Beyond the Onset: The Diagnostic Value of Late Significant Patterns in Scalp Ictal EEG.

IF 1.7
Duygu Arslan Mehdiyev, Nurhak Demir, İbrahim Öztura, Barış Baklan
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Abstract

PurposeThis study aimed to systematically assess ictal scalp electroencephalography (EEG) evolution by examining both ictal onset characteristics and late significant patterns (LSPs) in adults with focal epilepsy. We aimed to investigate their individual and collective descriptive roles in seizure lateralization and localization, as well as their correlation with seizure semiology, interictal EEG findings, and structural magnetic resonance imaging (MRI) within a multimodal presurgical assessment framework.MethodsWe retrospectively analyzed 67 adults with drug-resistant focal epilepsy who underwent extended video-EEG monitoring, during which 242 seizures were documented. The ictal EEG findings were categorized based on the morphology of the onset and subsequent rhythmic patterns. The yields of lateralization and localization were evaluated independently for ictal onset patterns, LSPs, and combined ictal interpretations. Cohen's κ statistics were used to look at multimodal concordance between ictal EEG, seizure semiology, interictal EEG, and MRI findings.ResultsThe most common types of ictal onset were non-rhythmic or unclassifiable activity (29.3%) and low-voltage fast activity (28.5%). Late significant patterns were detected in 36.8% of seizures, predominantly manifesting as rhythmic theta-alpha activity, followed by repetitive spikes or sharp waves. The integration of LSPs resulted in enhanced lateralization and localization yields, in contrast to the analysis of onset patterns in isolation. At the individual patient level, combined ictal interpretation lateralized seizures in 68.6% of cases and localized seizure-onset regions in 70.1% of cases. There was a high degree of agreement between ictal and interictal EEG (κ = 0.775, strict right-left), a high degree of agreement between ictal EEG and MRI (κ = 0.710), and moderate-to-high agreement between ictal EEG and seizure semiology (κ = 0.647).ConclusionA systematic evaluation of ictal EEG evolution, including the identification of LSPs, provides additional descriptive data that augments conventional ictal-onset analysis in focal epilepsy. The integration of ictal evolution findings with semiology, interictal EEG, and MRI validates a multimodal interpretative framework for presurgical evaluation. These results highlight the possible clinical importance of incorporating seizure evolution analysis into conventional scalp EEG interpretation, although further validation with surgical outcome data is required.

超越起病:头皮头侧脑电图晚期显著特征的诊断价值。
目的本研究旨在通过检查局灶性癫痫成人的发作特征和晚期显著模式(LSPs),系统地评估癫痫发作期头皮脑电图(EEG)的演变。我们的目的是在一个多模态术前评估框架内,研究它们在癫痫发作偏侧和局部化中的个体和集体描述作用,以及它们与癫痫符号学、间期脑电图结果和结构磁共振成像(MRI)的相关性。方法回顾性分析67例成人耐药局灶性癫痫患者,接受延长视频脑电图监测,其中242例癫痫发作。根据发作的形态和随后的节律模式对初始脑电图结果进行分类。侧边化和局部化的产率分别被评估为发病模式、LSPs和联合发病解释。使用Cohen’s κ统计来观察发作期脑电图、癫痫符号学、间歇期脑电图和MRI结果之间的多模态一致性。结果无节律性或不可分类的活动(29.3%)和低压快速活动(28.5%)是最常见的起病类型。在36.8%的癫痫发作中检测到晚期显著模式,主要表现为有节奏的θ - α活动,随后是重复的尖峰或尖锐的波。与孤立的发病模式分析相比,LSPs的整合导致了侧化和局部化产量的增强。在个体患者水平上,68.6%的病例出现癫痫发作偏侧,70.1%的病例出现局部癫痫发作区域。脑电图与发作间期吻合度高(κ = 0.775,严格左右),脑电图与MRI吻合度高(κ = 0.710),脑电图与发作符号学吻合度中高(κ = 0.647)。结论对包括LSPs识别在内的癫痫发作期脑电图演化的系统评价,为局灶性癫痫的常规发作期分析提供了额外的描述性数据。通过符号学、间期脑电图(EEG)和核磁共振成像(MRI)对脑电图演化结果的整合,验证了手术前评估的多模态解释框架。这些结果强调了将癫痫发作演变分析纳入常规头皮脑电图解释的可能临床重要性,尽管需要进一步验证手术结果数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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