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基于脑电图/脑磁图源连接性的癫痫网络视角

Network Perspectives on Epilepsy Using EEG/MEG Source Connectivity.

作者信息

van Mierlo Pieter, Höller Yvonne, Focke Niels K, Vulliemoz Serge

机构信息

Medical Image and Signal Processing Group, Ghent University, Ghent, Belgium.

Faculty of Psychology, University of Akureyri, Akureyri, Iceland.

出版信息

Front Neurol. 2019 Jul 17;10:721. doi: 10.3389/fneur.2019.00721. eCollection 2019.

Abstract

The evolution of EEG/MEG source connectivity is both, a promising, and controversial advance in the characterization of epileptic brain activity. In this narrative review we elucidate the potential of this technology to provide an intuitive view of the epileptic network at its origin, the different brain regions involved in the epilepsy, without the limitation of electrodes at the scalp level. Several studies have confirmed the added value of using source connectivity to localize the seizure onset zone and irritative zone or to quantify the propagation of epileptic activity over time. It has been shown in pilot studies that source connectivity has the potential to obtain prognostic correlates, to assist in the diagnosis of the epilepsy type even in the absence of visually noticeable epileptic activity in the EEG/MEG, and to predict treatment outcome. Nevertheless, prospective validation studies in large and heterogeneous patient cohorts are still lacking and are needed to bring these techniques into clinical use. Moreover, the methodological approach is challenging, with several poorly examined parameters that most likely impact the resulting network patterns. These fundamental challenges affect all potential applications of EEG/MEG source connectivity analysis, be it in a resting, spiking, or ictal state, and also its application to cognitive activation of the eloquent area in presurgical evaluation. However, such method can allow unique insights into physiological and pathological brain functions and have great potential in (clinical) neuroscience.

摘要

脑电图/脑磁图(EEG/MEG)源连接性的演变,在癫痫脑活动特征描述方面既是一项前景广阔,又是颇具争议的进展。在这篇叙述性综述中,我们阐明了这项技术的潜力,即能够直观呈现癫痫网络的起源、癫痫所涉及的不同脑区,而不受头皮层面电极的限制。多项研究证实了使用源连接性来定位癫痫发作起始区和激惹区,或量化癫痫活动随时间传播的附加价值。初步研究表明,源连接性有潜力获得预后相关因素,即使在EEG/MEG中没有明显可见的癫痫活动时,也能辅助癫痫类型的诊断,并预测治疗结果。然而,仍缺乏针对大型异质性患者队列的前瞻性验证研究,而这些研究是将这些技术应用于临床所必需的。此外,方法学途径具有挑战性,存在几个研究不足的参数,很可能会影响最终的网络模式。这些根本性挑战影响着EEG/MEG源连接性分析的所有潜在应用,无论是在静息、棘波还是发作期状态,以及其在术前评估中对优势脑区认知激活的应用。然而,这种方法能够提供对生理和病理脑功能的独特见解,在(临床)神经科学领域具有巨大潜力。

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