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基于立体脑电图 (sEEG) 研究的结节性硬化症的全球和管间癫痫网络:儿科患者的定量脑电图分析及其手术意义。

Global and intertuberal epileptic networks in tuberous sclerosis based on stereoelectroencephalographic (sEEG) findings: a quantitative EEG analysis in pediatric subjects and surgical implications.

机构信息

Division of Neurosurgery, Children's National Hospital, 111 Michigan Ave NW, Washington, DC, 20010, USA.

Georgetown University School of Medicine, 3900 Reservoir Rd NW, Washington, DC, 20007, USA.

出版信息

Childs Nerv Syst. 2022 Feb;38(2):407-419. doi: 10.1007/s00381-021-05342-1. Epub 2021 Aug 29.

Abstract

OBJECTIVE

Recent evidence favors a network concept in tuberous sclerosis (TSC) with seizure generation and propagation related to changes in global and regional connectivity between multiple, anatomically distant tubers. Direct exploration of network dynamics in TSC has been made possible through intracranial sampling with stereoelectroencephalography (sEEG). The objective of this study is to define epileptic networks in TSC using quantitative analysis of sEEG recordings. We also discuss the impact of the definition of these epileptic networks on surgical decision-making.

METHODS

Intracranial sEEG recordings were obtained from four pediatric patients who presented with medically refractory epilepsy secondary to TSC and subjected to quantitative signal analysis methods. Cortical connectivity was quantified by calculating pairwise coherence between all contacts and constructing an association matrix. The global coherence, defined as the ratio of the largest eigenvalue to the sum of all the eigenvalues, was calculated for each frequency band (delta, theta, alpha, beta, gamma). Spatial distribution of the connectivity was identified by plotting the leading principal component (product of the largest eigenvalue and its corresponding eigenvector).

RESULTS

Four pediatric subjects with TSC underwent invasive intracranial monitoring with sEEG, comprising 31 depth electrodes and 250 contacts, for localization of the epileptogenic focus and guidance of subsequent surgical intervention. Quantitative connectivity analysis revealed a change in global coherence during the ictal period in the beta/low gamma (14-30 Hz) and high gamma (31-80 Hz) bands. Our results corroborate findings from existing literature, which implicate higher frequencies as a driver of synchrony and desynchrony.

CONCLUSIONS

Coordinated high-frequency activity in the beta/low gamma and high gamma bands among spatially distant sEEG define the ictal period in TSC. This time-dependent change in global coherence demonstrates evidence for intra-tuberal and inter-tuberal connectivity in TSC. This observation has surgical implications. It suggests that targeting multiple tubers has a higher chance of seizure control as there is a higher chance of disrupting the epileptic network. The use of laser interstitial thermal therapy (LITT) allowed us to target multiple disparately located tubers in a minimally invasive manner with good seizure control outcomes.

摘要

目的

最近的证据支持结节性硬化症(TSC)中的网络概念,即发作的产生和传播与多个解剖上遥远的结节之间的全局和区域连通性变化有关。通过立体脑电图(sEEG)进行颅内采样,直接探索 TSC 中的网络动力学成为可能。本研究的目的是使用 sEEG 记录的定量分析来定义 TSC 中的癫痫网络。我们还讨论了这些癫痫网络的定义对手术决策的影响。

方法

对四名因 TSC 导致药物难治性癫痫的儿科患者进行颅内 sEEG 记录,并进行定量信号分析方法。通过计算所有触点之间的成对相干性并构建关联矩阵来量化皮质连接。为每个频带(δ、θ、α、β、γ)计算全局相干性,定义为最大特征值与所有特征值之和的比值。通过绘制主导主成分(最大特征值及其对应特征向量的乘积)来确定连接的空间分布。

结果

四名 TSC 儿科患者接受了 sEEG 颅内监测,包括 31 个深部电极和 250 个触点,以定位致痫灶并指导后续手术干预。定量连通性分析显示,在β/低γ(14-30 Hz)和高γ(31-80 Hz)频段的发作期间,全局相干性发生变化。我们的结果与现有文献的结果一致,这些结果表明更高的频率是同步和去同步的驱动因素。

结论

在空间上遥远的 sEEG 之间,β/低γ 和高γ 频带中的协调高频活动定义了 TSC 中的发作期。这种全局相干性的时变变化证明了 TSC 中瘤内和瘤间连通性的存在。这一观察结果具有手术意义。它表明,靶向多个结节具有更高的控制癫痫发作的机会,因为破坏癫痫网络的机会更高。激光间质热疗(LITT)的使用允许我们以微创的方式靶向多个位置不同的结节,获得良好的癫痫控制效果。

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