论文标题
癫痫发作严重程度的定量标记库
A library of quantitative markers of seizure severity
论文作者
论文摘要
目的:了解个体内部癫痫发作严重程度的波动对于定义治疗结果和对治疗的反应以及开发癫痫的新型治疗方法很重要。当前的评级癫痫发作严重程度的方法取决于患者和临床医生的定性解释。癫痫发作严重程度的定量度量将补充现有方法,以进行脑电图监测,结果监测和癫痫发作预测。因此,我们开发了一个定量脑电图(EEG)标记的库,该库评估了癫痫发作和癫痫发作期间和之后的异常电活动的扩散和强度。方法:我们分析了63例患者的1056次癫痫发作的颅内脑电图(IEEG)记录。对于每次癫痫发作,我们计算了16个癫痫发作严重程度的标记,这些标记捕获了信号幅度,扩散,持续时间和癫痫发作后的抑制。结果:癫痫发作严重程度的定量脑电图标志物区分局灶性与亚临床和局灶性与FTBTC癫痫发作。在个别患者中,有71%的焦点和亚临床癫痫发作中的三个或更多标记中的局灶性癫痫发作中有71%的差异。昼夜节律和长期的严重程度分别为67%和53%的患者。结论:我们证明了使用定量IEEG标记来测量癫痫发作严重程度的可行性。我们的定量标记区分癫痫发作类型,因此对癫痫发作严重程度的既定定性差异敏感。我们的结果还表明,癫痫发作的严重程度在不同的时间尺度上受到调节。我们设想,我们提出的癫痫发作严重性库将与癫痫研究社区合作扩展和更新,以包括更多的措施和方式。
Purpose: Understanding fluctuations of seizure severity within individuals is important for defining treatment outcomes and response to therapy, as well as developing novel treatments for epilepsy. Current methods for grading seizure severity rely on qualitative interpretations from patients and clinicians. Quantitative measures of seizure severity would complement existing approaches, for EEG monitoring, outcome monitoring, and seizure prediction. Therefore, we developed a library of quantitative electroencephalographic (EEG) markers that assess the spread and intensity of abnormal electrical activity during and after seizures. Methods: We analysed intracranial EEG (iEEG) recordings of 1056 seizures from 63 patients. For each seizure, we computed 16 markers of seizure severity that capture the signal magnitude, spread, duration, and post-ictal suppression of seizures. Results: Quantitative EEG markers of seizure severity distinguished focal vs. subclinical and focal vs. FTBTC seizures across patients. In individual patients, 71% had a moderate to large difference (ranksum r > 0.3) between focal and subclinical seizures in three or more markers. Circadian and longer-term changes in severity were found for 67% and 53% of patients, respectively. Conclusion: We demonstrate the feasibility of using quantitative iEEG markers to measure seizure severity. Our quantitative markers distinguish between seizure types and are therefore sensitive to established qualitative differences in seizure severity. Our results also suggest that seizure severity is modulated over different timescales. We envisage that our proposed seizure severity library will be expanded and updated in collaboration with the epilepsy research community to include more measures and modalities.