Computational models advance deep brain stimulation for Parkinson’s disease-Reference-Cited by-同舟云学术

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Computational models advance deep brain stimulation for Parkinson’s disease

Published:2024-06-26 Issue: Volume: Page:1-32
ISSN:0954-898X
Container-title:Network: Computation in Neural Systems
language:en
Short-container-title:Network: Computation in Neural Systems

Author:

Wu Yongtong¹,Hu Kejia²³,Liu Shenquan¹

Affiliation:

1. School of Mathematics, South China University of Technology, Guangzhou, Guangdong, China

2. Department of Neurosurgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China

3. Center for Functional Neurosurgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China

Funder

Shanghai Jiao Tong University

Shanghai Municipal Health Commission

Ruijin Youth NSFC Cultivation Fund

Ruijin Hospital Guangci Excellence Youth Training Program

Shanghai Pujiang Program

National Natural Science Foundation of China

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/0954898X.2024.2361799

Reference145 articles.

1. Deep brain stimulation in the subthalamic nucleus for Parkinson’s disease can restore dynamics of striatal networks

2. Coordinated reset neuromodulation for Parkinson's disease: Proof‐of‐concept study

3. Functional Anatomy of the Basal Ganglia

4. Excitatory deep brain stimulation quenches beta oscillations arising in a computational model of the subthalamo-pallidal loop

5. Electrophysiological confrontation of Lead-DBS-based electrode localizations in patients with Parkinson’s disease undergoing deep brain stimulation

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