Construction Of Dynamic Model And Study Oscillation Mechanism Of Parkinson’s Disease

With the acceleration of the aging process of the population in China,Parkinson’s Disease(PD)has become one of the most common chronic diseases of nervous system with high incidence among middle-aged and elderly people.Symptoms such as tremor and slowness of movement due to PD cause great inconvenience to the sufferer,as well as great life stress and financial burden to the sufferer’s relatives and even society.In recent years,the basal ganglia circuit is considered to be closely related to PD motor disorder,with beta oscillation as its typical characteristic.The analysis of the conditions of beta oscillation in the basal ganglia and its influencing factors plays a key role in revealing the pathogenesis and treatment of PD.However,the specific cause of PD is still unclear,and there is no effective cure at present.Only a certain degree of remission can be carried out to restore the patient’s ability to move.Compared with drug therapy and surgical excision,deep brain stimulation therapy is considered to be the primary choice to relieve PD today because of its relative non-invasive,safe and controllable.Therefore,the research on PD diagnosis and analysis methods has important theoretical and practical value.This article mainly includes two parts.In the first part,a multi-coupling nonlinear differential equation dynamics model is established by considering related factors such as time delays and weights that cause beta oscillations.Secondly,two different types of stability boundary conditions are obtained by theoretical analysis of the model,and numerical simulation and bifurcation analysis are carried out.It is concluded that the transmission delay and weight factors are the key factors affecting the generation of beta oscillation.Finally,some numerical simulations and biological insights are provided to illustrate and expand the validity of the above theoretical results,which will help to explain the pathogenesis of PD in reducing pathological oscillations.In the second part,based on the mechanism of deep brain electrical stimulation therapy,we discussed the role of neurons and their network circuits in the transmission of electrical signals,and explores the role of the basal ganglia circuits in the pathology and treatment of PD combined with biodynamics.Firstly,the H-H model of a single neuron was considered,and the biological signals were characterized by numerical solutions.The basal ganglia circuit dynamics model was reconstructed by combining the synaptic connection theory and the basal ganglia network.The potential emission of neurons in the basal ganglia was analyzed,and different positions were stimulated,PD pathology was analyzed,and the best stimulation target of deep brain stimulation was explored.The results of this study reveal the pathogenesis of PD to a certain extent and provide a new idea for subsequent treatment.In addition,this research method can also be applied to the study of neural oscillations generated by other parts of the brain neural network.