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Dynamical mesoscale model of absence seizures in genetic models
A mesoscale network model is proposed for the development of spike and wave discharges (SWDs) in the cortico-thalamo-cortical (C-T-C) circuit. It is based on experimental findings in two genetic models of childhood absence epilepsy–rats of WAG/Rij and GAERS strains. The model is organized hierarchic...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7524004/ https://www.ncbi.nlm.nih.gov/pubmed/32991590 http://dx.doi.org/10.1371/journal.pone.0239125 |
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author | Medvedeva, T. M. Sysoeva, M. V. Lüttjohann, A. van Luijtelaar, G. Sysoev, I. V. |
author_facet | Medvedeva, T. M. Sysoeva, M. V. Lüttjohann, A. van Luijtelaar, G. Sysoev, I. V. |
author_sort | Medvedeva, T. M. |
collection | PubMed |
description | A mesoscale network model is proposed for the development of spike and wave discharges (SWDs) in the cortico-thalamo-cortical (C-T-C) circuit. It is based on experimental findings in two genetic models of childhood absence epilepsy–rats of WAG/Rij and GAERS strains. The model is organized hierarchically into two levels (brain structures and individual neurons) and composed of compartments for representation of somatosensory cortex, reticular and ventroposteriomedial thalamic nuclei. The cortex and the two thalamic compartments contain excitatory and inhibitory connections between four populations of neurons. Two connected subnetworks both including relevant parts of a C-T-C network responsible for SWD generation are modelled: a smaller subnetwork for the focal area in which the SWD generation can take place, and a larger subnetwork for surrounding areas which can be only passively involved into SWDs, but which is mostly responsible for normal brain activity. This assumption allows modeling of both normal and SWD activity as a dynamical system (no noise is necessary), providing reproducibility of results and allowing future analysis by means of theory of dynamical system theories. The model is able to reproduce most time-frequency changes in EEG activity accompanying the transition from normal to epileptiform activity and back. Three different mechanisms of SWD initiation reported previously in experimental studies were successfully reproduced in the model. The model incorporates also a separate mechanism for the maintenance of SWDs based on coupling analysis from experimental data. Finally, the model reproduces the possibility to stop ongoing SWDs with high frequency electrical stimulation, as described in the literature. |
format | Online Article Text |
id | pubmed-7524004 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-75240042020-10-06 Dynamical mesoscale model of absence seizures in genetic models Medvedeva, T. M. Sysoeva, M. V. Lüttjohann, A. van Luijtelaar, G. Sysoev, I. V. PLoS One Research Article A mesoscale network model is proposed for the development of spike and wave discharges (SWDs) in the cortico-thalamo-cortical (C-T-C) circuit. It is based on experimental findings in two genetic models of childhood absence epilepsy–rats of WAG/Rij and GAERS strains. The model is organized hierarchically into two levels (brain structures and individual neurons) and composed of compartments for representation of somatosensory cortex, reticular and ventroposteriomedial thalamic nuclei. The cortex and the two thalamic compartments contain excitatory and inhibitory connections between four populations of neurons. Two connected subnetworks both including relevant parts of a C-T-C network responsible for SWD generation are modelled: a smaller subnetwork for the focal area in which the SWD generation can take place, and a larger subnetwork for surrounding areas which can be only passively involved into SWDs, but which is mostly responsible for normal brain activity. This assumption allows modeling of both normal and SWD activity as a dynamical system (no noise is necessary), providing reproducibility of results and allowing future analysis by means of theory of dynamical system theories. The model is able to reproduce most time-frequency changes in EEG activity accompanying the transition from normal to epileptiform activity and back. Three different mechanisms of SWD initiation reported previously in experimental studies were successfully reproduced in the model. The model incorporates also a separate mechanism for the maintenance of SWDs based on coupling analysis from experimental data. Finally, the model reproduces the possibility to stop ongoing SWDs with high frequency electrical stimulation, as described in the literature. Public Library of Science 2020-09-29 /pmc/articles/PMC7524004/ /pubmed/32991590 http://dx.doi.org/10.1371/journal.pone.0239125 Text en © 2020 Medvedeva 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 Medvedeva, T. M. Sysoeva, M. V. Lüttjohann, A. van Luijtelaar, G. Sysoev, I. V. Dynamical mesoscale model of absence seizures in genetic models |
title | Dynamical mesoscale model of absence seizures in genetic models |
title_full | Dynamical mesoscale model of absence seizures in genetic models |
title_fullStr | Dynamical mesoscale model of absence seizures in genetic models |
title_full_unstemmed | Dynamical mesoscale model of absence seizures in genetic models |
title_short | Dynamical mesoscale model of absence seizures in genetic models |
title_sort | dynamical mesoscale model of absence seizures in genetic models |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7524004/ https://www.ncbi.nlm.nih.gov/pubmed/32991590 http://dx.doi.org/10.1371/journal.pone.0239125 |
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