Bioland Laboratory, Guangzhou, China.
Beijing Institute of Brain Disorders, Laboratory of Brain Disorders, Ministry of Science and Technology, Collaborative Innovation Center for Brain Disorders, Capital Medical University, Beijing, China.
Curr Neuropharmacol. 2022 Aug 3;20(9):1687-1703. doi: 10.2174/1570159X19666210908165641.
Epilepsy is a network disease caused by aberrant neocortical large-scale connectivity spanning regions on the scale of several centimeters. High-frequency oscillations, characterized by the 80-600 Hz signals in electroencephalography, have been proven to be a promising biomarker of epilepsy that can be used in assessing the severity and susceptibility of epilepsy as well as the location of the epileptogenic zone. However, the presence of a high-frequency oscillation network remains a topic of debate as high-frequency oscillations have been previously thought to be incapable of propagation, and the relationship between high-frequency oscillations and the epileptogenic network has rarely been discussed. Some recent studies reported that high-frequency oscillations may behave like networks that are closely relevant to the epileptogenic network. Pathological highfrequency oscillations are network-driven phenomena and elucidate epileptogenic network development; high-frequency oscillations show different characteristics coincident with the epileptogenic network dynamics, and cross-frequency coupling between high-frequency oscillations and other signals may mediate the generation and propagation of abnormal discharges across the network.
癫痫是一种网络疾病,由异常的新皮质大尺度连接引起,跨越几个厘米的区域。高频振荡,以脑电图中的 80-600 Hz 信号为特征,已被证明是癫痫的一个很有前途的生物标志物,可用于评估癫痫的严重程度和易感性以及致痫区的位置。然而,高频振荡网络的存在仍然是一个有争议的话题,因为高频振荡以前被认为是不能传播的,高频振荡与致痫网络之间的关系很少被讨论。一些最近的研究报告称,高频振荡可能表现为与致痫网络密切相关的网络。病理性高频振荡是网络驱动的现象,阐明了致痫网络的发展;高频振荡表现出与致痫网络动力学一致的不同特征,高频振荡与其他信号之间的跨频耦合可能介导异常放电在网络中的产生和传播。