在立体脑电图中结合发作间期标记物和刺激性癫痫发作来估计癫痫发作起始区的价值。

IF 6.6 1区 医学 Q1 CLINICAL NEUROLOGY
Epilepsia Pub Date : 2024-08-20 DOI:10.1111/epi.18083
Lauri Rekola, Maria Peltola, Jukka Vanhanen, Juha Wilenius, Eeva-Liisa Metsähonkala, Leena Kämppi, Leena Lauronen, Päivi Nevalainen
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引用次数: 0

摘要

研究目的本研究旨在调查发作间期脑电图(EEG)结果和立体脑电图(SEEG)期间电刺激癫痫发作作为自发性癫痫发作起始区(spSOZ)替代标记的潜力。我们假设,将这些标记的定位信息结合起来,就能对 spSOZ 进行有临床意义的估计:我们纳入了 2013 年 1 月至 2020 年 3 月期间在赫尔辛基大学医院接受 SEEG 且在记录期间有自发癫痫发作的所有患者(n = 63)。在包含清醒状态和睡眠状态的 12 小时内,我们对每个通道上的尖峰、伽马活动和背景异常进行了视觉评分。根据符号学,我们将受刺激的癫痫发作分为典型或非典型/不可分类,并估算出典型癫痫发作的受刺激 SOZ(stimSOZ)。为了评估哪些标记物会增加通道被纳入刺激性 SOZ 的几率,我们建立了混合效应逻辑回归模型:结果:在估计哪些通道属于 spSOZ 的一部分时,包括刺激 SOZ 和睡眠时发作间期标记物的组合回归模型比基于刺激 SOZ 的模型表现更好(p .05):与单独使用其中一种标记物相比,将视觉评分的发作间期 SEEG 标记物和刺激性癫痫发作结合在一起能更好地预测哪些 SEEG 通道属于 spSOZ。纳入刺激SOZ和连续或亚连续尖峰增加了纳入spSOZ的几率。未来的研究应探讨真正致痫区的次优取样是否可以解释该模型在某些患者中表现不佳的原因。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Combined value of interictal markers and stimulated seizures to estimate the seizure onset zone in stereoelectroencephalography

Combined value of interictal markers and stimulated seizures to estimate the seizure onset zone in stereoelectroencephalography

Objective

This study was undertaken to investigate the potential of interictal electroencephalographic (EEG) findings and electrically stimulated seizures during stereo-EEG (SEEG) as surrogate markers for the spontaneous seizure onset zone (spSOZ). We hypothesized that combining the localizing information of these markers would allow clinically meaningful estimation of the spSOZ.

Methods

We included all patients (n = 63) who underwent SEEG between January 2013 and March 2020 at Helsinki University Hospital and had spontaneous seizures during the recording. We scored spikes, gamma activity, and background abnormality on each channel visually during a 12-h epoch containing waking state and sleep. Based on semiology, we classified stimulated seizures as typical or atypical/unclassifiable and estimated the stimulated SOZ (stimSOZ) for typical seizures. To assess which markers increased the odds of channel inclusion in the spSOZ, we fitted mixed effects logistic regression models.

Results

A combined regression model including the stimSOZ and interictal markers scored during sleep performed better in estimating which channels were part of the spSOZ than models based on stimSOZ (p < .001) or interictal markers (p < .001) alone. Of the individual markers, the effect sizes were greatest for inclusion of a channel in the stimSOZ (odds ratio [OR] = 60, 95% confidence interval [CI] = 37–97, p < .001) and for continuous (OR = 25, 95% CI = 12–55, p < .001) and subcontinuous (OR = 36, 95% CI = 21–64, p < .001) interictal spiking. At the individual level, the model's accuracy to predict spSOZ inclusion varied markedly (median accuracy = 85.7, range = 54.4–100), which was not explained by etiology (p > .05).

Significance

Compared to either marker alone, combining visually rated interictal SEEG markers and stimulated seizures improved prediction of which SEEG channels belonged to the spSOZ. Inclusion in the stimSOZ and continuous or subcontinuous spikes increased the odds of spSOZ inclusion the most. Future studies should investigate whether suboptimal sampling of the true epileptogenic zone can explain the model's poor performance in certain patients.

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来源期刊
Epilepsia
Epilepsia 医学-临床神经学
CiteScore
10.90
自引率
10.70%
发文量
319
审稿时长
2-4 weeks
期刊介绍: Epilepsia is the leading, authoritative source for innovative clinical and basic science research for all aspects of epilepsy and seizures. In addition, Epilepsia publishes critical reviews, opinion pieces, and guidelines that foster understanding and aim to improve the diagnosis and treatment of people with seizures and epilepsy.
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