Aksenova Tatyana I, Volkovych Vladimir V, Villa Alessandro E P
Inserm U318, Laboratoire de Neurosciences Précliniques, Grenoble, France.
J Neural Eng. 2007 Sep;4(3):173-8. doi: 10.1088/1741-2560/4/3/001. Epub 2007 Apr 4.
The study of EEG recordings during the interval prior to an epileptic seizure onset--the preictal period--is likely to detect changes in the ongoing brain activity consistent with seizure anticipation. A novel index of spectral instability (ISpI) based on multiple abrupt changes of EEG spectral features is presented here. Based on the analysis of control records, robust M-estimates are used to calculate the threshold and avoid false warnings. The results obtained with a small data set (three patients, ten preictal records per patient) have shown that the ISpI index provided a warning flag that anticipated the seizure onset by 13.1 (SD = 4.0) min on average.
对癫痫发作开始前的间期——发作前期——进行脑电图(EEG)记录研究,可能会检测到与发作预期一致的正在进行的脑活动变化。本文提出了一种基于EEG频谱特征多次突然变化的频谱不稳定性新指标(ISpI)。基于对照记录的分析,使用稳健的M估计来计算阈值并避免误报。使用一个小数据集(三名患者,每位患者十份发作前期记录)获得的结果表明,ISpI指标提供了一个预警信号,平均提前13.1(标准差=4.0)分钟预测癫痫发作开始。