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首页> 外文期刊>Clinical neurophysiology >The electroencephalogram through a software microscope: non-invasive localization and visualization of epileptic seizure activity from inside the brain.
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The electroencephalogram through a software microscope: non-invasive localization and visualization of epileptic seizure activity from inside the brain.

机译:通过软件显微镜的脑电图:非侵入性定位和从大脑内部观察癫痫发作的活动。

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摘要

OBJECTIVE: We developed a novel non-invasive analysis to localize the source and visualize the time course of electrical activity generated inside the brain but unclear from the scalp. This analysis applies to signals with unique waveform characteristics, such as seizures. METHODS: The method extracts activity from an EEG data matrix as a spatiotemporal component having waveforms uncorrelated to the other concurrent activities. The method also provides the location and orientation of the dipole generating this activity. We applied this method to ten scalp seizures in three patients with temporal lobe epilepsy and single-focus seizures confirmed by intracerebral recordings. A realistic head model based on MRI was used for computation of field distributions. RESULTS: When seizure activity was still not visually identifiable on the scalp, the method demonstrated in all scalp seizures a source in the temporal neocortex corresponding clearly to the region of seizure activity in intracerebral recordings. Frequency characteristics of the estimated activities also resembled those of the intracerebral seizures. CONCLUSIONS: This method enables estimation of focal brain activity when its effect on scalp EEG is unclear to visual examination. It works in situations where currently available source analyses methods, which require noiseless definite activity, are not applicable.
机译:目的:我们开发了一种新颖的非侵入性分析方法,以定位来源并可视化大脑内部产生的电活动的时程,但头皮不清楚。此分析适用于具有独特波形特征的信号,例如癫痫发作。方法:该方法从EEG数据矩阵中提取活动,作为时空成分,其波形与其他并发活动无关。该方法还提供产生这种活动的偶极子的位置和方向。我们将这种方法应用于三例颞叶癫痫和经脑记录证实的单灶性癫痫发作的十例头皮癫痫发作。使用基于MRI的真实头部模型来计算场分布。结果:当在头皮上仍不能从视觉上识别癫痫发作的活动时,该方法在所有头皮癫痫发作中都证实了颞新皮层中的一个来源,该来源与脑记录中的癫痫发作活动区域明显相对应。估计活动的频率特征也类似于脑癫痫发作的频率特征。结论:当目测尚不清楚其对头皮脑电图的影响时,该方法能够估计局灶性脑活动。它适用于需要无噪声确定活动的当前可用源分析方法不适用的情况。

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