The Role of Excitability and Network Structure in the Emergence of Focal and Generalized Seizures

Epileptic seizures are generally classified as either focal or generalized. It had been traditionally assumed that focal seizures imply localized brain abnormalities, whereas generalized seizures involve widespread brain pathologies. However, recent evidence suggests that large-scale brain networks...

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Main Authors: Marinho A. Lopes, Leandro Junges, Wessel Woldman, Marc Goodfellow, John R. Terry
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-02-01
Series:Frontiers in Neurology
Subjects:
Online Access:https://www.frontiersin.org/article/10.3389/fneur.2020.00074/full
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author Marinho A. Lopes
Marinho A. Lopes
Marinho A. Lopes
Marinho A. Lopes
Marinho A. Lopes
Leandro Junges
Leandro Junges
Leandro Junges
Leandro Junges
Leandro Junges
Wessel Woldman
Wessel Woldman
Wessel Woldman
Wessel Woldman
Wessel Woldman
Marc Goodfellow
Marc Goodfellow
Marc Goodfellow
John R. Terry
John R. Terry
John R. Terry
John R. Terry
John R. Terry
spellingShingle Marinho A. Lopes
Marinho A. Lopes
Marinho A. Lopes
Marinho A. Lopes
Marinho A. Lopes
Leandro Junges
Leandro Junges
Leandro Junges
Leandro Junges
Leandro Junges
Wessel Woldman
Wessel Woldman
Wessel Woldman
Wessel Woldman
Wessel Woldman
Marc Goodfellow
Marc Goodfellow
Marc Goodfellow
John R. Terry
John R. Terry
John R. Terry
John R. Terry
John R. Terry
The Role of Excitability and Network Structure in the Emergence of Focal and Generalized Seizures
Frontiers in Neurology
focal seizures
generalized seizures
neural mass model
ictogenic network
network structure
excitability
author_facet Marinho A. Lopes
Marinho A. Lopes
Marinho A. Lopes
Marinho A. Lopes
Marinho A. Lopes
Leandro Junges
Leandro Junges
Leandro Junges
Leandro Junges
Leandro Junges
Wessel Woldman
Wessel Woldman
Wessel Woldman
Wessel Woldman
Wessel Woldman
Marc Goodfellow
Marc Goodfellow
Marc Goodfellow
John R. Terry
John R. Terry
John R. Terry
John R. Terry
John R. Terry
author_sort Marinho A. Lopes
title The Role of Excitability and Network Structure in the Emergence of Focal and Generalized Seizures
title_short The Role of Excitability and Network Structure in the Emergence of Focal and Generalized Seizures
title_full The Role of Excitability and Network Structure in the Emergence of Focal and Generalized Seizures
title_fullStr The Role of Excitability and Network Structure in the Emergence of Focal and Generalized Seizures
title_full_unstemmed The Role of Excitability and Network Structure in the Emergence of Focal and Generalized Seizures
title_sort role of excitability and network structure in the emergence of focal and generalized seizures
publisher Frontiers Media S.A.
series Frontiers in Neurology
issn 1664-2295
publishDate 2020-02-01
description Epileptic seizures are generally classified as either focal or generalized. It had been traditionally assumed that focal seizures imply localized brain abnormalities, whereas generalized seizures involve widespread brain pathologies. However, recent evidence suggests that large-scale brain networks are involved in the generation of focal seizures, and generalized seizures can originate in localized brain regions. Herein we study how network structure and tissue heterogeneities underpin the emergence of focal and widespread seizure dynamics. Mathematical modeling of seizure emergence in brain networks enables the clarification of the characteristics responsible for focal and generalized seizures. We consider neural mass network dynamics of seizure generation in exemplar synthetic networks and we measure the variance in ictogenicity across the network. Ictogenicity is defined as the involvement of network nodes in seizure activity, and its variance is used to quantify whether seizure patterns are focal or widespread across the network. We address both the influence of network structure and different excitability distributions across the network on the ictogenic variance. We find that this variance depends on both network structure and excitability distribution. High variance, i.e., localized seizure activity, is observed in networks highly heterogeneous with regard to the distribution of connections or excitabilities. However, networks that are both heterogeneous in their structure and excitability can underlie the emergence of generalized seizures, depending on the interplay between structure and excitability. Thus, our results imply that the emergence of focal and generalized seizures is underpinned by an interplay between network structure and excitability distribution.
