Department of Electrical Engineering, University of Washington, Seattle, WA 98195, USA.
Brain Topogr. 2013 Jan;26(1):1-8. doi: 10.1007/s10548-012-0236-z. Epub 2012 Jun 15.
The stochastic behavior of the phase synchronization index (SI) on different days during a hospital stay of epileptic patients was studied for noninvasive localization of the epileptogenic areas from high density (256 channel) scalp EEG recordings. The study was performed on three subjects with interictal EEG data on different days. The seizure areas were localized with subdural recordings with an 8 × 8 grid electrode array. The study was performed in low gamma (30-50 Hz) band with short duration (0-180 s), seizure-free and spike-free scalp EEG data. A detrended fluctuation analysis was used to find the averaged stochastic fluctuations in the SI. The phase synchronization was computed after taking Hilbert transform of the EEG data. Contour plots were constructed with 20 s time-frames using a montage of the layout of 256 electrode positions. It was found that the stochastic behavior of the SI was higher in epileptogenic areas on different days for each subject. Also, a stable higher pattern of SI emerged after 60-100 s in the epileptogenic areas. These findings suggest that it is possible to localize the epileptogenic areas from the short duration (60-100 s), seizure-free and spike-free high density scalp EEG recordings.
本研究旨在通过对癫痫患者住院期间不同日的高密度(256 通道)头皮 EEG 记录进行相位同步指数(SI)的随机行为研究,实现对致痫区的非侵入性定位。该研究共纳入 3 名患者,对其不同日的间期 EEG 数据进行了分析。通过 8×8 栅格电极阵列的硬膜下记录对致痫区进行定位。在低频段(30-50Hz)、短持续时间(0-180s)、无癫痫发作和无棘波的头皮 EEG 数据中进行研究。采用去趋势波动分析(DFA)来寻找 SI 的平均随机波动。通过对 EEG 数据进行希尔伯特变换来计算相位同步。使用 256 个电极位置布局的组合,以 20s 的时间帧构建轮廓图。结果发现,对于每个患者,在不同日的致痫区,SI 的随机行为更高。此外,在致痫区 60-100s 后出现了稳定的更高模式的 SI。这些发现表明,有可能从短持续时间(60-100s)、无癫痫发作和无棘波的高密度头皮 EEG 记录中定位致痫区。