Evidence map›Paper›PMID 34863650›Full record

ArticleJournal of the mechanical behavior of biomedical materials2022

Cerebral vascular strains in dynamic head impact using an upgraded model with brain material property heterogeneity.

Wei Zhao, Songbai Ji

Abstract read
In one paragraph

Article in Journal of the mechanical behavior of biomedical materials, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. An MRI-derived head-neck finite element model.Biomechanics and modeling in mechanobiology · 2025
    Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
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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.

Wei ZhaoDepartment of Biomedical Engineering, Worcester Polytechnic Institute, Worcester, MA, 01506, USA.
Songbai JiDepartment of Biomedical Engineering, Worcester Polytechnic Institute, Worcester, MA, 01506, USA. Electronic address: sji@wpi.edu.

Funding

Accumulated white matter fiber strain from repetitive head impacts in contact sportsR01NS092853 · NINDS · WORCESTER POLYTECHNIC INSTITUTE · PI JI, SONGBAI · 2015 to 2018
$1.5M
NINDS NIH HHS R01 NS092853
6 · The paper itself

Abstract

Cerebral vascular injury (CVI) is a frequent consequence of traumatic brain injury but has often been neglected. Substantial experimental work exists on vascular material properties and failure/subfailure thresholds. However, little is known about vascular in vivo loading conditions in dynamic head impact, which is necessary to investigate the risk, severity, and extent of CVI. In this study, we resort to the Worcester Head Injury Model (WHIM) V2.1 for investigation. The model embeds the cerebral vasculature network and is further upgraded to incorporate brain material property heterogeneity based on magnetic resonance elastography. The brain material property is calibrated to match with the previously validated anisotropic V1.0 version in terms of whole-brain strains against six experimental datasets of a wide range of blunt impact conditions. The upgraded WHIM is finally used to simulate five representative real-world head impacts drawn from contact sports and automotive crashes. We find that peak strains in veins are considerably higher than those in arteries and that peak circumferential strains are also higher than peak axial strains. For a typical concussive head impact, cerebral vascular axial strains reach the lowest reported yield strain of ∼7-8%. For severe automotive impacts, axial strains could reach ∼20%, which is on the order of the lowest reported ultimate failure strain of ∼24%. These results suggest in vivo mechanical loading conditions of the cerebral vasculature (excluding bridging veins not assessed here) due to rapid head rotation are at the lower end of failure/subfailure thresholds established from ex vivo experiments. This study provides some first insight into the risk, severity, and extent of CVI in real-world head impacts.

Indexed as

Brain ConcussionBrain InjuriesCraniocerebral TraumaBrainHeadHumansAnisotropyCerebral vascular injuryConcussionHeterogeneityTraumatic brain injuryWorcester head injury model

Identifiers

PMID34863650
PMCPMC8792345

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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.