Evidence map›Paper›PMID 31622338›Full record

ArticlePLoS computational biology2019

Action potential propagation and synchronisation in myelinated axons.

Helmut Schmidt, Thomas R Knösche

Abstract read
In one paragraph

Article in PLoS computational biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

37 citing papers in PubMed.

  1. Article
  2. Clinical utility and prospective of TMS-EEG: Updated review from an international expert group.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2026
    Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Saltatory axonal conduction in the avian retina.The Journal of physiology · 2025
    Article
  8. Article
  9. Article
  10. Article
  11. The wave nature of the action potential.Frontiers in cellular neuroscience · 2025
    Article
  12. Article
  13. Article
  14. Impact of Extracellular Current Flow on Action Potential Propagation in Myelinated Axons.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    Article
  15. Review
  16. Review
  17. Review
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Helmut SchmidtMax Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.ORCID 0000-0002-2264-0821
Thomas R KnöscheMax Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.ORCID 0000-0001-9668-3261

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the advent of advanced MRI techniques it has become possible to study axonal white matter non-invasively and in great detail. Measuring the various parameters of the long-range connections of the brain opens up the possibility to build and refine detailed models of large-scale neuronal activity. One particular challenge is to find a mathematical description of action potential propagation that is sufficiently simple, yet still biologically plausible to model signal transmission across entire axonal fibre bundles. We develop a mathematical framework in which we replace the Hodgkin-Huxley dynamics by a spike-diffuse-spike model with passive sub-threshold dynamics and explicit, threshold-activated ion channel currents. This allows us to study in detail the influence of the various model parameters on the action potential velocity and on the entrainment of action potentials between ephaptically coupled fibres without having to recur to numerical simulations. Specifically, we recover known results regarding the influence of axon diameter, node of Ranvier length and internode length on the velocity of action potentials. Additionally, we find that the velocity depends more strongly on the thickness of the myelin sheath than was suggested by previous theoretical studies. We further explain the slowing down and synchronisation of action potentials in ephaptically coupled fibres by their dynamic interaction. In summary, this study presents a solution to incorporate detailed axonal parameters into a whole-brain modelling framework.

Indexed as

Action PotentialsAlgorithmsAnimalsAxonsBrain Diseases, MetabolicBrain MappingComputer SimulationCortical SynchronizationHumansModels, NeurologicalMyelin SheathNerve Fibers, MyelinatedNeural ConductionWhite Matter

Identifiers

PMID31622338
PMCPMC6818808

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Registered trials

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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.