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Visualization of ictal networks using gamma oscillation regularity correlation analysis in focal motor epilepsy: Illustrative cases
BACKGROUND: Focal motor epilepsy is difficult to localize within the epileptogenic zone because ictal activity quickly spreads to the motor cortex through ictal networks. We previously reported the usefulness of gamma oscillation (30–70 Hz) regularity (GOR) correlation analysis using interictal elec...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Scientific Scholar
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8986657/ https://www.ncbi.nlm.nih.gov/pubmed/35399885 http://dx.doi.org/10.25259/SNI_193_2022 |
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author | Nakamura, Tomonobu Sato, Yosuke Kobayashi, Yusuke Kawauchi, Yuta Shimizu, Katsuyoshi Mizutani, Tohru |
author_facet | Nakamura, Tomonobu Sato, Yosuke Kobayashi, Yusuke Kawauchi, Yuta Shimizu, Katsuyoshi Mizutani, Tohru |
author_sort | Nakamura, Tomonobu |
collection | PubMed |
description | BACKGROUND: Focal motor epilepsy is difficult to localize within the epileptogenic zone because ictal activity quickly spreads to the motor cortex through ictal networks. We previously reported the usefulness of gamma oscillation (30–70 Hz) regularity (GOR) correlation analysis using interictal electrocorticographic (ECoG) data to depict epileptogenic networks. We conducted GOR correlation analysis using ictal ECoG data to visualize the ictal networks originating from the epileptogenic zone in two cases — a 26-year-old woman with negative motor seizures and a 53-year-old man with supplementary motor area (SMA) seizures. CASE DESCRIPTION: In both cases, we captured several habitual seizures during monitoring after subdural electrode implantation and performed GOR correlation analysis using ictal ECoG data. A significantly high GOR suggestive of epileptogenicity was identified in the SMA ipsilateral to the lesions, which were connected to the motor cortex through supposed ictal networks. We resected the high GOR locations in the SMA and the patients’ previously identified tumors were removed. The patients were seizure-free without any neurological deficits after surgery. CONCLUSION: The GOR correlation analysis using ictal ECoG data could be a powerful tool for visualizing ictal networks in focal motor epilepsy. |
format | Online Article Text |
id | pubmed-8986657 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Scientific Scholar |
record_format | MEDLINE/PubMed |
spelling | pubmed-89866572022-04-07 Visualization of ictal networks using gamma oscillation regularity correlation analysis in focal motor epilepsy: Illustrative cases Nakamura, Tomonobu Sato, Yosuke Kobayashi, Yusuke Kawauchi, Yuta Shimizu, Katsuyoshi Mizutani, Tohru Surg Neurol Int Case Report BACKGROUND: Focal motor epilepsy is difficult to localize within the epileptogenic zone because ictal activity quickly spreads to the motor cortex through ictal networks. We previously reported the usefulness of gamma oscillation (30–70 Hz) regularity (GOR) correlation analysis using interictal electrocorticographic (ECoG) data to depict epileptogenic networks. We conducted GOR correlation analysis using ictal ECoG data to visualize the ictal networks originating from the epileptogenic zone in two cases — a 26-year-old woman with negative motor seizures and a 53-year-old man with supplementary motor area (SMA) seizures. CASE DESCRIPTION: In both cases, we captured several habitual seizures during monitoring after subdural electrode implantation and performed GOR correlation analysis using ictal ECoG data. A significantly high GOR suggestive of epileptogenicity was identified in the SMA ipsilateral to the lesions, which were connected to the motor cortex through supposed ictal networks. We resected the high GOR locations in the SMA and the patients’ previously identified tumors were removed. The patients were seizure-free without any neurological deficits after surgery. CONCLUSION: The GOR correlation analysis using ictal ECoG data could be a powerful tool for visualizing ictal networks in focal motor epilepsy. Scientific Scholar 2022-03-25 /pmc/articles/PMC8986657/ /pubmed/35399885 http://dx.doi.org/10.25259/SNI_193_2022 Text en Copyright: © 2022 Surgical Neurology International https://creativecommons.org/licenses/by-nc-sa/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-Share Alike 4.0 License, which allows others to remix, transform, and build upon the work non-commercially, as long as the author is credited and the new creations are licensed under the identical terms. |
spellingShingle | Case Report Nakamura, Tomonobu Sato, Yosuke Kobayashi, Yusuke Kawauchi, Yuta Shimizu, Katsuyoshi Mizutani, Tohru Visualization of ictal networks using gamma oscillation regularity correlation analysis in focal motor epilepsy: Illustrative cases |
title | Visualization of ictal networks using gamma oscillation regularity correlation analysis in focal motor epilepsy: Illustrative cases |
title_full | Visualization of ictal networks using gamma oscillation regularity correlation analysis in focal motor epilepsy: Illustrative cases |
title_fullStr | Visualization of ictal networks using gamma oscillation regularity correlation analysis in focal motor epilepsy: Illustrative cases |
title_full_unstemmed | Visualization of ictal networks using gamma oscillation regularity correlation analysis in focal motor epilepsy: Illustrative cases |
title_short | Visualization of ictal networks using gamma oscillation regularity correlation analysis in focal motor epilepsy: Illustrative cases |
title_sort | visualization of ictal networks using gamma oscillation regularity correlation analysis in focal motor epilepsy: illustrative cases |
topic | Case Report |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8986657/ https://www.ncbi.nlm.nih.gov/pubmed/35399885 http://dx.doi.org/10.25259/SNI_193_2022 |
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