topic focal seizures
generalized seizures
neural mass model
ictogenic network
network structure
excitability
url https://www.frontiersin.org/article/10.3389/fneur.2020.00074/full
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spelling doaj-07bad59483c24b60ac034117c628c69e2020-11-25T03:15:07ZengFrontiers Media S.A.Frontiers in Neurology1664-22952020-02-011110.3389/fneur.2020.00074458471The Role of Excitability and Network Structure in the Emergence of Focal and Generalized SeizuresMarinho A. Lopes0Marinho A. Lopes1Marinho A. Lopes2Marinho A. Lopes3Marinho A. Lopes4Leandro Junges5Leandro Junges6Leandro Junges7Leandro Junges8Leandro Junges9Wessel Woldman10Wessel Woldman11Wessel Woldman12Wessel Woldman13Wessel Woldman14Marc Goodfellow15Marc Goodfellow16Marc Goodfellow17John R. Terry18John R. Terry19John R. Terry20John R. Terry21John R. Terry22Living Systems Institute, University of Exeter, Exeter, United KingdomWellcome Trust Centre for Biomedical Modelling and Analysis, University of Exeter, Exeter, United KingdomEPSRC Centre for Predictive Modelling in Healthcare, University of Exeter, Exeter, United KingdomDepartment of Engineering Mathematics, University of Bristol, Bristol, United KingdomCardiff University Brain Research Imaging Centre, School of Psychology, Cardiff University, Cardiff, United KingdomLiving Systems Institute, University of Exeter, Exeter, United KingdomWellcome Trust Centre for Biomedical Modelling and Analysis, University of Exeter, Exeter, United KingdomEPSRC Centre for Predictive Modelling in Healthcare, University of Exeter, Exeter, United KingdomCentre for Systems Modelling and Quantitative Biomedicine, University of Birmingham, Birmingham, United KingdomInstitute for Metabolism and Systems Research, University of Birmingham, Birmingham, United KingdomLiving Systems Institute, University of Exeter, Exeter, United KingdomWellcome Trust Centre for Biomedical Modelling and Analysis, University of Exeter, Exeter, United KingdomEPSRC Centre for Predictive Modelling in Healthcare, University of Exeter, Exeter, United KingdomCentre for Systems Modelling and Quantitative Biomedicine, University of Birmingham, Birmingham, United KingdomInstitute for Metabolism and Systems Research, University of Birmingham, Birmingham, United KingdomLiving Systems Institute, University of Exeter, Exeter, United KingdomWellcome Trust Centre for Biomedical Modelling and Analysis, University of Exeter, Exeter, United KingdomEPSRC Centre for Predictive Modelling in Healthcare, University of Exeter, Exeter, United KingdomLiving Systems Institute, University of Exeter, Exeter, United KingdomWellcome Trust Centre for Biomedical Modelling and Analysis, University of Exeter, Exeter, United KingdomEPSRC Centre for Predictive Modelling in Healthcare, University of Exeter, Exeter, United KingdomCentre for Systems Modelling and Quantitative Biomedicine, University of Birmingham, Birmingham, United KingdomInstitute for Metabolism and Systems Research, University of Birmingham, Birmingham, United KingdomEpileptic seizures are generally classified as either focal or generalized. It had been traditionally assumed that focal seizures imply localized brain abnormalities, whereas generalized seizures involve widespread brain pathologies. However, recent evidence suggests that large-scale brain networks are involved in the generation of focal seizures, and generalized seizures can originate in localized brain regions. Herein we study how network structure and tissue heterogeneities underpin the emergence of focal and widespread seizure dynamics. Mathematical modeling of seizure emergence in brain networks enables the clarification of the characteristics responsible for focal and generalized seizures. We consider neural mass network dynamics of seizure generation in exemplar synthetic networks and we measure the variance in ictogenicity across the network. Ictogenicity is defined as the involvement of network nodes in seizure activity, and its variance is used to quantify whether seizure patterns are focal or widespread across the network. We address both the influence of network structure and different excitability distributions across the network on the ictogenic variance. We find that this variance depends on both network structure and excitability distribution. High variance, i.e., localized seizure activity, is observed in networks highly heterogeneous with regard to the distribution of connections or excitabilities. However, networks that are both heterogeneous in their structure and excitability can underlie the emergence of generalized seizures, depending on the interplay between structure and excitability. Thus, our results imply that the emergence of focal and generalized seizures is underpinned by an interplay between network structure and excitability distribution.https://www.frontiersin.org/article/10.3389/fneur.2020.00074/fullfocal seizuresgeneralized seizuresneural mass modelictogenic networknetwork structureexcitability