ArticlePLoS computational biology2021
Perturbations both trigger and delay seizures due to generic properties of slow-fast relaxation oscillators.
Article in PLoS computational biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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7 citing papers in PubMed.
- Ion dynamics underlying the seizure delay effect of low-frequency electrical stimulation.PLoS computational biology · 2025Article
- On brain stimulation in epilepsy.Brain : a journal of neurology · 2025Review
- Bifurcations and bursting in the Epileptor.PLoS computational biology · 2024Article
- Computational modeling allows unsupervised classification of epileptic brain states across species.Scientific reports · 2023Article
- Optogenetic stimulation reveals a latent tipping point in cortical networks during ictogenesis.Brain : a journal of neurology · 2023Article
- A framework for macroscopic phase-resetting curves for generalised spiking neural networks.PLoS computational biology · 2022Article
- Quantitative comparison of the mean-return-time phase and the stochastic asymptotic phase for noisy oscillators.Biological cybernetics · 2022Article
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2 authors.
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Abstract
The mechanisms underlying the emergence of seizures are one of the most important unresolved issues in epilepsy research. In this paper, we study how perturbations, exogenous or endogenous, may promote or delay seizure emergence. To this aim, due to the increasingly adopted view of epileptic dynamics in terms of slow-fast systems, we perform a theoretical analysis of the phase response of a generic relaxation oscillator. As relaxation oscillators are effectively bistable systems at the fast time scale, it is intuitive that perturbations of the non-seizing state with a suitable direction and amplitude may cause an immediate transition to seizure. By contrast, and perhaps less intuitively, smaller amplitude perturbations have been found to delay the spontaneous seizure initiation. By studying the isochrons of relaxation oscillators, we show that this is a generic phenomenon, with the size of such delay depending on the slow flow component. Therefore, depending on perturbation amplitudes, frequency and timing, a train of perturbations causes an occurrence increase, decrease or complete suppression of seizures. This dependence lends itself to analysis and mechanistic understanding through methods outlined in this paper. We illustrate this methodology by computing the isochrons, phase response curves and the response to perturbations in several epileptic models possessing different slow vector fields. While our theoretical results are applicable to any planar relaxation oscillator, in the motivating context of epilepsy they elucidate mechanisms of triggering and abating seizures, thus suggesting stimulation strategies with effects ranging from mere delaying to full suppression of seizures.
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