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A New Score for Sharp Discharges in the EEG Predicts Epilepsy
A challenge in EEG interpretation is to correctly classify suspicious focal sharp activity as epileptiform or not. A predictive score was developed from morphologic features of the first focal sharp discharge, which can help in this decision. METHODS: From a clinical standard EEG database, the autho...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Journal of Clinical Neurophysiology
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9799053/ https://www.ncbi.nlm.nih.gov/pubmed/33935218 http://dx.doi.org/10.1097/WNP.0000000000000849 |
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author | Aanestad, Eivind Gilhus, Nils E. Brogger, Jan |
author_facet | Aanestad, Eivind Gilhus, Nils E. Brogger, Jan |
author_sort | Aanestad, Eivind |
collection | PubMed |
description | A challenge in EEG interpretation is to correctly classify suspicious focal sharp activity as epileptiform or not. A predictive score was developed from morphologic features of the first focal sharp discharge, which can help in this decision. METHODS: From a clinical standard EEG database, the authors identified 2,063 patients without a previous epilepsy diagnosis who had a focal sharp discharge in their EEG. Morphologic features (amplitude, area of slow wave, etc.) were extracted using an open source one-click algorithm in EEGLAB, masked to clinical classification. A score was developed from these features and validated with the clinical diagnosis of epilepsy over 2 to 6 years of follow-up. Independent external validation was performed in Kural long-term video-EEG monitoring dataset. RESULTS: The score for the first focal sharp discharge had a moderate predictive performance for the clinical designation as the EEG being epileptiform (area under the receiver operating characteristics curve = 0.86). Best specificity was 91% and sensitivity 55%. The score also predicted a future epilepsy diagnosis (area under the receiver operating characteristics curve = 0.70). Best specificity was 86% and sensitivity 38%. Validation on the external dataset had an area under the receiver operating characteristics curve = 0.80. Clinical EEG identification of focal interictal epileptiform discharges had an area under the receiver operating characteristics curve = 0.73 for prediction of epilepsy. The score was based on amplitude, slope, difference from background, slow after-wave area, and age. Interrater reproducibility was high (ICC = 0.91). CONCLUSIONS: The designation of the first focal sharp discharge as epileptiform depends on reproducible morphologic features. Characteristic features were amplitude, slope, slow after-wave area, and difference from background. The score was predictive of future epilepsy. Halford semiquantitative scale had similar diagnostic performance but lower reproducibility. |
format | Online Article Text |
id | pubmed-9799053 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Journal of Clinical Neurophysiology |
record_format | MEDLINE/PubMed |
spelling | pubmed-97990532023-01-04 A New Score for Sharp Discharges in the EEG Predicts Epilepsy Aanestad, Eivind Gilhus, Nils E. Brogger, Jan J Clin Neurophysiol Original Research A challenge in EEG interpretation is to correctly classify suspicious focal sharp activity as epileptiform or not. A predictive score was developed from morphologic features of the first focal sharp discharge, which can help in this decision. METHODS: From a clinical standard EEG database, the authors identified 2,063 patients without a previous epilepsy diagnosis who had a focal sharp discharge in their EEG. Morphologic features (amplitude, area of slow wave, etc.) were extracted using an open source one-click algorithm in EEGLAB, masked to clinical classification. A score was developed from these features and validated with the clinical diagnosis of epilepsy over 2 to 6 years of follow-up. Independent external validation was performed in Kural long-term video-EEG monitoring dataset. RESULTS: The score for the first focal sharp discharge had a moderate predictive performance for the clinical designation as the EEG being epileptiform (area under the receiver operating characteristics curve = 0.86). Best specificity was 91% and sensitivity 55%. The score also predicted a future epilepsy diagnosis (area under the receiver operating characteristics curve = 0.70). Best specificity was 86% and sensitivity 38%. Validation on the external dataset had an area under the receiver operating characteristics curve = 0.80. Clinical EEG identification of focal interictal epileptiform discharges had an area under the receiver operating characteristics curve = 0.73 for prediction of epilepsy. The score was based on amplitude, slope, difference from background, slow after-wave area, and age. Interrater reproducibility was high (ICC = 0.91). CONCLUSIONS: The designation of the first focal sharp discharge as epileptiform depends on reproducible morphologic features. Characteristic features were amplitude, slope, slow after-wave area, and difference from background. The score was predictive of future epilepsy. Halford semiquantitative scale had similar diagnostic performance but lower reproducibility. Journal of Clinical Neurophysiology 2023-01 2021-04-26 /pmc/articles/PMC9799053/ /pubmed/33935218 http://dx.doi.org/10.1097/WNP.0000000000000849 Text en Copyright © 2021 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the American Clinical Neurophysiology Society. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) , where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. |
spellingShingle | Original Research Aanestad, Eivind Gilhus, Nils E. Brogger, Jan A New Score for Sharp Discharges in the EEG Predicts Epilepsy |
title | A New Score for Sharp Discharges in the EEG Predicts Epilepsy |
title_full | A New Score for Sharp Discharges in the EEG Predicts Epilepsy |
title_fullStr | A New Score for Sharp Discharges in the EEG Predicts Epilepsy |
title_full_unstemmed | A New Score for Sharp Discharges in the EEG Predicts Epilepsy |
title_short | A New Score for Sharp Discharges in the EEG Predicts Epilepsy |
title_sort | new score for sharp discharges in the eeg predicts epilepsy |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9799053/ https://www.ncbi.nlm.nih.gov/pubmed/33935218 http://dx.doi.org/10.1097/WNP.0000000000000849 |
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