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Updated: May 10, 2026

Controlling Parkinson's Disease With Adaptive Deep Brain Stimulation
Published on: July 16, 2014
Closed-loop control of the thalamocortical relay neuron's Parkinsonian state based on slow variable
Chen Liu1, Jiang Wang, Ying-Yuan Chen
1School of Electrical Engineering and Automation, Tianjin University, Tianjin, China. jiangwang@tju.edu.cn
Abstract:
A novel closed-loop control strategy is proposed to control Parkinsonian state based on a computational model. By modeling thalamocortical relay neurons under external electric field, a slow variable feedback control is applied to restore its relay functionality. Qualitative and quantitative analysis demonstrates the performance of feedback controller based on slow variable is more efficient compared with traditional feedback control based on fast variable. These findings point to the potential value of model-based design of feedback controllers for Parkinson's disease.
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