Evidence map›Paper›PMID 33027609›Full record

ArticleBiophysical journal2020

Mechanisms of Local Stress Amplification in Axons near the Gray-White Matter Interface.

Farid Alisafaei, Ze Gong, Victoria E Johnson, Jean-Pierre Dollé, Douglas H Smith, Vivek B Shenoy

Abstract read
In one paragraph

Article in Biophysical journal, 2020. 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. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Farid AlisafaeiDepartment of Materials Science and Engineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, Pennsylvania; Center for Engineering Mechanobiology, University of Pennsylvania, Philadelphia, Pennsylvania.
Ze GongDepartment of Materials Science and Engineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, Pennsylvania; Center for Engineering Mechanobiology, University of Pennsylvania, Philadelphia, Pennsylvania.
Victoria E JohnsonPenn Center for Brain Injury and Repair, Department of Neurosurgery, University of Pennsylvania, Philadelphia, Pennsylvania.
Jean-Pierre DolléPenn Center for Brain Injury and Repair, Department of Neurosurgery, University of Pennsylvania, Philadelphia, Pennsylvania.
Douglas H SmithPenn Center for Brain Injury and Repair, Department of Neurosurgery, University of Pennsylvania, Philadelphia, Pennsylvania.
Vivek B ShenoyDepartment of Materials Science and Engineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, Pennsylvania; Center for Engineering Mechanobiology, University of Pennsylvania, Philadelphia, Pennsylvania. Electronic address: vshenoy@seas.upenn.edu.

Funding

BRIAN INJURY TRAINING GRANTT32NS043126 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI Douglas Hamilton Smith · 2003 to 2026
$5.9M
Neuropathological Characterization of 'CTE'R01NS094003 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI Douglas Hamilton Smith, William Stewart · 2016 to 2026
$5.1M
Detection and Mechanisms of Mild Traumatic Brain InjuryR01NS092398 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI SMITH, DOUGLAS HAMILTON · 2015 to 2019
$1.9M
Uncovering mechanical mechanisms of traumatic axonal injuryR01EB021293 · NIBIB · UNIVERSITY OF PENNSYLVANIA · PI SHENOY, VIVEK, SMITH, DOUGLAS HAMILTON · 2016 to 2019
$1.4M
NIBIB NIH HHS R01 EB021293NINDS NIH HHS R01 NS092398NINDS NIH HHS R01 NS094003NINDS NIH HHS T32 NS043126
6 · The paper itself

Abstract

Diffuse axonal injury is a primary neuropathological feature of concussion and is thought to greatly contribute to the classical symptoms of decreased processing speed and memory dysfunction. Although previous studies have investigated the injury biomechanics at the micro- and mesoscale of concussion, few have addressed the multiscale transmission of mechanical loading at thresholds that can induce diffuse axonal injury. Because it has been recognized that axonal pathology is commonly found at anatomic interfaces across all severities of traumatic brain injury, we combined computational, analytical, and experimental approaches to investigate the potential mechanical vulnerability of axons that span the gray-white tissue interface. Our computational models predict that material heterogeneities at the gray-white interface lead to a highly nonuniform distribution of stress in axons, which was most amplified in axonal regions near the interface. This mechanism was confirmed using an analytical model of an individual fiber in a strained bimaterial interface. Comparisons of these collective data with histopathological evaluation of a swine model of concussion demonstrated a notably similar pattern of axonal damage adjacent to the gray-white interface. The results suggest that the tissue property mismatch at the gray-white matter interface places axons crossing this region at greater risk of mechanical damage during brain tissue deformation from traumatic brain injury.

Indexed as

White MatterAnimalsAxonsBrainCerebral CortexGray MatterSwine

Identifiers

PMID33027609
PMCPMC7567985

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.