...
首页> 外文期刊>Epilepsy research >Remission of benign epilepsy with rolandic spikes: An EEG-based connectivity study at the onset of the disease and at remission
【24h】

Remission of benign epilepsy with rolandic spikes: An EEG-based connectivity study at the onset of the disease and at remission

机译:良性癫痫伴有狼牙样棘突缓解:基于脑电图的连通性研究在疾病发作和缓解时

获取原文
获取原文并翻译 | 示例
           

摘要

Purpose: The neuronal mechanisms of remission of epilepsy are not known. Based on the principles of the "network theory of epilepsy" we postulated the existence of abnormal cortico-cortical interactions at the onset of epilepsy (Hypothesis-1), and postulated that remission is associated with the decrease or disappearance of the abnormal quantitative EEG findings (Hypothesis-2). Methods: Four children with benign epilepsy with rolandic sharp waves (BERS) were investigated. 21-channel EEG was recorded at the onset of the disease (Setting No. 1) and in remission (Setting No. 2). Local EEG synchronization was estimated by LORETA (low resolution electromagnetic tomography). Remote EEG synchronization (intra-hemispheric, cortico-cortical EEG functional connectivity, EEGfC) was computed by the LSC (LORETA Source Correlation) method, among 23 regions of interest (ROI) in both hemispheres. Both local and remote EEG synchronization were evaluated in very narrow frequency bands of 1. Hz bandwidth (VNB), from 1 to 25. Hz. Results: Individual results were presented. Abnormal but topographically very dissimilar LORETA and LSC findings were found at the onset of the disease. The disappearance of the initial abnormalities was found in Setting No. 2. An unforeseen finding was the presence of abnormal EEGfC results in Setting No. 2. Discussion: The authors confirmed both hypotheses. The dissimilarity of the initial abnormalities is in accord with the network concept of epilepsy and the etiology of BERS. The disappearance of the initial abnormalities reflects "normalization" of network dynamics while the emergence of new EEGfC abnormalities is interpreted as "compensation". Conclusion: EEG-based local and remote connectivity (EEGfC) are appropriate tools to describe network dynamics in the active state of BERS and in remission.
机译:目的:癫痫缓解的神经机制尚不清楚。基于“癫痫网络理论”的原理,我们假设癫痫发作时存在皮质-皮质相互作用异常(Hypothesis-1),并假设缓解与定量EEG异常结果的减少或消失有关(假设2)。方法:对4例患儿患有罗兰性尖波(BERS)的良性癫痫进行了研究。在疾病发作(设置1)和缓解(设置2)中记录了21通道EEG。通过LORETA(低分辨率电磁层析成像)估计局部脑电图同步。通过LSC(LORETA Source Correlation)方法在两个半球的23个感兴趣区域(ROI)中计算了远程EEG同步(半球内,皮层-皮质EEG功能连通性,EEGfC)。在从1到25. Hz的1. Hz带宽(VNB)的非常窄的频带中评估了本地和远程EEG同步。结果:提出了个人结果。在疾病发作时发现异常但在地形上非常不同的LORETA和LSC发现。初始异常的消失在设置2中被发现。一个无法预料的发现是在设置2中存在异常EEGfC结果。讨论:作者证实了这两种假设。初始异常的差异与癫痫的网络概念和BERS的病因相一致。初始异常的消失反映了网络动力学的“正常化”,而新的EEGfC异常的出现被解释为“补偿”。结论:基于EEG的本地和远程连接(EEGfC)是描述BERS活跃状态和缓解状态下网络动态的适当工具。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号