A Multidimensional Neural Bidomain Model with Ephaptic Coupling via Moving Frames

Abstract. A novel mathematical model is proposed to provide a comprehensive framework for simulating ephaptic coupling arising from spatiotemporal interactions between propagating neural fiber bundles through the extracellular space. The resulting multidimensional macroscopic model, applicable to arbitrarily shaped fiber bundles, is derived from the Frankenhaeuser–Huxley formulation of neural spike propagation and extends the classic bidomain framework by explicitly accounting for complex fiber bundle geometries, in which intracellular and extracellular domains are nonoverlapping except at the nodes of Ranvier. To enable accurate simulation of such fiber geometries, a high-order continuous Galerkin method is introduced, incorporating anisotropic conductivities and domain discontinuities through orthonormal basis vectors, known as moving frames. The model is validated via two-dimensional simulations of neural spike propagation along both straight and curved fiber bundles.

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Publication Details

Journal
SIAM Journal on Applied Mathematics
Published
2026-07-23
DOI
https://doi.org/10.1137/25m1778195
Primary Topic
Neural dynamics and brain function
Type
article
Field-Weighted Citation Impact
0.00

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article

A Multidimensional Neural Bidomain Model with Ephaptic Coupling via Moving Frames

Linyu Peng, Sehun Chun
SIAM Journal on Applied Mathematics
Neural dynamics and brain function
article

A Multidimensional Neural Bidomain Model with Ephaptic Coupling via Moving Frames

Linyu Peng, Sehun Chun
article en

Abstract

Abstract. A novel mathematical model is proposed to provide a comprehensive framework for simulating ephaptic coupling arising from spatiotemporal interactions between propagating neural fiber bundles through the extracellular space. The resulting multidimensional macroscopic model, applicable to arbitrarily shaped fiber bundles, is derived from the Frankenhaeuser–Huxley formulation of neural spike propagation and extends the classic bidomain framework by explicitly accounting for complex fiber bundle geometries, in which intracellular and extracellular domains are nonoverlapping except at the nodes of Ranvier. To enable accurate simulation of such fiber geometries, a high-order continuous Galerkin method is introduced, incorporating anisotropic conductivities and domain discontinuities through orthonormal basis vectors, known as moving frames. The model is validated via two-dimensional simulations of neural spike propagation along both straight and curved fiber bundles.

SIAM Journal on Applied MathematicsVol. 86(4)
Yonsei University (KR), Keio University (JP)
National Research Foundation of Korea, Japan Society for the Promotion of Science, Japan Science and Technology Agency
Openalex Percentile: Top 7%
Neural dynamics and brain function
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