Evidence map›Paper›PMID 33258089›Full record

ArticleAnnals of biomedical engineering2021

Brain Strain: Computational Model-Based Metrics for Head Impact Exposure and Injury Correlation.

Logan E Miller, Jillian E Urban, Elizabeth M Davenport, Alexander K Powers, Christopher T Whitlow, Joseph A Maldjian, Joel D Stitzel

Abstract read
In one paragraph

Article in Annals of biomedical engineering, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

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

  1. A Systematic Review of Head Impacts and Acceleration Associated with Soccer.International journal of environmental research and public health · 2022
    Pooled it
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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

7 authors.

Logan E MillerDepartment of Biomedical Engineering, Wake Forest School of Medicine, 575 N. Patterson Avenue, Suite 530, Winston-Salem, NC, 27101, USA. logmille@wakehealth.edu.ORCID http://orcid.org/0000-0002-6348-7536
Jillian E UrbanDepartment of Biomedical Engineering, Wake Forest School of Medicine, 575 N. Patterson Avenue, Suite 530, Winston-Salem, NC, 27101, USA.
Elizabeth M DavenportDepartment of Radiology, Southwestern Medical School, University of Texas, 5323 Harry Hines Boulevard, Dallas, TX, 75390, USA.
Alexander K PowersDepartment of Biomedical Engineering, Wake Forest School of Medicine, 575 N. Patterson Avenue, Suite 530, Winston-Salem, NC, 27101, USA.
Christopher T WhitlowDepartment of Biomedical Engineering, Wake Forest School of Medicine, 575 N. Patterson Avenue, Suite 530, Winston-Salem, NC, 27101, USA.
Joseph A MaldjianDepartment of Radiology, Southwestern Medical School, University of Texas, 5323 Harry Hines Boulevard, Dallas, TX, 75390, USA.
Joel D StitzelDepartment of Biomedical Engineering, Wake Forest School of Medicine, 575 N. Patterson Avenue, Suite 530, Winston-Salem, NC, 27101, USA.

Funding

Biomechanical Basis of Pediatric mTBI Due to Sports Related ConcussionR01NS094410 · NINDS · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI DUMA, STEFAN, GREENWALD, RICHARD M · 2015 to 2019
$3.3M
iTAKL: Imaging Telemetry And Kinematic modeLing in youth footballR01NS082453 · NINDS · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI GIOIA, GERARD A., MALDJIAN, JOSEPH A · 2014 to 2018
$3.3M
NINDS NIH HHS R01 NS082453NINDS NIH HHS R01 NS094410
6 · The paper itself

Abstract

Athletes participating in contact sports are exposed to repetitive subconcussive head impacts that may have long-term neurological consequences. To better understand these impacts and their effects, head impacts are often measured during football to characterize head impact exposure and estimate injury risk. Despite widespread use of kinematic-based metrics, it remains unclear whether any single metric derived from head kinematics is well-correlated with measurable changes in the brain. This shortcoming has motivated the increasing use of finite element (FE)-based metrics, which quantify local brain deformations. Additionally, quantifying cumulative exposure is of increased interest to examine the relationship to brain changes over time. The current study uses the atlas-based brain model (ABM) to predict the strain response to impacts sustained by 116 youth football athletes and proposes 36 new, or derivative, cumulative strain-based metrics that quantify the combined burden of head impacts over the course of a season. The strain-based metrics developed and evaluated for FE modeling and presented in the current study present potential for improved analytics over existing kinematically-based and cumulative metrics. Additionally, the findings highlight the importance of accounting for directional dependence and expand the techniques to explore spatial distribution of the strain response throughout the brain.

Indexed as

Models, BiologicalAdolescentBiomechanical PhenomenaBrainBrain ConcussionChildFinite Element AnalysisFootballHeadHumansBrain injuryFinite element modelHead impact exposureHITSStrainSubconcussive head impactsYouth football

Identifiers

PMID33258089
PMCPMC10032321

What OpenQuestion holds

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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.