大鼠癫痫模型脑电信息的不稳定周期轨道分析

Analysis of the EEG Information of Rats Epileptic Model Using Unstable Periodic Orbits

为了进一步探索应用非线性动力学理论对癫痫脑电信息进行分析。在采用非线性动力学指标:近似熵和相关维对大鼠癫痫发作过程的整个脑电信号进行分析研究的基础上,运用新的用于神经元系统的复杂性行为研究的非线性动力学方法——不稳定周期轨道,分析研究癫痫不同发作时期脑电信号的变化规律。结果显示癫痫发作时,脑电信号中存在具有统计显著性的周期1和周期2轨道,而在癫痫发作前期仅存在具有统计显著性的周期1轨道。从而进一步验证了癫痫发作整个过程,脑电信号复杂度的变化规律。

In order to further research into the EEG information of rats epileptic model, we applied different nonlinear dynamic methods. After having analyzed the EEG signal of rat falling sickness by means of approximate entropy and correlation dimension, we adopted a the new method, unstable periodic orbits, which was used to analyze complex activity of neurons system to look for the change regularity of change in the EEG signal in the whole course of rat＇s falling sickness. We found period 1 orbits and period 2 orbits to be statistically significant in the data of ictal time of epilepsy. At the same time, we found period 1 orbits to be statistically significant in the data of preictal time of epilepsy.