Samson-Dollfus D, Delmer C, Fazi S, Dreano E, Fodil D, Blasquez R, Terrisse V
Rev Electroencephalogr Neurophysiol Clin. 1987 Mar;17(1):79-90. doi: 10.1016/s0370-4475(87)80117-x.
The topography of basic EEG rhythms brings a new dimension to our understanding of normal and pathologic electrogenesis in the brain. But our experience has shown that it is valuable to make use of the numeric spectral data in order to best decide which rhythms should be mapped. This study demonstrates that quantification of basic EEG rhythms is valuable, not only for beta activity in pharmacology or as an aid for the diagnosis and localization of epilepsy (as has been reported in the literature), but for the other rhythms as well. Our experience to date suggests that EEG rhythms be divided into two major groups: 1) occipital rhythms of extremely variable power which have a peak frequency equal to or greater than 8 Hz and which react to eye opening and 2) parietal-central rhythms which have a frequency equal to or less than 7.5 Hz and which are unreactive to eye opening. Alteration of these characteristics may occur as a result of widely different types of pathology but are usually not visible in the traditional EEG.
基本脑电图节律的地形图为我们理解大脑正常和病理性电发生带来了新的维度。但我们的经验表明，利用数字频谱数据来最佳地确定哪些节律应被映射是很有价值的。这项研究表明，基本脑电图节律的量化是有价值的，不仅对于药理学中的β活动或作为癫痫诊断和定位的辅助手段（如文献中所报道的），对于其他节律也是如此。我们目前的经验表明，脑电图节律可分为两大类：1）功率极不稳定的枕叶节律，其峰值频率等于或大于8赫兹，且对睁眼有反应；2）顶叶-中央节律，其频率等于或小于7.5赫兹，且对睁眼无反应。这些特征的改变可能由多种不同类型的病理情况引起，但在传统脑电图中通常不可见。
