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EEG normal variants: A prospective study using the SCORE system
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),...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9294211/ https://www.ncbi.nlm.nih.gov/pubmed/35865124 http://dx.doi.org/10.1016/j.cnp.2022.06.001 |
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author | Wüstenhagen, Stephan Terney, Daniella Gardella, Elena Meritam Larsen, Pirgit Rømer, Connie Aurlien, Harald Beniczky, Sándor |
author_facet | Wüstenhagen, Stephan Terney, Daniella Gardella, Elena Meritam Larsen, Pirgit Rømer, Connie Aurlien, Harald Beniczky, Sándor |
author_sort | Wüstenhagen, Stephan |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9294211 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-92942112022-07-20 EEG normal variants: A prospective study using the SCORE system Wüstenhagen, Stephan Terney, Daniella Gardella, Elena Meritam Larsen, Pirgit Rømer, Connie Aurlien, Harald Beniczky, Sándor Clin Neurophysiol Pract Research Paper 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. Elsevier 2022-06-30 /pmc/articles/PMC9294211/ /pubmed/35865124 http://dx.doi.org/10.1016/j.cnp.2022.06.001 Text en © 2022 International Federation of Clinical Neurophysiology. Published by Elsevier B.V. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Research Paper Wüstenhagen, Stephan Terney, Daniella Gardella, Elena Meritam Larsen, Pirgit Rømer, Connie Aurlien, Harald Beniczky, Sándor EEG normal variants: A prospective study using the SCORE system |
title | EEG normal variants: A prospective study using the SCORE system |
title_full | EEG normal variants: A prospective study using the SCORE system |
title_fullStr | EEG normal variants: A prospective study using the SCORE system |
title_full_unstemmed | EEG normal variants: A prospective study using the SCORE system |
title_short | EEG normal variants: A prospective study using the SCORE system |
title_sort | eeg normal variants: a prospective study using the score system |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9294211/ https://www.ncbi.nlm.nih.gov/pubmed/35865124 http://dx.doi.org/10.1016/j.cnp.2022.06.001 |
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