Spatiotemporal Optimization Of Deep Brain Stimulation Electrode Array

Parkinson's disease is the disease caused by degenerative neurological deterioration by a function of the central nervous system,population aging society is becoming more and more serious,aggravated Parkinson's disease endangering human health,and patients with advanced Parkinson's disease usually take care of themselves,bring great burden to the family and society.Deep brain stimulation is a new way of treatment,which has become more and more widely used because of its higher cure rate.It has become an important brain modulation technology.But there are also many problems,such as unclear mechanism and obvious side effects.This article is aimed at optimizing the depth of brain stimulation system in two aspects of time and space.First,the principle of deep brain stimulation is briefly analyzed,and the advantages of the finite element analysis method and the advantages of this method are introduced.The model of three-dimensional tissue conductance was built by Medtronic Inc 3387 type electrode,and the finite element analysis simulation was carried out.Then,Hodgkin-Huxley(H-H)single neuron model was used to analyze the discharge activity of neurons under the action of deep brain stimulation.The different discharges of neurons under different stimulus combinations were analyzed,and their corresponding relationships were quantified.Finally,the classifier is constructed by support vector machine(SVM)method to realize the converse selection from the neuron discharge to the stimulus parameter to meet the actual needs of the control process.Finally,based on the Medtronic Inc 3387 electrode,subdivision optimization is carried out to design more precise electrode array.The three-dimensional tissue conductance model was established,and the stimulation of brain tissue under the working condition was simulated by finite element method.The obtained electric field distribution and the activation region are compared with the traditional electrode,which proves that it has unique advantages in reducing the stimulation spillover.The results of this work are helpful to reveal the electric field and activation region of deep brain stimulation in the working state,and give a new idea for the use of deep brain stimulation and the design of new electrodes.