Department of Neurology, University of Massachusetts Medical School, Worcester, Massachusetts 01655, USA.
Int J Neurosci. 2010 Mar;120(3):222-5. doi: 10.3109/00207451003597185.
Epilepsy affects 1%-2% of the general population, almost 50% of whom are medically refractory and poses a huge burden. A device can possibly be designed for responsive brain stimulation of the epileptogenic focus for seizure control but optimal seizure detection patterns and stimulus parameters are not yet determined. To explore the possibility of identifying a signature prior to the seizure, we studied the dynamic evolution of frequency from electroencephalography (EEG) of three patients with partial epilepsy using the method of frequency flow. We found that prior to seizure, the frequency flow dynamics exhibit a buildup of 5-12 Hz activity which remains high during the initial stage of the seizure with a characteristic time constant and may be used for seizure detection and/or anticipation. We conclude that dynamics of frequency flow in the 5-12 Hz range can be a potential marker for the detection and/or the anticipation of the seizure in temporal lobe epilepsy.
癫痫影响一般人群的 1%-2%，其中近 50%的患者药物难治，负担巨大。可以设计一种针对致痫灶的反应性脑刺激的装置来控制癫痫发作，但最佳的癫痫发作检测模式和刺激参数尚不确定。为了探索在癫痫发作前识别特征的可能性，我们使用频率流的方法研究了三位部分癫痫患者的脑电图（EEG）频率的动态演变。我们发现，在癫痫发作前，频率流动力学表现出 5-12 Hz 活动的积累，在癫痫发作的初始阶段仍然保持较高水平，具有特征时间常数，可用于癫痫发作的检测和/或预测。我们的结论是，5-12 Hz 范围内的频率流动力学可能是检测和/或预测颞叶癫痫发作的潜在标志物。
