通过高频振荡透镜观察网络。

Frontiers in network physiology Pub Date : 2024-11-28 eCollection Date: 2024-01-01 DOI:10.3389/fnetp.2024.1462672
Aline Herlopian
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引用次数: 0

摘要

到目前为止,还没有神经生理学或神经影像学生物标志物可以准确地描述癫痫发生网络。高频振荡(HFO)已被提出作为癫痫发生和癫痫发生网络的生物标志物。病理性HFO与癫痫发作区域和致痫组织有关。几项研究表明,切除病理性HFO发生率高的区域与良好的术后预后相关。最近的研究已经证明了HFO的时空组织网络及其在定义致痫网络中的潜在作用。我们的综述将介绍hfo相关网络的现有文献,特别关注它们在定义致痫网络中的作用及其在手术计划中的潜在意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Networks through the lens of high-frequency oscillations.

To date, there is no neurophysiologic or neuroimaging biomarker that can accurately delineate the epileptogenic network. High-frequency oscillations (HFO) have been proposed as biomarkers for epileptogenesis and the epileptogenic network. The pathological HFO have been associated with areas of seizure onset and epileptogenic tissue. Several studies have demonstrated that the resection of areas with high rates of pathological HFO is associated with favorable postoperative outcomes. Recent studies have demonstrated the spatiotemporal organization of HFO into networks and their potential role in defining epileptogenic networks. Our review will present the existing literature on HFO-associated networks, specifically focusing on their role in defining epileptogenic networks and their potential significance in surgical planning.

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