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Visual analysis of high density EEG: As good as electrical source imaging?

OBJECTIVE: In this study, we sought to determine whether visual analysis of high density EEG (HD-EEG) would provide similar localizing information comparable to electrical source imaging (ESI). METHODS: HD-EEG (256 electrodes) recordings from 20 patients suffering from unifocal, drug-resistant epile...

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Autores principales: Toscano, Gianpaolo, Carboni, Margherita, Rubega, Maria, Spinelli, Laurent, Pittau, Francesca, Bartoli, Andrea, Momjian, Shahan, Manni, Raffaele, Terzaghi, Michele, Vulliemoz, Serge, Seeck, Margitta
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6939057/
https://www.ncbi.nlm.nih.gov/pubmed/31909306
http://dx.doi.org/10.1016/j.cnp.2019.09.002
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author Toscano, Gianpaolo
Carboni, Margherita
Rubega, Maria
Spinelli, Laurent
Pittau, Francesca
Bartoli, Andrea
Momjian, Shahan
Manni, Raffaele
Terzaghi, Michele
Vulliemoz, Serge
Seeck, Margitta
author_facet Toscano, Gianpaolo
Carboni, Margherita
Rubega, Maria
Spinelli, Laurent
Pittau, Francesca
Bartoli, Andrea
Momjian, Shahan
Manni, Raffaele
Terzaghi, Michele
Vulliemoz, Serge
Seeck, Margitta
author_sort Toscano, Gianpaolo
collection PubMed
description OBJECTIVE: In this study, we sought to determine whether visual analysis of high density EEG (HD-EEG) would provide similar localizing information comparable to electrical source imaging (ESI). METHODS: HD-EEG (256 electrodes) recordings from 20 patients suffering from unifocal, drug-resistant epilepsy (13 women, mean age 29.1 ± 2.62 years, 11 with temporal lobe epilepsy) were examined. In the visual analysis condition, we identified the 5 contacts with maximal spike amplitude and determined their localization with respect to the underlying cortex. ESI was computed using the LAURA algorithm of the averaged spikes in the patient’s individual MRI. We considered the localization “correct” if all 5 contacts were concordant with the resection volume underneath or if ESI was located within the resection as determined by the postoperative MRI. RESULTS: Twelve patients were postoperatively seizure-free (Engel Class IA), while the remaining eight were in class IB to IV. Visual analysis and ESI showed sensitivity of 58% and 75%, specificity of 75% and 87%, and accuracy of 65% and 80%, respectively. In 70% of cases, visual analysis and ESI provided concordant results. CONCLUSIONS: Localization of the electrodes with maximal spike amplitude provides very good estimation of the localization of the underlying source. However, ESI has a higher accuracy and adds 3D information; therefore, it should remain the tool of choice for presurgical evaluation. SIGNIFICANCE: The present study proposes the possibility to analyze HD-EEG visually, in tandem with ESI or alone, if ESI is not accessible.
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spelling pubmed-69390572020-01-06 Visual analysis of high density EEG: As good as electrical source imaging? Toscano, Gianpaolo Carboni, Margherita Rubega, Maria Spinelli, Laurent Pittau, Francesca Bartoli, Andrea Momjian, Shahan Manni, Raffaele Terzaghi, Michele Vulliemoz, Serge Seeck, Margitta Clin Neurophysiol Pract Clinical and Research Article OBJECTIVE: In this study, we sought to determine whether visual analysis of high density EEG (HD-EEG) would provide similar localizing information comparable to electrical source imaging (ESI). METHODS: HD-EEG (256 electrodes) recordings from 20 patients suffering from unifocal, drug-resistant epilepsy (13 women, mean age 29.1 ± 2.62 years, 11 with temporal lobe epilepsy) were examined. In the visual analysis condition, we identified the 5 contacts with maximal spike amplitude and determined their localization with respect to the underlying cortex. ESI was computed using the LAURA algorithm of the averaged spikes in the patient’s individual MRI. We considered the localization “correct” if all 5 contacts were concordant with the resection volume underneath or if ESI was located within the resection as determined by the postoperative MRI. RESULTS: Twelve patients were postoperatively seizure-free (Engel Class IA), while the remaining eight were in class IB to IV. Visual analysis and ESI showed sensitivity of 58% and 75%, specificity of 75% and 87%, and accuracy of 65% and 80%, respectively. In 70% of cases, visual analysis and ESI provided concordant results. CONCLUSIONS: Localization of the electrodes with maximal spike amplitude provides very good estimation of the localization of the underlying source. However, ESI has a higher accuracy and adds 3D information; therefore, it should remain the tool of choice for presurgical evaluation. SIGNIFICANCE: The present study proposes the possibility to analyze HD-EEG visually, in tandem with ESI or alone, if ESI is not accessible. Elsevier 2019-11-30 /pmc/articles/PMC6939057/ /pubmed/31909306 http://dx.doi.org/10.1016/j.cnp.2019.09.002 Text en © 2019 International Federation of Clinical Neurophysiology. Published by Elsevier B.V. http://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 Clinical and Research Article
Toscano, Gianpaolo
Carboni, Margherita
Rubega, Maria
Spinelli, Laurent
Pittau, Francesca
Bartoli, Andrea
Momjian, Shahan
Manni, Raffaele
Terzaghi, Michele
Vulliemoz, Serge
Seeck, Margitta
Visual analysis of high density EEG: As good as electrical source imaging?
title Visual analysis of high density EEG: As good as electrical source imaging?
title_full Visual analysis of high density EEG: As good as electrical source imaging?
title_fullStr Visual analysis of high density EEG: As good as electrical source imaging?
title_full_unstemmed Visual analysis of high density EEG: As good as electrical source imaging?
title_short Visual analysis of high density EEG: As good as electrical source imaging?
title_sort visual analysis of high density eeg: as good as electrical source imaging?
topic Clinical and Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6939057/
https://www.ncbi.nlm.nih.gov/pubmed/31909306
http://dx.doi.org/10.1016/j.cnp.2019.09.002
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