Evidence map›Paper›PMID 30127763›Full record

ArticleFrontiers in neurology2018

Utilizing a Structural Mechanics Approach to Assess the Primary Effects of Injury Loads Onto the Axon and Its Components.

Annaclaudia Montanino, Svein Kleiven

Abstract read
In one paragraph

Article in Frontiers in neurology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Mathematical models of neuronal growth.Biomechanics and modeling in mechanobiology · 2022
    Review
  8. Review
  9. Viscoelastic damage evaluation of the axon.Frontiers in bioengineering and biotechnology · 2022
    Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Mechanosensation in traumatic brain injury.Neurobiology of disease · 2021
    Review
  15. Article
  16. A network-based response feature matrix as a brain injury metric.Biomechanics and modeling in mechanobiology · 2020
    Article
  17. Article
  18. Myelin Damage in Diffuse Axonal Injury.Frontiers in neuroscience · 2019
    Article
  19. A Precise, ControllableFrontiers in neuroscience · 2019
    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.

Annaclaudia MontaninoDivision of Neuronic Engineering, Royal Institute of Technology (KTH), Huddinge, Sweden.
Svein KleivenDivision of Neuronic Engineering, Royal Institute of Technology (KTH), Huddinge, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diffuse axonal injury (DAI) occurs as a result of the transmission of rapid dynamic loads from the head to the brain and specifically to its neurons. Despite being one of the most common and most deleterious types of traumatic brain injury (TBI), the inherent cell injury mechanism is yet to be understood. Experimental observations have led to the formulation of different hypotheses, such as mechanoporation of the axolemma and microtubules (MTs) breakage. With the goal of singling out the mechanical aspect of DAI and to resolve the ambiguity behind its injury mechanism, a composite finite element (FE) model of a representative volume of an axon was developed. Once calibrated and validated against published experimental data, the axonal model was used to simulate injury scenarios. The resulting strain distributions along its components were then studied in dependence of strain rate and of typical modeling choices such as the applied MT constraints and tau proteins failure. Results show that oversimplifying the MT bundle kinematic entails a systematic attenuation (

Indexed as

axolemmaaxonaxon finite element modeldiffuse axonal injurymicrotubules

Identifiers

PMID30127763
PMCPMC6087765

What OpenQuestion holds

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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.