Epilepsy is a brain disorder characterized clinically by temporary but recurrent disturbances of brain function that may or may not be associated with destruction or loss of consciousness and abnormal behavior. Human brain is composed of more than 10 to the power 10 neurons, each of which receives electrical impulses known as action potentials from others neurons via synapses and sends electrical impulses via a sing output line to a similar (the axon) number of neurons. When neuronal networks are active, they produced a change in voltage potential, which can be captured by an electroencephalogram (EEG). The EEG recordings represent the time series that match up to neurological activity as a function of time. By analyzing the EEG recordings, we sought to evaluate the degree of underlining dynamical complexity prior to progression of seizure onset. Through the utilization of the dynamical measurements, it is possible to classify the state of the brain according to the underlying dynamical properties of EEG recordings. The results from two patients with temporal lobe epilepsy (TLE), the degree of complexity start converging to lower value prior to the epileptic seizures was observed from epileptic regions as well as non-epileptic regions. The dynamical measurements appear to reflect the changes of EEG's dynamical structure. We suggest that the nonlinear dynamical analysis can provide a useful information for detecting relative changes in brain dynamics, which cannot be detected by conventional linear analysis.

中文翻译：

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多通道颅内脑电图记录形成癫痫脑的定量复杂性分析。

癫痫是一种脑部疾病，其临床特征是暂时但反复出现的脑功能障碍，可能与意识的破坏或丧失和异常行为有关，也可能无关。人脑由 10 到 10 个神经元组成，每个神经元通过突触从其他神经元接收称为动作电位的电脉冲，并通过单输出线将电脉冲发送到相似（轴突）数量的神经元。当神经元网络处于活动状态时，它们会产生电压电位的变化，这可以被脑电图 (EEG) 捕获。脑电图记录代表与作为时间函数的神经活动相匹配的时间序列。通过分析 EEG 记录，我们试图评估在癫痫发作进展之前强调动态复杂性的程度。通过利用动态测量，可以根据 EEG 记录的潜在动态特性对大脑状态进行分类。来自两名颞叶癫痫 (TLE) 患者的结果，从癫痫区域和非癫痫区域观察到癫痫发作之前的复杂程度开始收敛到较低值。动态测量似乎反映了 EEG 动态结构的变化。我们建议非线性动力学分析可以为检测脑动力学的相对变化提供有用的信息，这是常规线性分析无法检测到的。来自两名颞叶癫痫 (TLE) 患者的结果，从癫痫区域和非癫痫区域观察到癫痫发作之前的复杂程度开始收敛到较低值。动态测量似乎反映了 EEG 动态结构的变化。我们建议非线性动力学分析可以为检测脑动力学的相对变化提供有用的信息，这是常规线性分析无法检测到的。来自两名颞叶癫痫 (TLE) 患者的结果，从癫痫区域和非癫痫区域观察到癫痫发作之前的复杂程度开始收敛到较低值。动态测量似乎反映了 EEG 动态结构的变化。我们建议非线性动力学分析可以为检测脑动力学的相对变化提供有用的信息，这是常规线性分析无法检测到的。