Evidence map›Paper›PMID 42853841›Full record

ArticlePLoS computational biology2026

A statistical damage model for coupled mechano-electrophysiological axonal injury.

Zexuan Chen, Liqun Tang, Bao Yang, Yiping Liu, Zhenyu Jiang, Licheng Zhou, Zejia Liu

Abstract read
In one paragraph

Article in PLoS computational biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Zexuan ChenDepartment of Engineering Mechanics, School of Civil Engineering and Transportation, South China University of Technology, Guangzhou, Guangdong, China.
Liqun TangDepartment of Engineering Mechanics, School of Civil Engineering and Transportation, South China University of Technology, Guangzhou, Guangdong, China.ORCID https://orcid.org/0000-0001-6037-1733
Bao YangDepartment of Engineering Mechanics, School of Civil Engineering and Transportation, South China University of Technology, Guangzhou, Guangdong, China.
Yiping LiuDepartment of Engineering Mechanics, School of Civil Engineering and Transportation, South China University of Technology, Guangzhou, Guangdong, China.
Zhenyu JiangDepartment of Engineering Mechanics, School of Civil Engineering and Transportation, South China University of Technology, Guangzhou, Guangdong, China.
Licheng ZhouDepartment of Engineering Mechanics, School of Civil Engineering and Transportation, South China University of Technology, Guangzhou, Guangdong, China.
Zejia LiuDepartment of Engineering Mechanics, School of Civil Engineering and Transportation, South China University of Technology, Guangzhou, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Deformation-induced injury of white matter nerve bundles is prevalent in central nervous system injuries, leading to a series of neurological dysfunctions. To describe the effect of deformation injury on the physiological electrical signals of neurons, several axonal electrophysiological damage models based on the Hodgkin-Huxley equations have been proposed. However, none of these models can fully characterize the results of white matter nerve stretching experiments under different rates and amplitudes. Building on previous work by peers, we propose a novel axonal deformation damage model that comprehensively considers the coupled effects of sodium and potassium channel damage on gating variable rate constants, as well as the differences in mechanical properties and injury among individual axons during deformation-with these differences continuously modeled by a statistical distribution. The proposed model can not only reasonably describe the sodium left-shift phenomenon (a key post-injury feature) but also accurately reproduce the neuro-electrophysiological responses of nerve fascicles under various stretching conditions. This new neuro-electrophysiological model for nerve fascicle injury exhibits good universality and provides a mechanical mechanism-based reference for future clinical treatment strategies of nerve injury.

Indexed as

AxonsModels, NeurologicalModels, StatisticalAction PotentialsAnimalsComputational BiologyElectrophysiological PhenomenaHumansPotassium ChannelsSodium ChannelsPotassium ChannelsSodium Channels

Identifiers

PMID42853841
PMCPMC13652255

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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.