Janca Radek, Krsek Pavel, Jezdik Petr, Cmejla Roman, Tomasek Martin, Komarek Vladimir, Marusic Petr, Jiruska Premysl
Department of Circuit Theory, Faculty of Electrical Engineering, Czech Technical University in Prague, Prague, Czechia.
Department of Pediatric Neurology, 2nd Faculty of Medicine, Charles University, Motol University Hospital, Prague, Czechia.
Front Neurol. 2018 Mar 23;9:184. doi: 10.3389/fneur.2018.00184. eCollection 2018.
Between seizures, irritative network generates frequent brief synchronous activity, which manifests on the EEG as interictal epileptiform discharges (IEDs). Recent insights into the mechanism of IEDs at the microscopic level have demonstrated a high variance in the recruitment of neuronal populations generating IEDs and a high variability in the trajectories through which IEDs propagate across the brain. These phenomena represent one of the major constraints for precise characterization of network organization and for the utilization of IEDs during presurgical evaluations. We have developed a new approach to dissect human neocortical irritative networks and quantify their properties. We have demonstrated that irritative network has modular nature and it is composed of multiple independent sub-regions, each with specific IED propagation trajectories and differing in the extent of IED activity generated. The global activity of the irritative network is determined by long-term and circadian fluctuations in sub-region spatiotemporal properties. Also, the most active sub-region co-localizes with the seizure onset zone in 12/14 cases. This study demonstrates that principles of recruitment variability and propagation are conserved at the macroscopic level and that they determine irritative network properties in humans. Functional stratification of the irritative network increases the diagnostic yield of intracranial investigations with the potential to improve the outcomes of surgical treatment of neocortical epilepsy.
在癫痫发作间期,刺激性网络会产生频繁的短暂同步活动,这在脑电图(EEG)上表现为发作间期癫痫样放电(IEDs)。最近在微观层面上对IEDs机制的深入研究表明,产生IEDs的神经元群体募集存在很大差异,并且IEDs在大脑中传播的轨迹也具有高度变异性。这些现象是在术前评估期间精确表征网络组织以及利用IEDs的主要限制因素之一。我们开发了一种新方法来剖析人类新皮质刺激性网络并量化其特性。我们已经证明,刺激性网络具有模块化性质,它由多个独立的子区域组成,每个子区域都有特定的IED传播轨迹,并且在产生的IED活动程度上有所不同。刺激性网络的整体活动由子区域时空特性的长期和昼夜波动决定。此外,在14例病例中的12例中,最活跃的子区域与癫痫发作起始区共定位。这项研究表明,募集变异性和传播的原则在宏观层面上是保守的,并且它们决定了人类刺激性网络的特性。刺激性网络的功能分层提高了颅内检查的诊断率,有可能改善新皮质癫痫手术治疗的效果。