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Graph theoretical analysis of evoked potentials shows network influence of epileptogenic mesial temporal region

It is now widely accepted that seizures arise from the coordinated activity of epileptic networks, and as a result, traditional methods of analyzing seizures have been augmented by techniques like single‐pulse electrical stimulation (SPES) that estimate effective connectivity in brain networks. We u...

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Autores principales: Hays, Mark A., Coogan, Christopher, Crone, Nathan E., Kang, Joon Y.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8356982/
https://www.ncbi.nlm.nih.gov/pubmed/34165233
http://dx.doi.org/10.1002/hbm.25418
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author Hays, Mark A.
Coogan, Christopher
Crone, Nathan E.
Kang, Joon Y.
author_facet Hays, Mark A.
Coogan, Christopher
Crone, Nathan E.
Kang, Joon Y.
author_sort Hays, Mark A.
collection PubMed
description It is now widely accepted that seizures arise from the coordinated activity of epileptic networks, and as a result, traditional methods of analyzing seizures have been augmented by techniques like single‐pulse electrical stimulation (SPES) that estimate effective connectivity in brain networks. We used SPES and graph analytics in 18 patients undergoing intracranial EEG monitoring to investigate effective connectivity between recording sites within and outside mesial temporal structures. We compared evoked potential amplitude, network density, and centrality measures inside and outside the mesial temporal region (MTR) across three patient groups: focal epileptogenic MTR, multifocal epileptogenic MTR, and non‐epileptogenic MTR. Effective connectivity within the MTR had significantly greater magnitude (evoked potential amplitude) and network density, regardless of epileptogenicity. However, effective connectivity between MTR and surrounding non‐epileptogenic regions was of greater magnitude and density in patients with focal epileptogenic MTR compared to patients with multifocal epileptogenic MTR and those with non‐epileptogenic MTR. Moreover, electrodes within focal epileptogenic MTR had significantly greater outward network centrality compared to electrodes outside non‐epileptogenic regions and to multifocal and non‐epileptogenic MTR. Our results indicate that the MTR is a robustly connected subnetwork that can exert an overall elevated propagative influence over other brain regions when it is epileptogenic. Understanding the underlying effective connectivity and roles of epileptogenic regions within the larger network may provide insights that eventually lead to improved surgical outcomes.
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spelling pubmed-83569822021-08-15 Graph theoretical analysis of evoked potentials shows network influence of epileptogenic mesial temporal region Hays, Mark A. Coogan, Christopher Crone, Nathan E. Kang, Joon Y. Hum Brain Mapp Research Articles It is now widely accepted that seizures arise from the coordinated activity of epileptic networks, and as a result, traditional methods of analyzing seizures have been augmented by techniques like single‐pulse electrical stimulation (SPES) that estimate effective connectivity in brain networks. We used SPES and graph analytics in 18 patients undergoing intracranial EEG monitoring to investigate effective connectivity between recording sites within and outside mesial temporal structures. We compared evoked potential amplitude, network density, and centrality measures inside and outside the mesial temporal region (MTR) across three patient groups: focal epileptogenic MTR, multifocal epileptogenic MTR, and non‐epileptogenic MTR. Effective connectivity within the MTR had significantly greater magnitude (evoked potential amplitude) and network density, regardless of epileptogenicity. However, effective connectivity between MTR and surrounding non‐epileptogenic regions was of greater magnitude and density in patients with focal epileptogenic MTR compared to patients with multifocal epileptogenic MTR and those with non‐epileptogenic MTR. Moreover, electrodes within focal epileptogenic MTR had significantly greater outward network centrality compared to electrodes outside non‐epileptogenic regions and to multifocal and non‐epileptogenic MTR. Our results indicate that the MTR is a robustly connected subnetwork that can exert an overall elevated propagative influence over other brain regions when it is epileptogenic. Understanding the underlying effective connectivity and roles of epileptogenic regions within the larger network may provide insights that eventually lead to improved surgical outcomes. John Wiley & Sons, Inc. 2021-06-24 /pmc/articles/PMC8356982/ /pubmed/34165233 http://dx.doi.org/10.1002/hbm.25418 Text en © 2021 The Authors. Human Brain Mapping published by Wiley Periodicals LLC. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Hays, Mark A.
Coogan, Christopher
Crone, Nathan E.
Kang, Joon Y.
Graph theoretical analysis of evoked potentials shows network influence of epileptogenic mesial temporal region
title Graph theoretical analysis of evoked potentials shows network influence of epileptogenic mesial temporal region
title_full Graph theoretical analysis of evoked potentials shows network influence of epileptogenic mesial temporal region
title_fullStr Graph theoretical analysis of evoked potentials shows network influence of epileptogenic mesial temporal region
title_full_unstemmed Graph theoretical analysis of evoked potentials shows network influence of epileptogenic mesial temporal region
title_short Graph theoretical analysis of evoked potentials shows network influence of epileptogenic mesial temporal region
title_sort graph theoretical analysis of evoked potentials shows network influence of epileptogenic mesial temporal region
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8356982/
https://www.ncbi.nlm.nih.gov/pubmed/34165233
http://dx.doi.org/10.1002/hbm.25418
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