基于基底核的帕金森病状态分析

Analysis of Parkinson's disease state based on basal ganglia

目的研究分析基底核参数变化对帕金森病(PD)状态的影响。方法采用Izhikevich神经元数学模型构建基底核神经元网络,对基底核的结构进行分析;研究基底核参数对苍白球外侧部(GPe)、苍白球内侧部(GPi)、丘脑底核(STN)和丘脑(TC)生物动力学特性的影响。首先根据Izhikevich神经元模型的固有参数,分别实现各神经元核团在正常状态下的生物动力学特性;然后逐渐改变模型参数,直至其出现PD状态的生物动力学特性;最后根据从正常状态到PD状态时各模型参数的变化情况,分析它们对PD状态的影响。结果在一定范围内适当改变基底核中的相关参数,基底核能够实现生物动力学特性并出现不同的放电状态。在正常状态下,GPe、GPi、STN和TC神经元核团均呈现规则放电模式;当在一定范围内减小常量参数a、b和c时,各神经元核团的放电周期也逐渐增大,放电频率减小,放电模式由规则放电转变为簇放电;当在一定范围内减小常量参数d时,各神经元核团的放电周期也逐渐减小,放电频率加快,放电模式由规则放电转变为快速放电。结论对PD患者进行深度脑刺激术治疗时,可以结合基底核参数变化对PD状态的影响,实现更精确、更快速的治疗效果。

Objective To study the effect of changes in basal ganglia parameters on Parkinson＇s disease（PD） state. Methods The basal ganglia neuron network was constructed by mathematical model of Izhikevich neuron, and the basal ganglia structure was analyzed. The effect of basal ganglia parameters on dynamic characteristics of globus pallidus external（GPe）, globus pallidus internus（GPi）, subthalamic nucleus（STN） and thalamus（TC） was studied. First, according to intrinsic parameters of Izhikevich neuron model, the biodynamic characteristics of each neuron nucleus in normal state were realized respectively. Then, model parameters were gradually changed until it showed biodynamic characteristics of PD state. Finally, according to the changes of each model parameters from normal state to PD state, the influence on PD state was analyzed. Results Biodynamic characteristics of basal ganglia were observed and different discharge states were presented with the change of relevant parameters of basal ganglia at certain range. In normal state, the nucleus of GPe, GPi, STN and TC were exhibited regular peak discharge. The parameters a, b and c were decreased within certain range, the discharge period of each neuron also gradually increased while discharge frequency decreased, and discharge mode changed from the regular spike to cluster; The parameter d were decreased within certain range, the discharge period of each neuron also gradually decreased while discharge frequency increased, and discharge mode changed from regular spike to rapid. Conclusion It is demonstrated that for PD patient, deep brain stimulation treatment could combined with basal ganglia parameters change to influence PD status, and achieve more accurate and faster treatment effect.