ArticleJournal of computational neuroscience2018
A model of motor and sensory axon activation in the median nerve using surface electrical stimulation.
Article in Journal of computational neuroscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.
What it found
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Who cites it
36 citing papers in PubMed, 1 synthesis or guideline pooled it, 80 citations in OpenAlex.
- A systematic review of computational models for the design of spinal cord stimulation therapies: from neural circuits to patient-specific simulations.The Journal of physiology · 2023Pooled it
- A methodological framework for the efficient characterization of peripheral nerve stimulation parameters.Journal of neural engineering · 2025Trial
- Fundamental limitations of kilohertz-frequency carriers in afferent fibre recruitment with transcutaneous spinal cord stimulation.Nature biomedical engineering · 2026Article
- The optimization of neuroprosthetic interfaces relying on biophysical and surrogate digital twins.npj biomedical innovations · 2026Review
- Virtual prototyping of non-invasive spinal cord electrical stimulation targeting upper limb motor function.bioRxiv : the preprint server for biology · 2026Article
- Directional leads applied to spinal cord stimulation: A computational modelling study.PloS one · 2026Article
- Ion dynamics underlying the seizure delay effect of low-frequency electrical stimulation.PLoS computational biology · 2025Article
- SpIC3D imaging for spinal in situ contrast 3D visualization.Cell reports methods · 2025Article
- Comparison of activation and selectivity in dorsal and ventral epidural spinal cord stimulation in rats: a computational modeling study.Scientific reports · 2025Article
- Simulation insights on the compound action potential in multifascicular nerves.PLoS computational biology · 2025Article
- In situ electric field dosimetry analysis for powerline frequency peripheral nerve magnetic stimulation.Scientific reports · 2025Article
- Delayed muscle fatigue during electrical stimulation of the proximal nerve using asymmetric random high-frequency carrier pulse cluster.Journal of neuroengineering and rehabilitation · 2025Article
- Initial assessment of PNS safety for interventionalists during image-guided procedures.Magma (New York, N.Y.) · 2025Article
- The interplay between pulse width and activation depth in TENS: a computational study.Frontiers in pain research (Lausanne, Switzerland) · 2025Article
- Action potential threshold variability for different electrostimulation models and its potential impact on occupational exposure limit values.Bioelectromagnetics · 2025Article
- The effects of neuron morphology and spatial distribution on the selectivity of dorsal root ganglion stimulation.Journal of neural engineering · 2024Article
- NRV: An open framework for in silico evaluation of peripheral nerve electrical stimulation strategies.PLoS computational biology · 2024Article
- Computational modeling of dorsal root ganglion stimulation using an Injectrode.Journal of neural engineering · 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
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Surface electrical stimulation has the potential to be a powerful and non-invasive treatment for a variety of medical conditions but currently it is difficult to obtain consistent evoked responses. A viable clinical system must be able to adapt to variations in individuals to produce repeatable results. To more fully study the effect of these variations without performing exhaustive testing on human subjects, a system of computer models was created to predict motor and sensory axon activation in the median nerve due to surface electrical stimulation at the elbow. An anatomically-based finite element model of the arm was built to accurately predict voltages resulting from surface electrical stimulation. In addition, two axon models were developed based on previously published models to incorporate physiological differences between sensory and motor axons. This resulted in axon models that could reproduce experimental results for conduction velocity, strength-duration curves and activation threshold. Differences in experimentally obtained action potential shape between the motor and sensory axons were reflected in the models. The models predicted a lower threshold for sensory axons than motor axons of the same diameter, allowing a range of sensory axons to be activated before any motor axons. This system of models will be a useful tool for development of surface electrical stimulation as a method to target specific neural functions.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.