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Comparative Analysis of Temporal Dynamics of EEG and Phase Synchronization of EEG to Localize Epileptic Sites from High Density Scalp EEG Interictal Recordings

机译:高密度头皮EEG嵌入记录脑电坡脑脑同步的对比分析

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Our objective was to examine if the high-density, 256 channel, scalp interictal EEG data can be used for localizing the epilepsy areas in patients. This was done by examining the long-range temporal correlations (LRTC) of EEGs and also that of the phase synchronization index (SI) of EEGs. It was found that the LRTC of scalp SI plots were better in localizing the seizure areas as compared with the LRTC of EEGs alone. The EEG data of one minute duration was filtered in the low Gamma band of 30-50 Hz. A detrended fluctuation analysis (DFA) was used to find LRTC of the scalp EEG data. Contour plots were constructed using a montage of the layout of 256 electrode positions. The SI was computed after taking Hilbert transform of the EEG data. The SI between a pair of channel was inferred from a statistical tendency to maintain a nearly constant phase difference over a given period of time even though the analytic phase of each channel may change markedly during that time frame. The SI for each electrode was averaged over with the nearby six electrodes. LRTC of the SI was computed and spatial plots were made. It was found that the LRTC of SI was highest at the location of the epileptic sites. A similar pattern was not found in the LRTC of EEGs. This provides a noninvasive way to localize seizure areas from scalp EEG data.
机译:我们的目的是检查如果高密度,256频道,头皮嵌入EEG数据可用于本地化患者的癫痫区域。这是通过检查EEG的远程时间相关性(LRTC)以及EEG的相位同步索引(SI)来完成。结果发现,与单独的脑电图的LRTC相比,头皮SI图的LRTC更好地定位癫痫发作区域。在30-50Hz的低伽马带中过滤一分钟持续时间的EEG数据。使用了减重的波动分析(DFA)来查找头皮EEG数据的LRTC。使用256个电极位置的布局的蒙太奇构造轮廓图。在服用脑电图数据的HILBERT转换后计算SI。从统计趋势推断出一对信道之间的SI,以在给定的时间段内维持几乎恒定的相位差,即使每个信道的分析阶段可能在该时间帧期间可以显着改变。每个电极的Si在附近的六个电极上平均值。 Si的LRTC是计算的,并进行了空间图。发现Si的LRTC在癫痫位点的位置最高。在脑电图的LRTC中没有发现类似的模式。这提供了一种非侵入性的方式,可以从头皮EEG数据本地化癫痫发布区域。

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