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Mechanisms underlying different onset patterns of focal seizures

Focal seizures are episodes of pathological brain activity that appear to arise from a localised area of the brain. The onset patterns of focal seizure activity have been studied intensively, and they have largely been distinguished into two types—low amplitude fast oscillations (LAF), or high ampli...

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Autores principales: Wang, Yujiang, Trevelyan, Andrew J, Valentin, Antonio, Alarcon, Gonzalo, Taylor, Peter N, Kaiser, Marcus
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5417416/
https://www.ncbi.nlm.nih.gov/pubmed/28472032
http://dx.doi.org/10.1371/journal.pcbi.1005475
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author Wang, Yujiang
Trevelyan, Andrew J
Valentin, Antonio
Alarcon, Gonzalo
Taylor, Peter N
Kaiser, Marcus
author_facet Wang, Yujiang
Trevelyan, Andrew J
Valentin, Antonio
Alarcon, Gonzalo
Taylor, Peter N
Kaiser, Marcus
author_sort Wang, Yujiang
collection PubMed
description Focal seizures are episodes of pathological brain activity that appear to arise from a localised area of the brain. The onset patterns of focal seizure activity have been studied intensively, and they have largely been distinguished into two types—low amplitude fast oscillations (LAF), or high amplitude spikes (HAS). Here we explore whether these two patterns arise from fundamentally different mechanisms. Here, we use a previously established computational model of neocortical tissue, and validate it as an adequate model using clinical recordings of focal seizures. We then reproduce the two onset patterns in their most defining properties and investigate the possible mechanisms underlying the different focal seizure onset patterns in the model. We show that the two patterns are associated with different mechanisms at the spatial scale of a single ECoG electrode. The LAF onset is initiated by independent patches of localised activity, which slowly invade the surrounding tissue and coalesce over time. In contrast, the HAS onset is a global, systemic transition to a coexisting seizure state triggered by a local event. We find that such a global transition is enabled by an increase in the excitability of the “healthy” surrounding tissue, which by itself does not generate seizures, but can support seizure activity when incited. In our simulations, the difference in surrounding tissue excitability also offers a simple explanation of the clinically reported difference in surgical outcomes. Finally, we demonstrate in the model how changes in tissue excitability could be elucidated, in principle, using active stimulation. Taken together, our modelling results suggest that the excitability of the tissue surrounding the seizure core may play a determining role in the seizure onset pattern, as well as in the surgical outcome.
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spelling pubmed-54174162017-05-14 Mechanisms underlying different onset patterns of focal seizures Wang, Yujiang Trevelyan, Andrew J Valentin, Antonio Alarcon, Gonzalo Taylor, Peter N Kaiser, Marcus PLoS Comput Biol Research Article Focal seizures are episodes of pathological brain activity that appear to arise from a localised area of the brain. The onset patterns of focal seizure activity have been studied intensively, and they have largely been distinguished into two types—low amplitude fast oscillations (LAF), or high amplitude spikes (HAS). Here we explore whether these two patterns arise from fundamentally different mechanisms. Here, we use a previously established computational model of neocortical tissue, and validate it as an adequate model using clinical recordings of focal seizures. We then reproduce the two onset patterns in their most defining properties and investigate the possible mechanisms underlying the different focal seizure onset patterns in the model. We show that the two patterns are associated with different mechanisms at the spatial scale of a single ECoG electrode. The LAF onset is initiated by independent patches of localised activity, which slowly invade the surrounding tissue and coalesce over time. In contrast, the HAS onset is a global, systemic transition to a coexisting seizure state triggered by a local event. We find that such a global transition is enabled by an increase in the excitability of the “healthy” surrounding tissue, which by itself does not generate seizures, but can support seizure activity when incited. In our simulations, the difference in surrounding tissue excitability also offers a simple explanation of the clinically reported difference in surgical outcomes. Finally, we demonstrate in the model how changes in tissue excitability could be elucidated, in principle, using active stimulation. Taken together, our modelling results suggest that the excitability of the tissue surrounding the seizure core may play a determining role in the seizure onset pattern, as well as in the surgical outcome. Public Library of Science 2017-05-04 /pmc/articles/PMC5417416/ /pubmed/28472032 http://dx.doi.org/10.1371/journal.pcbi.1005475 Text en © 2017 Wang et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Wang, Yujiang
Trevelyan, Andrew J
Valentin, Antonio
Alarcon, Gonzalo
Taylor, Peter N
Kaiser, Marcus
Mechanisms underlying different onset patterns of focal seizures
title Mechanisms underlying different onset patterns of focal seizures
title_full Mechanisms underlying different onset patterns of focal seizures
title_fullStr Mechanisms underlying different onset patterns of focal seizures
title_full_unstemmed Mechanisms underlying different onset patterns of focal seizures
title_short Mechanisms underlying different onset patterns of focal seizures
title_sort mechanisms underlying different onset patterns of focal seizures
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5417416/
https://www.ncbi.nlm.nih.gov/pubmed/28472032
http://dx.doi.org/10.1371/journal.pcbi.1005475
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