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Effects of physiological parameter evolution on the dynamics of tonic-clonic seizures

The temporal and spectral characteristics of tonic-clonic seizures are investigated using a neural field model of the corticothalamic system in the presence of a temporally varying connection strength between the cerebral cortex and thalamus. Increasing connection strength drives the system into ∼ 1...

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Detalles Bibliográficos
Autores principales: Deeba, F., Sanz-Leon, P., Robinson, P. A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7117716/
https://www.ncbi.nlm.nih.gov/pubmed/32240175
http://dx.doi.org/10.1371/journal.pone.0230510
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author Deeba, F.
Sanz-Leon, P.
Robinson, P. A.
author_facet Deeba, F.
Sanz-Leon, P.
Robinson, P. A.
author_sort Deeba, F.
collection PubMed
description The temporal and spectral characteristics of tonic-clonic seizures are investigated using a neural field model of the corticothalamic system in the presence of a temporally varying connection strength between the cerebral cortex and thalamus. Increasing connection strength drives the system into ∼ 10 Hz seizure oscillations once a threshold is passed and a subcritical Hopf bifurcation occurs. In this study, the spectral and temporal characteristics of tonic-clonic seizures are explored as functions of the relevant properties of physiological connection strengths, such as maximum strength, time above threshold, and the ramp rate at which the strength increases or decreases. Analysis shows that the seizure onset time decreases with the maximum connection strength and time above threshold, but increases with the ramp rate. Seizure duration and offset time increase with maximum connection strength, time above threshold, and rate of change. Spectral analysis reveals that the power of nonlinear harmonics and the duration of the oscillations increase as the maximum connection strength and the time above threshold increase. A secondary limit cycle at ∼ 18 Hz, termed a saddle-cycle, is also seen during seizure onset and becomes more prominent and robust with increasing ramp rate. If the time above the threshold is too small, the system does not reach the 10 Hz limit cycle, and only exhibits 18 Hz saddle-cycle oscillations. It is also seen that the time to reach the saturated large amplitude limit-cycle seizure oscillation from both the instability threshold and from the end of the saddle-cycle oscillations is inversely proportional to the square root of the ramp rate.
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spelling pubmed-71177162020-04-09 Effects of physiological parameter evolution on the dynamics of tonic-clonic seizures Deeba, F. Sanz-Leon, P. Robinson, P. A. PLoS One Research Article The temporal and spectral characteristics of tonic-clonic seizures are investigated using a neural field model of the corticothalamic system in the presence of a temporally varying connection strength between the cerebral cortex and thalamus. Increasing connection strength drives the system into ∼ 10 Hz seizure oscillations once a threshold is passed and a subcritical Hopf bifurcation occurs. In this study, the spectral and temporal characteristics of tonic-clonic seizures are explored as functions of the relevant properties of physiological connection strengths, such as maximum strength, time above threshold, and the ramp rate at which the strength increases or decreases. Analysis shows that the seizure onset time decreases with the maximum connection strength and time above threshold, but increases with the ramp rate. Seizure duration and offset time increase with maximum connection strength, time above threshold, and rate of change. Spectral analysis reveals that the power of nonlinear harmonics and the duration of the oscillations increase as the maximum connection strength and the time above threshold increase. A secondary limit cycle at ∼ 18 Hz, termed a saddle-cycle, is also seen during seizure onset and becomes more prominent and robust with increasing ramp rate. If the time above the threshold is too small, the system does not reach the 10 Hz limit cycle, and only exhibits 18 Hz saddle-cycle oscillations. It is also seen that the time to reach the saturated large amplitude limit-cycle seizure oscillation from both the instability threshold and from the end of the saddle-cycle oscillations is inversely proportional to the square root of the ramp rate. Public Library of Science 2020-04-02 /pmc/articles/PMC7117716/ /pubmed/32240175 http://dx.doi.org/10.1371/journal.pone.0230510 Text en © 2020 Deeba 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
Deeba, F.
Sanz-Leon, P.
Robinson, P. A.
Effects of physiological parameter evolution on the dynamics of tonic-clonic seizures
title Effects of physiological parameter evolution on the dynamics of tonic-clonic seizures
title_full Effects of physiological parameter evolution on the dynamics of tonic-clonic seizures
title_fullStr Effects of physiological parameter evolution on the dynamics of tonic-clonic seizures
title_full_unstemmed Effects of physiological parameter evolution on the dynamics of tonic-clonic seizures
title_short Effects of physiological parameter evolution on the dynamics of tonic-clonic seizures
title_sort effects of physiological parameter evolution on the dynamics of tonic-clonic seizures
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7117716/
https://www.ncbi.nlm.nih.gov/pubmed/32240175
http://dx.doi.org/10.1371/journal.pone.0230510
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