EEG normal variants: A prospective study using the SCORE system

IF 2 Q3 NEUROSCIENCES

Clinical Neurophysiology Practice Pub Date : 2022-01-01 DOI:10.1016/j.cnp.2022.06.001

Stephan Wüstenhagen , Daniella Terney , Elena Gardella , Pirgit Meritam Larsen , Connie Rømer , Harald Aurlien , Sándor Beniczky

{"title":"EEG normal variants: A prospective study using the SCORE system","authors":"Stephan Wüstenhagen , Daniella Terney , Elena Gardella , Pirgit Meritam Larsen , Connie Rømer , Harald Aurlien , Sándor Beniczky","doi":"10.1016/j.cnp.2022.06.001","DOIUrl":null,"url":null,"abstract":"<div><h3>Objective</h3><p>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.</p></div><div><h3>Methods</h3><p>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).</p></div><div><h3>Results</h3><p>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%.</p></div><div><h3>Conclusions</h3><p>The most prevalent normal variants are the sharp transients, which must not be over-read as epileptiform discharges.</p></div><div><h3>Significance</h3><p>EEG readers must be familiar with the normal variants to avoid misdiagnosis and misclassification of patients referred to clinical EEG recordings.</p></div>","PeriodicalId":45697,"journal":{"name":"Clinical Neurophysiology Practice","volume":"7 ","pages":"Pages 183-200"},"PeriodicalIF":2.0000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/8c/44/main.PMC9294211.pdf","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical Neurophysiology Practice","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2467981X22000257","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"NEUROSCIENCES","Score":null,"Total":0}

引用次数: 6

Abstract

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.

Abstract Image

查看原文本刊更多论文

EEG正常变异:一项使用SCORE系统的前瞻性研究

目的了解脑电图记录中正常变异的发生率和特征，为读者提供所有正常变异的典型例子，以供教育之用。方法采用SCORE脑电图系统(标准化计算机组织报告脑电图)前瞻性提取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名患者的3050份记录(平均年龄38.5 岁;范围:1 - 89 年)。结果正常变异的分布为:尖锐瞬态19.21%(含小柱峰)，嗜睡时的节奏性颞波6.03%，老年时的时间慢化2.89%，慢融合瞬态2.59%，14和6 hz爆发1.83%，破裂节奏1.25%，小尖锐峰1.05%，6 hz峰值和慢波0.69%，SREDA 0.03%。结论最常见的正常变异体是突发性瞬间放电，不应被过度解读为癫痫样放电。意义脑电图阅读者必须熟悉正常变异，以避免误诊和误分类患者参考临床脑电图记录。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Clinical Neurophysiology Practice NEUROSCIENCES-

CiteScore

3.90

自引率

0.00%

发文量

审稿时长

71 days

期刊介绍： Clinical Neurophysiology Practice (CNP) is a new Open Access journal that focuses on clinical practice issues in clinical neurophysiology including relevant new research, case reports or clinical series, normal values and didactic reviews. It is an official journal of the International Federation of Clinical Neurophysiology and complements Clinical Neurophysiology which focuses on innovative research in the specialty. It has a role in supporting established clinical practice, and an educational role for trainees, technicians and practitioners.