The impact of high frequency-based stability on the onset of action potentials in neuron models

Fuente: arXiv
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Auteurs principaux: Cerpa, Eduardo, Corrales, Nathaly, Courdurier, Matías, Medina, Leonel E., Paduro, Esteban
Format: Preprint
Publié: 2024
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author Cerpa, Eduardo
Corrales, Nathaly
Courdurier, Matías
Medina, Leonel E.
Paduro, Esteban
author_facet Cerpa, Eduardo
Corrales, Nathaly
Courdurier, Matías
Medina, Leonel E.
Paduro, Esteban
contents This paper studies the phenomenon of conduction block in model neurons using high-frequency biphasic stimulation (HFBS). The focus is investigating the triggering of undesired onset action potentials when the HFBS is turned on. The approach analyzes the transient behavior of an averaged system corresponding to the FitzHugh-Nagumo neuron model using Lyapunov and quasi-static methods. The first result provides a more comprehensive understanding of the onset activation through a mathematical proof of how to avoid it using a ramp in the amplitude of the oscillatory source. The second result tests the response of the blocked system to a piecewise linear stimulus, providing a quantitative description of how the HFBS strength translates into conduction block robustness. The results of this work can provide insights for the design of electrical neurostimulation therapies.
format Preprint
id arxiv_https___arxiv_org_abs_2402_05886
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle The impact of high frequency-based stability on the onset of action potentials in neuron models
Cerpa, Eduardo
Corrales, Nathaly
Courdurier, Matías
Medina, Leonel E.
Paduro, Esteban
Neurons and Cognition
Dynamical Systems
37N25, 92-10
This paper studies the phenomenon of conduction block in model neurons using high-frequency biphasic stimulation (HFBS). The focus is investigating the triggering of undesired onset action potentials when the HFBS is turned on. The approach analyzes the transient behavior of an averaged system corresponding to the FitzHugh-Nagumo neuron model using Lyapunov and quasi-static methods. The first result provides a more comprehensive understanding of the onset activation through a mathematical proof of how to avoid it using a ramp in the amplitude of the oscillatory source. The second result tests the response of the blocked system to a piecewise linear stimulus, providing a quantitative description of how the HFBS strength translates into conduction block robustness. The results of this work can provide insights for the design of electrical neurostimulation therapies.
title The impact of high frequency-based stability on the onset of action potentials in neuron models
topic Neurons and Cognition
Dynamical Systems
37N25, 92-10
url https://arxiv.org/abs/2402.05886