Schindler K, Wiest R, Kollar M, Donati F
Department of Neurology, University Hospital of Bern, Inselspital, 3010, Bern, Switzerland.
Clin Neurophysiol. 2002 Apr;113(4):604-14. doi: 10.1016/s1388-2457(02)00032-9.
To test if a method for real-time detection of epileptic seizures based on electroencephalographic (EEG) analysis with simulated neuronal cell models can be modified to identify pre-seizure changes.
Our EEG analysis method consists of two simulated leaky integrate and fire units (LIFU) connected to a signal preprocessing stage that marks parts of the EEG signals with slopes larger than a preset threshold Hth with unit pulses. The LIFUs change their spiking frequency depending on the rate and the synchrony of the impinging pulse trains. Here, we use our method in a high-sensitivity mode by setting Hth to low values, which causes the LIFUs to continuously spike during the interictal state. We test if the LIFUs spiking rates change before seizure onset.
We used 9 long-term EEGs (16+/-7 h) of 7 patients with drug resistant epilepsy. Fifteen seizures were analyzed and all were preceded by an increase of the time-averaged spiking rates SR(av) of the LIFUs. We defined a function F(Sz), which quantifies the changes of SR(av). F(Sz) increased and stayed above an individually set and fixed threshold 83+/-91 min (range: 4-330 min) before EEG seizure onset. Only two false alarms occurred.
We conclude that EEG analysis with simulated neuronal cell models may be used to detect pre-seizure changes with high sensitivity and specificity.
测试一种基于脑电图（EEG）分析和模拟神经元细胞模型的癫痫发作实时检测方法是否可以修改以识别发作前的变化。
我们的脑电图分析方法由两个模拟的漏电积分发放单元（LIFU）组成，它们连接到一个信号预处理阶段，该阶段用单位脉冲标记脑电图信号中斜率大于预设阈值Hth的部分。LIFU根据传入脉冲序列的速率和同步性改变其发放频率。在这里，我们通过将Hth设置为低值，以高灵敏度模式使用我们的方法，这使得LIFU在发作间期持续发放。我们测试LIFU的发放率在癫痫发作开始前是否会发生变化。
我们使用了7例耐药性癫痫患者的9份长期脑电图（16±7小时）。分析了15次癫痫发作，所有发作之前LIFU的时间平均发放率SR(av)均增加。我们定义了一个函数F(Sz)，它量化了SR(av)的变化。在脑电图癫痫发作开始前，F(Sz)增加并保持在个体设定的固定阈值83±91分钟（范围：4 - 330分钟）以上。仅出现了两次误报。
我们得出结论，使用模拟神经元细胞模型进行脑电图分析可用于以高灵敏度和特异性检测发作前的变化。
