脑电图正常变异：一项使用SCORE系统的前瞻性研究。
EEG normal variants: A prospective study using the SCORE system.
作者信息
Wüstenhagen Stephan, Terney Daniella, Gardella Elena, Meritam Larsen Pirgit, Rømer Connie, Aurlien Harald, Beniczky Sándor
机构信息
Department of Clinical Neurophysiology, Danish Epilepsy Centre, Dianalund, Denmark.
University of Southern Denmark, Denmark.
出版信息
Clin Neurophysiol Pract. 2022 Jun 30;7:183-200. doi: 10.1016/j.cnp.2022.06.001. eCollection 2022.
OBJECTIVE
To determine the prevalence and characteristics of normal variants in EEG recordings in a large cohort, and provide readers with typical examples of all normal variants for educational purposes.
METHODS
Using the SCORE EEG system (Standardized Computer-Based Organized Reporting of EEG), we prospectively extracted EEG features in consecutive patients. In this dataset, we analyzed 3050 recordings from 2319 patients (mean age 38.5 years; range: 1-89 years).
RESULTS
The distribution of the normal variants was as follows: sharp transients 19.21% (including wicket spikes), rhythmic temporal theta of drowsiness 6.03%, temporal slowing of the old 2.89%, slow fused transients 2.59%, 14-and 6-Hz bursts 1.83%, breach rhythm 1.25%, small sharp spikes 1.05%, 6-Hz spike and slow wave 0.69% and SREDA 0.03%.
CONCLUSIONS
The most prevalent normal variants are the sharp transients, which must not be over-read as epileptiform discharges.
SIGNIFICANCE
EEG readers must be familiar with the normal variants to avoid misdiagnosis and misclassification of patients referred to clinical EEG recordings.
目的
确定一个大型队列脑电图记录中正常变异的患病率和特征，并为读者提供所有正常变异的典型示例以供教学使用。
方法
使用SCORE脑电图系统（基于计算机的标准化脑电图有组织报告），我们前瞻性地提取了连续患者的脑电图特征。在这个数据集中，我们分析了来自2319名患者（平均年龄38.5岁；范围：1 - 89岁）的3050份记录。
结果
正常变异的分布如下：尖形瞬变19.21%（包括棘状波），困倦时的节律性颞叶θ波6.03%，老年人颞叶慢波2.89%，缓慢融合瞬变2.59%，14和6赫兹爆发波1.83%，缺口节律1.25%，小尖棘波1.05%，6赫兹棘波和慢波0.69%，以及SREDA 0.03%。
结论
最常见的正常变异是尖形瞬变，绝不能过度解读为癫痫样放电。
意义
脑电图阅片者必须熟悉正常变异，以避免对临床脑电图记录转诊患者的误诊和错误分类。
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