【摘要】 大脑神经元过度的兴奋可以导致癫痫的发作,维持兴奋-抑制平衡是癫痫控制的关键。提出了痫性指数来描述癫痫发作程度,并用作PID控制器的被控参数来对癫痫发作进行控制。把神经群模型作为平台来仿真兴奋性增加导致的癫痫发作程度变化,进而对两种癫痫控制策略进行了仿真。实验结果表明兴奋强度增加而保持抑制强度不变会导致痫性指数的大幅度增加,导致癫痫。而用PID控制器分别降低兴奋强度或增加抑制强度都可以维持兴奋-抑制平衡,并缓解癫痫的发作。痫性指数可以描述脑电信号的线性和非线性特性,PID控制器简单而且不依赖于潜在的生理结构,为本方法应用于临床打下了基础。更多还原

【Abstract】 Overexcitation of neurons in brain can lead to epilepsy seizures,and the key to control epilepsy seizures is to keep the balance between excitation and inhibition.In this paper,epileptiform index is presented to denote the seizure degree and used as control variable of PID controller to control epilepsy seizures.Neural mass model(NMM)is used as a test-bed to simulate the change of seizure degree with the increase of excitatory strength and two control strategies.Experimental results showed that the increase of excitatory strength could lead to a substantial increase of epileptiform index and trigger seizures.PID controller which is used to decrease excitatory strength or increase inhibitory strength can keep excitation-inhibition balance and inhibit epilepsy seizures.Epileptiform index can describe the linear and nonlinear feature of electroencephalogram(EEG)comprehensively,and PID controller is simple and independent of underlying physiological structure,which lays the foundation for its application in the clinic.更多还原