ArticlePLoS computational biology2020
Modelling the effects of ephaptic coupling on selectivity and response patterns during artificial stimulation of peripheral nerves.
Article in PLoS computational biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed, 28 citations in OpenAlex.
- Regular afferent activity and structural homogeneity gate ephaptic synchronization in the dorsal column.Frontiers in human neuroscience · 2026Article
- Human vagus nerve fascicular anatomy and its implications for targeted cardiac stimulation: a microCT segmentation and histological pilot anatomical study.Frontiers in neuroscience · 2026Article
- Reproducible Human Neural Circuits Printed with Single-Cell Precision Reveal the Functional Roles of Ephaptic Coupling.ACS nano · 2025Article
- Bidirectional mechanisms and emerging strategies for implantable bioelectronic interfaces.Bioactive materials · 2025Review
- Delayed muscle fatigue during electrical stimulation of the proximal nerve using asymmetric random high-frequency carrier pulse cluster.Journal of neuroengineering and rehabilitation · 2025Article
- Oscillatory Transcranial Electrical Stimulation and the Amplitude-Modulated Frequency Dictate the Quantitative Features of Phosphenes.The European journal of neuroscience · 2025Article
- Computational modeling of autonomic nerve stimulation: Vagus et al.Current opinion in biomedical engineering · 2024Article
- NRV: An open framework for in silico evaluation of peripheral nerve electrical stimulation strategies.PLoS computational biology · 2024Article
- Impact of Extracellular Current Flow on Action Potential Propagation in Myelinated Axons.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Article
- Multiformity of extracellular microelectrode recordings from Aδ neurons in the dorsal root ganglia: a computational modeling study.Journal of neurophysiology · 2024Article
- NRV: An open framework forbioRxiv : the preprint server for biology · 2024Article
- Signal processing in the vagus nerve: Hypotheses based on new genetic and anatomical evidence.Biological psychology · 2023Review
- Organotopic organization of the porcine mid-cervical vagus nerve.Frontiers in neuroscience · 2023Article
- Neuron matters: neuromodulation with electromagnetic stimulation must consider neurons as dynamic identities.Journal of neuroengineering and rehabilitation · 2022Review
- Modelling the effect of ephaptic coupling on spike propagation in peripheral nerve fibres.Biological cybernetics · 2022Article
- Bell's Palsy-Retroauricular Pain Threshold.Medicina (Kaunas, Lithuania) · 2021Article
- In vivo microstimulation with cathodic and anodic asymmetric waveforms modulates spatiotemporal calcium dynamics in cortical neuropil and pyramidal neurons of male mice.Journal of neuroscience research · 2020Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Artificial electrical stimulation of peripheral nerves for sensory feedback restoration can greatly benefit from computational models for simulation-based neural implant design in order to reduce the trial-and-error approach usually taken, thus potentially significantly reducing research and development costs and time. To this end, we built a computational model of a peripheral nerve trunk in which the interstitial space between the fibers and the tissues was modelled using a resistor network, thus enabling distance-dependent ephaptic coupling between myelinated axons and between fascicles as well. We used the model to simulate a) the stimulation of a nerve trunk model with a cuff electrode, and b) the propagation of action potentials along the axons. Results were used to investigate the effect of ephaptic interactions on recruitment and selectivity stemming from artificial (i.e., neural implant) stimulation and on the relative timing between action potentials during propagation. Ephaptic coupling was found to increase the number of fibers that are activated by artificial stimulation, thus reducing the artificial currents required for axonal recruitment, and it was found to reduce and shift the range of optimal stimulation amplitudes for maximum inter-fascicular selectivity. During propagation, while fibers of similar diameters tended to lock their action potentials and reduce their conduction velocities, as expected from previous knowledge on bundles of identical axons, the presence of many other fibers of different diameters was found to make their interactions weaker and unstable.
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