Evidence map›Paper›PMID 30377900›Full record

ArticleAnnals of biomedical engineering2019

Mesh Convergence Behavior and the Effect of Element Integration of a Human Head Injury Model.

Wei Zhao, Songbai Ji

Abstract read
In one paragraph

Article in Annals of biomedical engineering, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
–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

18 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. An MRI-derived head-neck finite element model.Biomechanics and modeling in mechanobiology · 2025
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  16. A network-based response feature matrix as a brain injury metric.Biomechanics and modeling in mechanobiology · 2020
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  18. 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.

Wei ZhaoDepartment of Biomedical Engineering, Worcester Polytechnic Institute, 60 Prescott Street, Worcester, MA, 01605, USA.
Songbai JiDepartment of Biomedical Engineering, Worcester Polytechnic Institute, 60 Prescott Street, Worcester, MA, 01605, USA. sji@wpi.edu.ORCID http://orcid.org/0000-0002-2886-5781

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
Model-Based Cumulative Analysis of On-Field Head Impacts in Contact SportsR21NS088781 · NINDS · WORCESTER POLYTECHNIC INSTITUTE · PI JI, SONGBAI · 2015 to 2016
$462k
National Institute of Neurological Disorders and Stroke R01 NS092853National Institute of Neurological Disorders and Stroke R21 NS088781NINDS NIH HHS R01 NS092853NINDS NIH HHS R21 NS088781
6 · The paper itself

Abstract

Numerous head injury models exist that vary in mesh density by orders of magnitude. A careful study of the mesh convergence behavior is necessary, especially in terms of strain most relevant to brain injury. To this end, as well as to investigate the effect of element integration scheme on simulated strains, we re-meshed the Worcester Head Injury Model at five mesh densities (~ 7.2-1000 k high-quality hexahedral elements of the brain). Results from explicit dynamic simulations of three cadaveric impacts and an in vivo head rotation were compared. First, scalar metrics of the whole brain only considering magnitude were used, including peak maximum principal strain and population-based median strain. They were further extended to deep white matter regions and the entire brain elements, respectively, to form two "response vectors" to account for both magnitude and distribution. Using benchmark enhanced full-integration elements (C3D8I), a minimum of 202.8 k brain elements were necessary to converge for response vectors of the deep white matter regions. This model was further used to simulate with reduced integration (C3D8R). We found that hourglass energy higher than the common rule of thumb (e.g., up to 44.38% vs. < 10% of internal energy) was necessary to maintain comparable strain relative to C3D8I. Based on these results, it is recommended that a human head injury model should have a minimum number of 202.8 k elements, or an average element size of no larger than 1.8 mm, for the brain. C3D8R formulation with relax stiffness hourglass control using a high scaling factor is also recommended to achieve sufficient accuracy without substantial computational cost.

Indexed as

Brain InjuriesModels, BiologicalHumansElement integrationFinite element modelMesh convergenceTraumatic brain injuryWorcester head injury model

Identifiers

PMID30377900
PMCPMC6344257

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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.