Gu Bin, Levine Noah G, Xu Wenjing, Lynch Rachel M, Pardo-Manuel de Villena Fernando, Philpot Benjamin D
Department of Neuroscience, Ohio State University, Columbus, OH, USA.
Department of Cell Biology and Physiology, University of North Carolina, Chapel Hill, NC, USA.
Brain Commun. 2022 Mar 25;4(2):fcac073. doi: 10.1093/braincomms/fcac073. eCollection 2022.
Sudden unexpected death in epilepsy is the most catastrophic outcome of epilepsy. Each year there are as many as 1.65 cases of such death for every 1000 individuals with epilepsy. Currently, there are no methods to predict or prevent this tragic event, due in part to a poor understanding of the pathologic cascade that leads to death following seizures. We recently identified enhanced seizure-induced mortality in four inbred strains from the genetically diverse Collaborative Cross mouse population. These mouse models of sudden unexpected death in epilepsy provide a unique tool to systematically examine the physiological alterations during fatal seizures, which can be studied in a controlled environment and with consideration of genetic complexity. Here, we monitored the brain oscillations and heart functions before, during, and after non-fatal and fatal seizures using a flurothyl-induced seizure model in freely moving mice. Compared with mice that survived seizures, non-survivors exhibited significant suppression of brainstem neural oscillations that coincided with cortical epileptic activities and tachycardia during the ictal phase of a fatal seizure. Non-survivors also exhibited suppressed delta (0.5-4 Hz)/gamma (30-200 Hz) phase-amplitude coupling in cortex but not in brainstem. A connectivity analysis revealed elevated synchronization of cortex and brainstem oscillations in the delta band during fatal seizures compared with non-fatal seizures. The dynamic ictal oscillatory and connectivity features of fatal seizures provide insights into sudden unexpected death in epilepsy and may suggest biomarkers and eventual therapeutic targets.
癫痫猝死是癫痫最灾难性的后果。每年每1000例癫痫患者中就有多达1.65例此类死亡病例。目前,尚无预测或预防这一悲剧事件的方法,部分原因是对癫痫发作后导致死亡的病理级联反应了解不足。我们最近在基因多样的协作杂交小鼠群体的四个近交系中发现癫痫发作诱导的死亡率增加。这些癫痫猝死小鼠模型提供了一个独特的工具,可系统地检查致命性癫痫发作期间的生理变化,这些变化可以在可控环境中并考虑到遗传复杂性的情况下进行研究。在此,我们使用氟烷诱导的癫痫发作模型,在自由活动的小鼠中监测了非致命性和致命性癫痫发作前、发作期间和发作后的脑振荡和心脏功能。与癫痫发作存活的小鼠相比,非存活小鼠在致命性癫痫发作的发作期表现出脑干神经振荡的显著抑制,这与皮质癫痫活动和心动过速同时出现。非存活小鼠在皮质中也表现出δ(0.5 - 4Hz)/γ(30 - 200Hz)相位 - 振幅耦合的抑制,但在脑干中未出现。连通性分析显示,与非致命性癫痫发作相比,致命性癫痫发作期间皮质和脑干振荡在δ波段的同步性增加。致命性癫痫发作的动态发作期振荡和连通性特征为癫痫猝死提供了见解,并可能提示生物标志物和最终的治疗靶点。