Directionality of neural activity in and out of the seizure onset zone in focal epilepsy

H. Karimi-Rouzbahani, A. McGonigal
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Abstract

Epilepsy affects over 50 million people worldwide, with approximately 30% experiencing drug-resistant forms that may require surgical intervention. Accurate localisation of the epileptogenic zone (EZ) is crucial for effective treatment, but how best to use intracranial EEG data to delineate the EZ remains unclear. Previous studies have used the directionality of neural activities across the brain to investigate seizure dynamics and localise the EZ. However, the different connectivity measures used across studies have often provided inconsistent insights about the direction and the localisation power of signal flow as a biomarker for EZ localisation. In a data-driven approach, this study employs a large set of 13 distinct directed connectivity measures to evaluate neural activity flow in and out the seizure onset zone (SOZ) during interictal and ictal periods. These measures test the hypotheses of sink SOZ (SOZ dominantly receiving neural activities during interictal periods) and source SOZ (SOZ dominantly transmitting activities during ictal periods). While the results were different across connectivity measures, several measures consistently supported higher connectivity directed towards the SOZ in interictal periods and higher connectivity directed away during ictal period. Comparing six distinct metrics of node behaviour in the network, we found that SOZ separates itself from the rest of the network allowing for the metric of eccentricity to localise the SOZ more accurately than any other metrics including in-strength and out-strength. This introduced a novel biomarker for localising the SOZ, leveraging the discriminative power of directed connectivity measures in an explainable machine learning pipeline. By using a comprehensive, objective and data-driven approach, this study addresses previously unresolved questions on the direction of neural activities in seizure organisation, and sheds light on dynamics of interictal and ictal activity in focal epilepsy.
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局灶性癫痫发作起始区内外神经活动的方向性
全世界有 5000 多万人患有癫痫,其中约 30% 的患者具有耐药性,可能需要手术治疗。致痫区(EZ)的精确定位对有效治疗至关重要,但如何最好地利用颅内脑电图数据来划分 EZ 仍不清楚。以往的研究利用整个大脑神经活动的方向性来研究癫痫发作动态并定位 EZ。然而,不同的研究采用了不同的连通性测量方法,这往往对作为 EZ 定位生物标志物的信号流的方向和定位能力提供了不一致的见解。本研究采用数据驱动的方法,使用了一大套 13 种不同的定向连接测量方法来评估发作间期和发作期发作起始区(SOZ)内外的神经活动流。这些测量方法检验了SOZ汇(发作间期SOZ主要接收神经活动)和SOZ源(发作期SOZ主要传递神经活动)的假设。虽然各种连接性测量的结果各不相同,但有几种测量结果一致支持发作间期指向 SOZ 的连接性较高,而发作期指向 SOZ 的连接性较低。通过比较网络中节点行为的六种不同指标,我们发现 SOZ 与网络的其他部分有所区别,因此偏心率指标比其他指标(包括内强度和外强度)更能准确定位 SOZ。这为定位 SOZ 引入了一种新的生物标记,在可解释的机器学习管道中利用了有向连接度量的判别能力。通过使用一种全面、客观和数据驱动的方法,这项研究解决了癫痫发作组织中神经活动方向的未决问题,并揭示了局灶性癫痫发作间期和发作期活动的动态变化。
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