癫痫手术期间靶向间期低熵区可预测小儿耐药癫痫的成功结局。

IF 6.6 1区 医学 Q1 CLINICAL NEUROLOGY
Epilepsia Pub Date : 2025-09-20 DOI:10.1111/epi.18636
Navaneethakrishna Makaram, Matthew Pesce, Melissa Tsuboyama, Jeffrey Bolton, Joseph Harmon, Christos Papadelis, Scellig Stone, Phillip Pearl, Alexander Rotenberg, Ellen P Grant, Eleonora Tamilia
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引用次数: 0

摘要

目的:大约40%接受癫痫手术的儿童术后癫痫发作,强调需要加强对癫痫发生区(EZ)的估计。我们假设,即使在没有常规峰值的情况下,间隔期视觉上难以察觉的低熵活动也是EZ的一个强大特征。为了验证这一点,我们使用颅内脑电图(iEEG)绘制了耐药癫痫(DRE)儿童的间期“低熵区”,并评估了它们在手术中作为目标时对术后预后预测的价值,以及它们在长时间内的稳定性。方法:我们分析了75例DRE患儿的脑电图数据,包括已知Engel结局患者的简短(5分钟)数据(N = 59,用于结局预测)以及来自近期单独队列的长期数据(N = 16,用于稳定性评估)。我们估计了每个接触在不同频率上的熵(从delta到快速波纹),确定了低熵区域,并评估了它们的移除是否可以预测结果(3倍交叉验证)。此外,熵在非癫痫样(无峰)时期的预测值也进行了评估。此外,建立的区间估计器(纹波尖峰,快速纹波)用于结果预测进行了测试。使用延长的数据集,我们测试了短时间内的熵分布是否与延长(3小时)的数据相似。结果:低熵区和切除之间的高度重叠与低Engel分类相关(p 0.8, p 0.6)。意义:手术定位低熵区能准确预测DRE患儿术后癫痫发作结局。使用简短的iEEG片段绘制低熵活动与使用长时间数据显示一致性,可以增强儿科DRE的手术计划。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Targeting interictal low-entropy zones during epilepsy surgery predicts successful outcomes in pediatric drug-resistant epilepsy.

Objective: Approximately 40% of children undergoing epilepsy surgery have postoperative seizures, underscoring the need for enhanced estimators of the epileptogenic zone (EZ). We hypothesize that visually imperceptible low-entropy activity in the interictal periods, even in the absence of conventional spikes, is a robust signature of the EZ. To test this, we mapped interictal "low-entropy zones" using intracranial electroencephalography (iEEG) in children with drug-resistant epilepsy (DRE) and assessed their value for postsurgical outcome prediction when targeted during surgery, along with their stability over prolonged periods.

Methods: We analyzed iEEG data of 75 DRE children, including brief (5 min) data from patients with known Engel outcome (N = 59; used for outcome prediction) plus prolonged data from a separate recent cohort (N = 16; used for stability assessment). We estimated each contact's entropy across various frequencies (delta to fast-ripple), pinpointed low-entropy zones, and assessed whether their removal predicts outcome (3-fold cross-validation). In addition, the predictive value of entropy during non-epileptiform (spike-free) epochs was also assessed. Furthermore, established interictal estimators (spikes-on-ripple, fast ripples) were tested for outcome prediction. Using the prolonged dataset, we tested whether entropy distribution over brief epochs was similar to prolonged (3 h) data.

Results: High overlap between low-entropy zones and resection correlated with low Engel class (p < 0.0001, R = -0.54, N = 59), also during non-epileptiform epochs (R = -0.52). Low-entropy-zone removal predicted outcomes with F1 score of 87% (p < 0.0001, N = 51; Engel I vs III-IV) outperforming spikes-on-ripple (F1 score = 82%, p = 0.002) or fast ripples (F1 score = 80%, p = 0.01). Low-entropy zones retained high predictive value when non-epileptiform epochs were used (F1 score = 89%, N = 44). Entropy distribution over brief epochs was strongly correlated with prolonged data (R > 0.8, p < 0.0001), and its relationship with seizure-onset zone did not differ (brief vs prolonged data: p > 0.6).

Significance: Surgically targeting low-entropy zones accurately predicts the postoperative seizure outcomes of children with DRE. Mapping low-entropy activity using brief iEEG segments shows consistency with using prolonged data and could enhance surgical planning in pediatric DRE.

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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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