Sun Yulei, Li Yihan, Shi Qi, Wu Caiyun, Sun Jintao, Chen Qiqi, Hu Zheng, Xiang Jing, Wang Xiaoshan
Department of Neurology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing Medical University, Nanjing, China.
MEG Center, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China.
Front Neurol. 2020 Nov 12;11:583267. doi: 10.3389/fneur.2020.583267. eCollection 2020.
To further understand the mechanisms underlying epileptic network and the characteristics of individual specific network, we conducted a study on brain network by magnetoencephalography (MEG) focusing on patients with childhood absence epilepsy (CAE). The network connectivity of 22 patients was investigated with MEG at the source level. Network connectivity of spikes and slow waves was computed with accumulated source imaging (ASI) and correlation analysis. Time-frequency analysis was used to characterize the network changes during the ictal-onset period of each patient and the potential factors. We found that spectral power increased at around 1 s and distributed at 2-4 Hz in all patients. Ictal spikes simultaneously showed elevation of network connectivity, predominantly excitatory connections, when generalized firing activity spread to the overall brain. High-frequency oscillations (HFOs) were prone to detect overexcited neuronal firing in certain focal areas. Personal network changes during ictal onset had unique features in the time range and parallel seizure rhythm uniformly in every patient. There was an important time point for generalized discharges of the epileptic network. Ictal spiking activity played an important role in the epileptic network synchronicity of childhood absence epilepsy. Frequency oscillations provided references for locating abnormal changes in neuromagnetic signals.
为了进一步了解癫痫网络的潜在机制以及个体特异性网络的特征,我们对以儿童失神癫痫(CAE)患者为重点的脑网络进行了一项脑磁图(MEG)研究。在源水平上,使用MEG对22例患者的网络连通性进行了研究。通过累积源成像(ASI)和相关分析计算尖峰和慢波的网络连通性。使用时频分析来表征每位患者发作起始期的网络变化及潜在因素。我们发现,所有患者的频谱功率在1秒左右增加,并分布在2 - 4赫兹。当全身性放电活动扩散至整个大脑时,发作期尖峰同时显示网络连通性升高,主要为兴奋性连接。高频振荡(HFOs)易于在某些局灶区域检测到过度兴奋的神经元放电。每位患者发作起始期的个人网络变化在时间范围上具有独特特征,且与癫痫发作节律一致。癫痫网络的全身性放电存在一个重要时间点。发作期尖峰活动在儿童失神癫痫的癫痫网络同步性中起重要作用。频率振荡为定位神经磁信号的异常变化提供了参考。