» Articles » PMID: 32066612

The Epileptor Model: A Systematic Mathematical Analysis Linked to the Dynamics of Seizures, Refractory Status Epilepticus, and Depolarization Block

Overview
Journal eNeuro
Specialty Neurology
Date 2020 Feb 19
PMID 32066612
Citations 25
Authors
Affiliations
Soon will be listed here.
Abstract

One characteristic of epilepsy is the variety of mechanisms leading to the epileptic state, which are still largely unknown. Refractory status epilepticus (RSE) and depolarization block (DB) are other pathological brain activities linked to epilepsy, whose patterns are different and whose mechanisms remain poorly understood. In epileptogenic network modeling, the Epileptor is a generic phenomenological model that has been recently developed to describe the dynamics of seizures. Here, we performed a detailed qualitative analysis of the Epileptor model based on dynamical systems theory and bifurcation analysis, and investigate the dynamic evolution of "normal" activity toward seizures and to the pathological RSE and DB states. The mechanisms of the transition between states are called bifurcations. Our detailed analysis demonstrates that the generic model undergoes different bifurcation types at seizure offset, when varying some selected parameters. We show that the pathological and normal activities can coexist within the same model under some conditions, and demonstrate that there are many pathways leading to and away from these activities. We here archive systematically all behaviors and dynamic regimes of the Epileptor model to serve as a resource in the development of patient-specific brain network models, and more generally in epilepsy research.

Citing Articles

Controllability of nonlinear epileptic-seizure spreading dynamics in large-scale subject-specific brain networks.

Moosavi S, Feldman J, Truccolo W Sci Rep. 2025; 15(1):6467.

PMID: 39987218 PMC: 11846898. DOI: 10.1038/s41598-025-90632-w.


Parameter estimation in a whole-brain network model of epilepsy: Comparison of parallel global optimization solvers.

Penas D, Hashemi M, Jirsa V, Banga J PLoS Comput Biol. 2024; 20(7):e1011642.

PMID: 38990984 PMC: 11265693. DOI: 10.1371/journal.pcbi.1011642.


Recent Progress in Brain Network Models for Medical Applications: A Review.

Ye C, Zhang Y, Ran C, Ma T Health Data Sci. 2024; 4:0157.

PMID: 38979037 PMC: 11227951. DOI: 10.34133/hds.0157.


A perturbative approach to study information communication in brain networks.

Madan Mohan V, Banerjee A Netw Neurosci. 2024; 6(4):1275-1295.

PMID: 38800461 PMC: 11117119. DOI: 10.1162/netn_a_00260.


An exploratory computational analysis in mice brain networks of widespread epileptic seizure onset locations along with potential strategies for effective intervention and propagation control.

Courson J, Quoy M, Timofeeva Y, Manos T Front Comput Neurosci. 2024; 18:1360009.

PMID: 38468870 PMC: 10925689. DOI: 10.3389/fncom.2024.1360009.


References
1.
Cressman Jr J, Ullah G, Ziburkus J, Schiff S, Barreto E . The influence of sodium and potassium dynamics on excitability, seizures, and the stability of persistent states: I. Single neuron dynamics. J Comput Neurosci. 2009; 26(2):159-70. PMC: 2704057. DOI: 10.1007/s10827-008-0132-4. View

2.
Traub R, Whittington M, Buhl E, LeBeau F, Bibbig A, Boyd S . A possible role for gap junctions in generation of very fast EEG oscillations preceding the onset of, and perhaps initiating, seizures. Epilepsia. 2001; 42(2):153-70. DOI: 10.1046/j.1528-1157.2001.26900.x. View

3.
Novy J, Logroscino G, Rossetti A . Refractory status epilepticus: a prospective observational study. Epilepsia. 2009; 51(2):251-6. DOI: 10.1111/j.1528-1167.2009.02323.x. View

4.
Pietrobon D, Moskowitz M . Chaos and commotion in the wake of cortical spreading depression and spreading depolarizations. Nat Rev Neurosci. 2014; 15(6):379-93. DOI: 10.1038/nrn3770. View

5.
Rossetti A, Logroscino G, Bromfield E . Refractory status epilepticus: effect of treatment aggressiveness on prognosis. Arch Neurol. 2005; 62(11):1698-702. DOI: 10.1001/archneur.62.11.1698. View