Evidence map›Paper›PMID 34231091›Full record

ArticleAnnals of biomedical engineering2021

Time Window of Head Impact Kinematics Measurement for Calculation of Brain Strain and Strain Rate in American Football.

Yuzhe Liu, August G Domel, Nicholas J Cecchi, Eli Rice, Ashlyn A Callan, Samuel J Raymond, Zhou Zhou, Xianghao Zhan, Yiheng Li, Michael M Zeineh and 2 more

Abstract read
PubMed Publisher
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 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
5.1field-weighted citation impact, top 4% 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

17 citing papers in PubMed, 42 citations in OpenAlex.

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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

12 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.
Nicholas J CecchiDepartment of Bioengineering, Stanford University, Stanford, CA, 94305, USA.
Eli RiceStanford Center for Clinical Research, Stanford University, Stanford, CA, 94305, USA.
Ashlyn A CallanDepartment of Bioengineering, Stanford University, Stanford, CA, 94305, USA.
Samuel J RaymondDepartment of Bioengineering, Stanford University, Stanford, CA, 94305, USA.
Zhou ZhouDepartment of Bioengineering, Stanford University, Stanford, CA, 94305, USA.
Xianghao ZhanDepartment of Bioengineering, Stanford University, Stanford, CA, 94305, USA.
Yiheng LiDepartment of Biomedical Informatics, Stanford University, Stanford, CA, 94305, USA.
Michael M ZeinehDepartment of Radiology, Stanford University, Stanford, CA, 94305, USA.
Gerald A GrantDepartment of Neurosurgery, Stanford University, Stanford, CA, 94305, USA.
David B CamarilloDepartment of Bioengineering, Stanford University, Stanford, CA, 94305, USA.
Stanford University · USCenter for Clinical Research (United States) · 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
NIH HHS R24NS098518
6 · The paper itself

Abstract

Wearable devices have been shown to effectively measure the head's movement during impacts in sports like American football. When a head impact occurs, the device is triggered to collect and save the kinematic measurements during a predefined time window. Then, based on the collected kinematics, finite element (FE) head models can calculate brain strain and strain rate, which are used to evaluate the risk of mild traumatic brain injury. To find a time window that can provide a sufficient duration of kinematics for FE analysis, we investigated 118 on-field video-confirmed football head impacts collected by the Stanford Instrumented Mouthguard. The simulation results based on the kinematics truncated to a shorter time window were compared with the original to determine the minimum time window needed for football. Because the individual differences in brain geometry influence these calculations, we included six representative brain geometries and found that larger brains need a longer time window of kinematics for accurate calculation. Among the different sizes of brains, a pre-trigger time of 40 ms and a post-trigger time of 70 ms were found to yield calculations of brain strain and strain rate that were not significantly different from calculations using the original 200 ms time window recorded by the mouthguard. Therefore, approximately 110 ms is recommended for complete modeling of impacts for football.

Indexed as

Models, BiologicalAccelerationAthletic InjuriesBiomechanical PhenomenaBrainBrain InjuriesFemaleFinite Element AnalysisFootballHeadHumansMaleMouth ProtectorsSports EquipmentTelemetryUnited StatesAmerican footballHead impact sensorInstrumented mouthguardTime windowTraumatic brain injury

Identifiers

PMID34231091
OpenAlexW3182994126

What OpenQuestion holds

Textmetadata
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.