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Mesoscopic neuron population modeling of normal/epileptic brain dynamics

机译:正常/癫痫脑动力学的介观神经元种群建模

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摘要

Simulations of EEG data provide the understanding of how the limbic system exhibits normal and abnormal states of the electrical activity of the brain. While brain activity exhibits a type of homeostasis of excitatory and inhibitory mesoscopic neuron behavior, abnormal neural firings found in the seizure state exhibits brain instability due to runaway oscillatory entrained neural behavior. We utilize a model of mesoscopic brain activity, the KIV model, where each network represents the areas of the limbic system, i.e., hippocampus, sensory cortex, and the amygdala. Our model initially demonstrates oscillatory entrained neural behavior as the epileptogenesis, and then by increasing the external weights that join the three networks that represent the areas of the limbic system, seizure activity entrains the entire system. By introducing an external signal into the model, simulating external electrical titration therapy, the modeled seizure behavior can be ‘rebalanced’ back to its normal state.
机译:脑电数据的模拟提供了对边缘系统如何表现出大脑电活动的正常和异常状态的理解。虽然大脑活动表现出一种兴奋性和抑制性介观神经元行为的稳态,但由于失控的振荡性神经行为,在癫痫发作状态下发现的异常神经放电表现出大脑不稳定。我们利用介观脑活动模型KIV模型,其中每个网络代表边缘系统的区域,即海马,感觉皮层和杏仁核。我们的模型最初证明了振荡夹带的神经行为是癫痫发生,然后通过增加连接代表边缘系统区域的三个网络的外部权重,癫痫发作会夹带整个系统。通过将外部信号引入模型,模拟外部电滴定疗法,可以将建模的癫痫发作行为“重新平衡”回到正常状态。

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