Unit of Neurology, Neurophysiology, Neurobiology, Department of Medicine, University Campus Bio-Medico of Rome, via Álvaro del Portillo, 21, 00128 Rome, Italy.
Unit of Neurology, Neurophysiology, Neurobiology, Department of Medicine, University Campus Bio-Medico of Rome, via Álvaro del Portillo, 21, 00128 Rome, Italy.
Clin Neurophysiol. 2021 Jan;132(1):25-35. doi: 10.1016/j.clinph.2020.10.020. Epub 2020 Nov 12.
To determine the quantitative EEG responses in a population of drug-naïve patients with Temporal Lobe Epilepsy (TLE) after Levetiracetam (LEV) initiation as first antiepileptic drug (AED). We hypothesized that the outcome of AED treatment can be predicted from EEG data in patients with TLE.
Twenty-three patients with TLE and twenty-five healthy controls were examined. Clinical outcome was dichotomized into seizure-free (SF) and non-seizure-free (NSF) after two years of LEV. EEG parameters were compared between healthy controls and patients with TLE at baseline (EEG) and after three months of AED therapy (EEG) and between SF and NSF patients. Receiver Operating Characteristic curves models were built to test whether EEG parameters predicted outcome.
AED therapy induces an increase in EEG power for Alpha (p = 0.06) and a decrease in Theta (p < 0.05). Connectivity values were lower in SF compared to NSF patients (p < 0.001). Quantitative EEG predicted outcome after LEV treatment with an estimated accuracy varying from 65.2% to 91.3% (area under the curve [AUC] = 0.56-0.93) for EEG and from 69.9% to 86.9% (AUC = 0.69-0.94) for EEG.
AED therapy induces EEG modifications in TLE patients, and such modifications are predictive of clinical outcome.
Quantitative EEG may help understanding the effect of AEDs in the central nervous system and offer new prognostic biomarkers for patients with epilepsy.
确定左乙拉西坦（LEV）作为一线抗癫痫药物（AED）治疗初发颞叶癫痫（TLE）患者的定量脑电图（EEG）反应。我们假设从 TLE 患者的 EEG 数据可以预测 AED 治疗的结果。
对 23 例 TLE 患者和 25 例健康对照者进行检查。临床结果在 LEV 治疗两年后分为无发作（SF）和有发作（NSF）。将健康对照组与 TLE 患者的基线（EEG）和 AED 治疗三个月后的 EEG 参数进行比较（EEG），并将 SF 与 NSF 患者进行比较。构建受试者工作特征曲线模型，以测试 EEG 参数是否可以预测结果。
AED 治疗可引起 Alpha 频段 EEG 功率增加（p=0.06）和 Theta 频段 EEG 功率降低（p<0.05）。SF 患者的连接值低于 NSF 患者（p<0.001）。定量 EEG 预测 LEV 治疗后的结果，EEG 的估计准确率为 65.2%至 91.3%（曲线下面积 [AUC]为 0.56-0.93），EEG 的估计准确率为 69.9%至 86.9%（AUC 为 0.69-0.94）。
AED 治疗可诱导 TLE 患者的 EEG 改变，并且这些改变可预测临床结果。
定量 EEG 可能有助于了解 AED 在中枢神经系统中的作用，并为癫痫患者提供新的预后生物标志物。
