A review of computational modeling and deep brain stimulation: applications to Parkinson's disease

• 作者: Qingyun WANG Qishao WANG Xiaomin WANG Ying YU
• 来源期刊: 应用数学和力学（英文版）
• 学科: 数学
• 年，卷（期）: 2020,（12）
• 页码范围: 1747-1768
• 页数: 22页
• 分类号: O175.1
• 语种: 英文

摘要

Biophysical computational models are complementary to experiments and theories,providing powerful tools for the study of neurological diseases.The focus of this review is the dynamic modeling and control strategies of Parkinson's disease (PD).In previous studies,the development of parkinsonian network dynamics modeling has made great progress.Modeling mainly focuses on the cortex-thalamus-basal ganglia (CTBG) circuit and its sub-circuits,which helps to explore the dynamic behavior of the parkinsonian network,such as synchronization.Deep brain stimulation (DBS) is an effective strategy for the treatment of PD.At present,many studies are based on the side effects of the DBS.However,the translation from modeling results to clinical disease mitigation therapy still faces huge challenges.Here,we introduce the progress of DBS improvement.Its specific purpose is to develop novel DBS treatment methods,optimize the treatment effect of DBS for each patient,and focus on the study in closed-loop DBS.Our goal is to review the inspiration and insights gained by combining the system theory with these computational models to analyze neurodynamics and optimize DBS treatment.

作者信息

序号	姓名	单位	发文数	被引次数	H指数	G指数
1	Ying YU		1	0	0.0	0.0
2	Xiaomin WANG		1	0	0.0	0.0
3	Qishao WANG		1	0	0.0	0.0
4	Qingyun WANG		2	0	0.0	0.0