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癫痫的脑电图:寻找超出视觉检查的内容。

Electroencephalography in epilepsy: look for what could be beyond the visual inspection.

机构信息

Hamad Medical Corporation, Doha, Qatar.

Weill Cornell Medical College, Doha, Qatar.

出版信息

Neurol Sci. 2019 Nov;40(11):2287-2291. doi: 10.1007/s10072-019-04026-8. Epub 2019 Jul 27.

DOI:10.1007/s10072-019-04026-8
PMID:31350660
Abstract

Since its starting point in 1929, human scalp electroencephalography (EEG) has been routinely interpreted by visual inspection of waveforms using the assumption that the activity at a given electrode is a representation of the activity of the cerebral cortex under it, but such a method has some limitations. In this review, we will discuss three advanced methods to obtain valuable information from scalp EEG in epilepsy using innovative technologies. Authors who had previous publications in the field provided a narrative review. Spike voltage topography of interictal spikes is a potential way to improve non-invasive EEG localization in focal epilepsies. Electrical source imaging is also a complementary technique in localization of the epileptogenic zone in patients who are candidates for epilepsy surgery. Quantitative EEG simplifies the large amount of information in continuous EEG by providing a static graphical display. Scalp electroencephalography has the potential to offer more spatial and temporal information than the traditional way of visual inspection alone in patients with epilepsy. Fortunately, with the help of modern digital EEG equipment and computer-assisted analysis, this information is more accessible.

摘要

自 1929 年以来,头皮脑电图(EEG)一直通过使用假设在给定电极处的活动是其下方大脑皮层活动的代表的方法来进行常规的波形目视检查,但这种方法存在一些局限性。在这篇综述中,我们将讨论三种使用创新技术从癫痫头皮 EEG 中获取有价值信息的先进方法。在该领域有先前出版物的作者提供了叙述性综述。发作间期棘波的棘波电压拓扑是提高局灶性癫痫中非侵入性 EEG 定位的一种潜在方法。在适合癫痫手术的患者中,电源成像也是致痫区定位的一种补充技术。定量脑电图通过提供静态图形显示来简化连续 EEG 中的大量信息。与传统的视觉检查方法相比,头皮脑电图在癫痫患者中具有提供更多空间和时间信息的潜力。幸运的是,借助现代数字 EEG 设备和计算机辅助分析,这些信息更容易获取。

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本文引用的文献

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Emotional consciousness preserved in patients with disorders of consciousness?意识障碍患者存在情绪意识吗?
Neurol Sci. 2019 Jul;40(7):1409-1418. doi: 10.1007/s10072-019-03848-w. Epub 2019 Apr 2.
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Source localization of epileptiform discharges in childhood absence epilepsy using a distributed source model: a standardized, low-resolution, brain electromagnetic tomography (sLORETA) study.应用分布式源模型对儿童失神癫痫的癫痫样放电进行源定位:一项标准化、低分辨率脑电磁断层扫描(sLORETA)研究。
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Epilepsy detection from EEG signals: a review.
在埃及阿拉伯小马驹中使用舌下盐酸右美托咪定镇静下进行脑电图评估,以调查癫痫。
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An online, interactive, screen-based simulator for learning basic EEG interpretation.一款用于学习基本脑电图解读的在线、交互式、基于屏幕的模拟器。
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Epileptic seizure detection in EEG signal using machine learning techniques.使用机器学习技术检测脑电图(EEG)信号中的癫痫发作
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