidity/bradykinesia symptoms in Parkinson's disease (PD). Although the clinical application of open-loop deep brain stimulation (DBS) is effective, the stimulation waveform with the fixed parameters cannot be self-adjusted as the disease progresses, and thus the stimulation effects go poor. To deal with this difficult problem, a variable universe fuzzy closed-loop strategy is proposed to modulate different PD states. We establish a cortico-basal ganglia-thalamocortical network model to simulate pathological oscillations and test the control effect. The results suggest that the proposed closed-loop control strategy can accommodate the variation of brain states and symptoms, which may become an alternative method to administrate the symptoms in PD.

Key words: deep brain stimulation, Parkinson's disease, basal ganglia, closed-loop control, variable universe fuzzy

中图分类号:  (Models of single neurons and networks)

  • 87.19.ll
87.19.lm (Synchronization in the nervous system) 87.19.xp (Motor system disease (Parkinson's, etc.)) 87.19.lr (Control theory and feedback)