Objective: It has been asserted that high-frequency analysis of intracranial EEG (iEEG) data may yield information useful in localizing epileptogenic foci. Methods: We tested whether proposed biomarkers could predict lateralization based on iEEG data collected prior to corpus callostomy (CC) in patients with bisynchronous epilepsy, whose seizures lateralized definitively post-CC. Lateralization data derived from algorithmically-computed ictal phase-locked high gamma (PLHG), high gamma amplitude (HGA) and line length (LL), as well as interictal high-frequency oscillation (HFO) and interictal epileptiform discharge (IED) rate metrics were compared against ground-truth lateralization from post-CC ictal iEEG. Results: Pre-CC unilateral IEDs were more frequent on the more-pathologic side in all subjects. HFO rate predicted lateralization in one subject, but was sensitive to detection threshold. On pre-CC data, no ictal metric showed better predictive power than any other. All post-corpus callosotomy seizures lateralized to the pathological hemisphere using PLHG, HGA and LL metrics. Conclusions: While quantitative metrics of IED rate and ictal HGA, PHLG and LL all accurately lateralize based on post-CC iEEG, only IED rate consistently does so based on pre-CC data. Significance: Quantitative analysis of IEDs may be useful in localizing seizure pathology. More work is needed to develop reliable techniques for high-frequency iEEG analysis.

中文翻译：

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颅内脑电图生物标志物在激光体切开术后快速双同步性癫痫发作中的癫痫发作侧向化。

目的：有人断言，对颅内脑电图（iEEG）数据进行高频分析可能会产生有助于定位致癫痫灶的信息。方法：我们测试了双同步癫痫患者癫痫持续发作后明确出现癫痫发作的生物标志物是否可以根据在体结肠造口术（CC）之前采集的iEEG数据预测癫痫发作的横向偏斜。从算法计算的奇偶极锁相的高伽玛（PLHG），高伽玛振幅（HGA）和线长（LL）以及间质高频振荡（HFO）和间质癫痫样放电（IED）速率指标得出的横向化数据将其与CC术后iEEG的地面真相侧向化进行了比较。 结果：在所有受试者中，CC之前的单侧IED在更多病理性一侧更为频繁。HFO率可预测一名受试者的偏侧性，但对检测阈值敏感。在CC之前的数据上，没有任何一项指标能显示出比其他任何指标更好的预测能力。使用PLHG，HGA和LL指标将所有-体切除后的癫痫发作均偏向病理性半球。 结论：尽管IED率和早期HGA，PHLG和LL的定量指标均基于CC后iEEG准确偏侧，但只有IED率始终基于CC前数据进行。 启示：简易爆炸装置的定量分析可能有助于确定癫痫发作的病理学。开发用于高频iEEG分析的可靠技术还需要做更多的工作。