Evidence map›Paper›PMID 24077860›Full record

ArticleAnnals of biomedical engineering2014

Parametric comparisons of intracranial mechanical responses from three validated finite element models of the human head.

Songbai Ji, Hamidreza Ghadyani, Richard P Bolander, Jonathan G Beckwith, James C Ford, Thomas W McAllister, Laura A Flashman, Keith D Paulsen, Karin Ernstrom, Sonia Jain and 3 more

Open access · greenAbstract readComparative Study
In one paragraph

Article in Annals of biomedical engineering, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
4.7field-weighted citation impact, top 5% of its field
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

39 citing papers in PubMed, 99 citations in OpenAlex.

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  20. A network-based response feature matrix as a brain injury metric.Biomechanics and modeling in mechanobiology · 2020
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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

13 authors at 5 institutions in 3 countries.

Songbai Ji
Hamidreza Ghadyani
Richard P Bolander
Jonathan G Beckwith
James C Ford
Thomas W McAllister
Laura A Flashman
Keith D Paulsen
Karin Ernstrom
Sonia Jain
Rema Raman
Liying Zhang
Richard M Greenwald
Dartmouth College · USUniversity of California, San Diego · USDartmouth Hospital · GBSimbex (United States) · USWayne State University · US

Funding

Biomechanical Basis of Mild Traumatic Brain InjuryR01HD048638 · NICHD · SIMBEX, LLC · PI GREENWALD, RICHARD M · 2007 to 2011
$3.7M
HEAD IMPACT RECORDING TECHNOLOGY FOR FIELD APPLICATIONSR44HD040743 · NICHD · SIMBEX, LLC · PI GREENWALD, RICHARD M · 2002 to 2003
$750k
NICHD NIH HHS R01 HD048638NICHD NIH HHS R01HD048638NICHD NIH HHS R44 HD040743NICHD NIH HHS R44HD40473
6 · The paper itself

Abstract

A number of human head finite element (FE) models have been developed from different research groups over the years to study the mechanisms of traumatic brain injury. These models can vary substantially in model features and parameters, making it important to evaluate whether simulation results from one model are readily comparable with another, and whether response-based injury thresholds established from a specific model can be generalized when a different model is employed. The purpose of this study is to parametrically compare regional brain mechanical responses from three validated head FE models to test the hypothesis that regional brain responses are dependent on the specific head model employed as well as the region of interest (ROI). The Dartmouth Scaled and Normalized Model (DSNM), the Simulated Injury Monitor (SIMon), and the Wayne State University Head Injury Model (WSUHIM) were selected for comparisons. For model input, 144 unique kinematic conditions were created to represent the range of head impacts sustained by male collegiate hockey players during play. These impacts encompass the 50th, 95th, and 99th percentile peak linear and rotational accelerations at 16 impact locations around the head. Five mechanical variables (strain, strain rate, strain × strain rate, stress, and pressure) in seven ROIs reported from the FE models were compared using Generalized Estimating Equation statistical models. Highly significant differences existed among FE models for nearly all output variables and ROIs. The WSUHIM produced substantially higher peak values for almost all output variables regardless of the ROI compared to the DSNM and SIMon models (p < 0.05). DSNM also produced significantly different stress and pressure compared with SIMon for all ROIs (p < 0.05), but such differences were not consistent across ROIs for other variables. Regardless of FE model, most output variables were highly correlated with linear and rotational peak accelerations. The significant disparities in regional brain responses across head models regardless of the output variables strongly suggest that model-predicted brain responses from one study should not be extended to other studies in which a different model is utilized. Consequently, response-based injury tolerance thresholds from a specific model should not be generalized to other studies either in which a different model is used. However, the similar relationships between regional responses and the linear/rotational peak accelerations suggest that each FE model can be used independently to assess regional brain responses to impact simulations in order to perform statistical correlations with medical images and/or well-selected experiments with documented injury findings.

Indexed as

Models, BiologicalAthletic InjuriesBiomechanical PhenomenaBrain InjuriesFemaleHeadHumansMale

Identifiers

PMID24077860
PMCPMC4397967
OpenAlexW2081530790

What OpenQuestion holds

Textmetadata
LicenceTDM
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.