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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Frontiers Media S.A.
2020-02-01
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Online Access: | https://www.frontiersin.org/article/10.3389/fneur.2020.00074/full |
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doaj-07bad59483c24b60ac034117c628c69e |
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Article |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
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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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 |