School of Mechanical Engineering, Iran University of Science and Technology, Tehran, 16844, Iran.
School of Mechanical Engineering, Iran University of Science and Technology, Tehran, 16844, Iran.
Neuroimage. 2019 Aug 15;197:69-79. doi: 10.1016/j.neuroimage.2019.04.047. Epub 2019 Apr 23.
Spike and wave discharges are the main electrographic characteristic of a number of epileptic brain disorders including childhood absence epilepsy and photosensitive epilepsy. The basic dynamic mechanism that underlies the occurrence of these abnormal electrical patterns in the brain is not well understood. The current paper aims to provide a dynamic explanation for features and generation mechanism of spike and wave discharges in the brain. The main proposition of this study is that epileptic seizures could be interpreted as a resonance phenomenon rather than a limit cycle behavior. To shows this, a revised version of Jansen-Rit neural mass model is employed. The system can switch between monostable and bistable regimes, which are considered in this paper as wake and sleep states of the brain, respectively. In particular, it is shown that, in monostable region, the model can depict the alpha rhythm and alpha rhythm suppression due to mental activity. Frequency responses of the model near the bistable regime demonstrate that high amplitude harmonic excitation may lead to spike and wave like oscillations. Based on the computational results and the concept of stochastic resonance, a model for absence epilepsy is presented which can simulate spontaneous transitions between ictal and interictal states. Finally, it is shown that spike and wave discharges during epileptic seizures can be explained as a resonance phenomenon in a nonlinear system.
棘波和尖波放电是包括儿童失神性癫痫和光敏性癫痫在内的多种癫痫性脑疾病的主要脑电图特征。这些异常电模式在大脑中发生的基本动力学机制尚不清楚。本文旨在为大脑中棘波和尖波放电的特征和产生机制提供一个动力学解释。本研究的主要观点是,癫痫发作可以解释为一种共振现象,而不是极限环行为。为了说明这一点,采用了修正后的 Jansen-Rit 神经质量模型。该系统可以在单稳和双稳两种状态之间切换,本文分别将其视为大脑的觉醒和睡眠状态。具体来说,研究表明,在单稳区,该模型可以描述由于心理活动引起的 alpha 节律和 alpha 节律抑制。模型在双稳区附近的频率响应表明,高幅度谐波激励可能导致棘波和尖波样振荡。基于计算结果和随机共振的概念,提出了一种失神性癫痫模型,可以模拟发作和发作间期状态之间的自发转变。最后,研究表明,癫痫发作期间的棘波和尖波放电可以用非线性系统中的共振现象来解释。