Department of Neurology, State University of New York Downstate, Brooklyn, NY, 11203, USA.
Department of Physiology and Pharmacology, State University of New York Downstate, Brooklyn, NY, 11203, USA.
Sci Rep. 2021 Nov 1;11(1):21388. doi: 10.1038/s41598-021-00894-3.
To see whether acute intraoperative recordings using stereo EEG (SEEG) electrodes can replace prolonged interictal intracranial EEG (iEEG) recording, making the process more efficient and safer, 10 min of iEEG were recorded following electrode implantation in 16 anesthetized patients, and 1-2 days later during non-rapid eye movement (REM) sleep. Ripples on oscillations (RonO, 80-250 Hz), ripples on spikes (RonS), sharp-spikes, fast RonO (fRonO, 250-600 Hz), and fast RonS (fRonS) were semi-automatically detected. HFO power and frequency were compared between the conditions using a generalized linear mixed-effects model. HFO rates were compared using a two-way repeated measures ANOVA with anesthesia type and SOZ as factors. A receiver-operating characteristic (ROC) curve analysis quantified seizure onset zone (SOZ) classification accuracy, and the scalar product was used to assess spatial reliability. Resection of contacts with the highest rate of events was compared with outcome. During sleep, all HFOs, except fRonO, were larger in amplitude compared to intraoperatively (p < 0.01). HFO frequency was also affected (p < 0.01). Anesthesia selection affected HFO and sharp-spike rates. In both conditions combined, sharp-spikes and all HFO subtypes were increased in the SOZ (p < 0.01). However, the increases were larger during the sleep recordings (p < 0.05). The area under the ROC curves for SOZ classification were significantly smaller for intraoperative sharp-spikes, fRonO, and fRonS rates (p < 0.05). HFOs and spikes were only significantly spatially reliable for a subset of the patients (p < 0.05). A failure to resect fRonO areas in the sleep recordings trended the most sensitive and accurate for predicting failure. In summary, HFO morphology is altered by anesthesia. Intraoperative SEEG recordings exhibit increased rates of HFOs in the SOZ, but their spatial distribution can differ from sleep recordings. Recording these biomarkers during non-REM sleep offers a more accurate delineation of the SOZ and possibly the epileptogenic zone.
为了研究急性术中立体脑电图(SEEG)电极记录是否可以替代延长的间发性颅内脑电图(iEEG)记录,从而使过程更加高效和安全,我们在 16 名麻醉患者植入电极后记录了 10 分钟的 iEEG,并在非快速眼动(REM)睡眠期间的 1-2 天后记录。使用广义线性混合效应模型比较了两种条件下的涟漪在震荡上(RonO,80-250 Hz)、在尖峰上的涟漪(RonS)、尖锐尖峰、快速 RonO(fRonO,250-600 Hz)和快速 RonS(fRonS)的半自动化检测结果。使用双向重复测量方差分析比较了在麻醉类型和 SOZ 作为因素的条件下的 HFO 功率和频率。使用接收者操作特征(ROC)曲线分析量化了发作起始区(SOZ)的分类准确性,并使用标量积评估了空间可靠性。比较了具有最高事件发生率的接触点的切除与结果。与术中相比,在睡眠期间,所有 HFO 除了 fRonO 外,振幅都更大(p<0.01)。HFO 频率也受到影响(p<0.01)。麻醉选择影响 HFO 和尖锐尖峰的发生率。在两种情况下,SOZ 中都增加了尖锐尖峰和所有 HFO 亚型(p<0.01)。然而,在睡眠记录中增加幅度更大(p<0.05)。SOZ 分类的 ROC 曲线下面积在术中锐尖峰、fRonO 和 fRonS 率显著较小(p<0.05)。HFO 和尖峰仅对一部分患者具有显著的空间可靠性(p<0.05)。未能切除睡眠记录中的 fRonO 区域趋势是预测失败最敏感和准确的。总的来说,麻醉会改变 HFO 的形态。术中 SEEG 记录显示 SOZ 中 HFO 的发生率增加,但它们的空间分布可能与睡眠记录不同。在非 REM 睡眠期间记录这些生物标志物可以更准确地描绘 SOZ 并可能描绘出致痫区。