Evidence map›Paper›PMID 32989591›Full record

ArticleAnnals of biomedical engineering2020

Validation and Comparison of Instrumented Mouthguards for Measuring Head Kinematics and Assessing Brain Deformation in Football Impacts.

Yuzhe Liu, August G Domel, Seyed Abdolmajid Yousefsani, Jovana Kondic, Gerald Grant, Michael Zeineh, David B Camarillo

Erratum issuedOpen access · greenAbstract readComparative StudyValidation Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Annals of biomedical engineering, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 70 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
70citing papers in PubMed, 3 pooled it
13.1field-weighted citation impact, top 1% 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

70 citing papers in PubMed, 3 syntheses or guidelines pooled it, 145 citations in OpenAlex.

  1. Pooled it
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  4. Neurophysiological Effects of Repeated Soccer Heading in Youth.Journal of biomechanical engineering · 2023
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10 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Yuzhe Liu *Department of Bioengineering, Stanford University, Stanford, CA, 94305, USA. yuzheliu@stanford.edu.ORCID http://orcid.org/0000-0002-9451-0620
August G Domel *Department of Bioengineering, Stanford University, Stanford, CA, 94305, USA.
Seyed Abdolmajid Yousefsani *Department of Bioengineering, Stanford University, Stanford, CA, 94305, USA.
Jovana KondicDepartment of Bioengineering, Stanford University, Stanford, CA, 94305, USA.
Gerald GrantDepartment of Neurosurgery, Stanford University, Stanford, CA, 94305, USA.
Michael ZeinehDepartment of Radiology, Stanford University, Stanford, CA, 94305, USA.
David B CamarilloDepartment of Bioengineering, Stanford University, Stanford, CA, 94305, USA.
Stanford University · USPrinceton University · US

Funding

Disseminating a validated mouthguard sensor to investigate the effect of head impacts on brain healthR24NS098518 · NINDS · STANFORD UNIVERSITY · PI CAMARILLO, DAVID, GRANT, GERALD ARTHUR · 2018 to 2021
$1.1M
NINDS NIH HHS R24 NS098518NINDS NIH HHS R24NS098518Office of Naval Research N00014-16-1-2949
6 · The paper itself

Abstract

Because of the rigid coupling between the upper dentition and the skull, instrumented mouthguards have been shown to be a viable way of measuring head impact kinematics for assisting in understanding the underlying biomechanics of concussions. This has led various companies and institutions to further develop instrumented mouthguards. However, their use as a research tool for understanding concussive impacts makes quantification of their accuracy critical, especially given the conflicting results from various recent studies. Here we present a study that uses a pneumatic impactor to deliver impacts characteristic to football to a Hybrid III headform, in order to validate and compare five of the most commonly used instrumented mouthguards. We found that all tested mouthguards gave accurate measurements for the peak angular acceleration, the peak angular velocity, brain injury criteria values (mean average errors < 13, 8, 13%, respectively), and the mouthguards with long enough sampling time windows are suitable for a convolutional neural network-based brain model to calculate the brain strain (mean average errors < 9%). Finally, we found that the accuracy of the measurement varies with the impact locations yet is not sensitive to the impact velocity for the most part.

Indexed as

Brain ConcussionHead Protective DevicesMouth ProtectorsAccelerationBiomechanical PhenomenaFootballHeadHumansMaleAnthropomorphic test dummy (ATD)ConcussionElectronic mouthguardmTBISmart mouthguard

Identifiers

PMID32989591
PMCPMC9555247
OpenAlexW3047127101

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.