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Spatial distribution of interictal spikes fluctuates over time and localizes seizure onset

机译:Interrictal Spikes的空间分布随着时间的推移波动并定位癫痫发作

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摘要

The location of interictal spikes is used to aid surgical planning in patients with medically refractory epilepsy; however, their spatial and temporal dynamics are poorly understood. In this study, we analysed the spatial distribution of interictal spikes over time in 20 adult and paediatric patients (12 females, mean age = 34.5 years, range = 5-58) who underwent intracranial EEG evaluation for epilepsy surgery. Interictal spikes were detected in the 24 h surrounding each seizure and spikes were clustered based on spatial location. The temporal dynamics of spike spatial distribution were calculated for each patient and the effects of sleep and seizures on these dynamics were evaluated. Finally, spike location was assessed in relation to seizure onset location. We found that spike spatial distribution fluctuated significantly over time in 14/20 patients (with a significant aggregate effect across patients, Fisher's method: P < 0.001). A median of 12 sequential hours were required to capture 80% of the variability in spike spatial distribution. Sleep and postictal state affected the spike spatial distribution in 8/20 and 4/20 patients, respectively, with a significant aggregate effect (Fisher's method: P < 0.001 for each). There was no evidence of pre-ictal change in the spike spatial distribution for any patient or in aggregate (Fisher's method: P= 0.99). The electrode with the highest spike frequency and the electrode with the largest area of downstream spike propagation both localized the seizure onset zone better than predicted by chance (Wilcoxon signed-rank test: P = 0.005 and P = 0.002, respectively). In conclusion, spikes localize seizure onset. However, temporal fluctuations in spike spatial distribution, particularly in relation to sleep and post-ictal state, can confound localization. An adequate duration of intracranial recording-ideally at least 12 sequential hours-capturing both sleep and wakefulness should be obtained to sufficiently sample the interictal network.
机译:嵌入钉的位置用于帮助医学难治性癫痫患者的手术计划;然而,他们的空间和时间动态被理解得很差。在这项研究中,我们分析了20名成人和儿科患者(12名女性,平均年龄= 34.5岁,范围= 5-58)随着时间的推移随着时间的推移的空间分布。在每个癫痫发作的24小时内检测到嵌入钉,并且基于空间位置聚集尖峰。计算每位患者的尖峰空间分布的时间动态,评估睡眠和癫痫发作对这些动态的影响。最后,关于癫痫发作位置的评估了尖峰位置。我们发现,在14/20名患者中,尖峰空间分布显着波动(患者对患者的显着效果,Fisher的方法:P <0.001)。需要12个顺序时间的中值来捕获尖峰空间分布中的80%的可变性。睡眠和后期状态分别影响了8/20和4/20患者的尖峰空间分布,具有显着的总效应(Fisher的方法:每次P <0.001)。没有证据表明任何患者或聚集体中的尖峰空间分布发生普及出的变化(Fisher的方法:P = 0.99)。具有最高尖峰频率的电极和具有最大下游尖峰传播的电极的电极都是局部化的癫痫发作区域,比偶然的预测更好(Wilcoxon签名 - 秩测试:P = 0.005和P = 0.002)。总之,尖峰本地化癫痫发作。然而,尖峰空间分布中的时间波动,特别是与睡眠和外别国家的关系,可以混淆定位。应该获得足够的颅内记录的持续时间 - 理想地应获得睡眠和醒来的至少12个顺序时间,以充分地样本内部网络。

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