Evidence map›Paper›PMID 36516544›Full record

ArticleJournal of the mechanical behavior of biomedical materials2023

Characterization of material properties and deformation in the ANGUS phantom during mild head impacts using MRI.

Andrew K Knutsen, Suhas Vidhate, Grace McIlvain, Josh Luster, Eric J Galindo, Curtis L Johnson, Dzung L Pham, John A Butman, Ricardo Mejia-Alvarez, Michaelann Tartis and 1 more

Open access · greenAbstract read
In one paragraph

Article in Journal of the mechanical behavior of biomedical materials, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.7field-weighted citation impact, top 15% 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

9 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Multimodal characterization of intracranial biomechanics in a 3D biofidelic head surrogate.Journal of the mechanical behavior of biomedical materials · 2026
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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

11 authors at 7 institutions in 1 country.

Andrew K KnutsenCenter for Neuroscience and Regenerative Medicine, The Henry M Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, 20814, USA.
Suhas VidhateRadiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD, 20892, USA. Electronic address: suhas.vidhate.msu@gmail.com.
Grace McIlvainDepartment of Biomedical Engineering, University of Delaware, Newark, DE, 19716, USA.
Josh LusterDepartment of Neurology, Brooke Army Medical Center, Fort Sam Houston, TX, 78234, USA.
Eric J GalindoDepartment of Chemical Engineering, New Mexico Institute of Mining and Technology, Socorro, NM, 87801, USA.
Curtis L JohnsonDepartment of Biomedical Engineering, University of Delaware, Newark, DE, 19716, USA.
Dzung L PhamCenter for Neuroscience and Regenerative Medicine, The Henry M Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, 20814, USA.
John A ButmanRadiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD, 20892, USA.
Ricardo Mejia-AlvarezDepartment of Mechanical Engineering, Michigan State University, East Lansing, MI, 48824, USA.
Michaelann TartisDepartment of Chemical Engineering, New Mexico Institute of Mining and Technology, Socorro, NM, 87801, USA.
Adam M WillisDepartment of Mechanical Engineering, Michigan State University, East Lansing, MI, 48824, USA; 59th Medical Wing, Office of the Chief Scientist, Lackland AFB, TX, 78236, USA.
Henry M. Jackson Foundation · USNational Institutes of Health Clinical Center · USNew Mexico Institute of Mining and Technology · USUniversity of Delaware · US59th Medical Wing · USBrooke Army Medical Center · USMichigan State University · US

Funding

MRI Measurement of the Mechanical Vulnerability of the BrainU01NS112120 · NINDS · WASHINGTON UNIVERSITY · PI BAYLY, PHILIP V · 2019 to 2023
$3.7M
Estimation of Brain Biomechanics using MRIZIACL040018 · CLC · CLINICAL CENTER · PI BUTMAN, JOHN · 2021 to 2023
$0k
NINDS NIH HHS U01 NS112120
6 · The paper itself

Abstract

Traumatic brain injury (TBI) is a major health concern affecting both military and civilian populations. Despite notable advances in TBI research in recent years, there remains a significant gap in linking the impulsive loadings from a blast or a blunt impact to the clinical injury patterns observed in TBI. Synthetic head models or phantoms can be used to establish this link as they can be constructed with geometry, anatomy, and material properties that match the human brain, and can be used as an alternative to animal models. This study presents one such phantom called the Anthropomorphic Neurologic Gyrencephalic Unified Standard (ANGUS) phantom, which is an idealized gyrencephalic brain phantom composed of polyacrylamide gel. Here we mechanically characterized the ANGUS phantom using tagged magnetic resonance imaging (MRI) and magnetic resonance elastography (MRE), and then compared the outcomes to data obtained in healthy volunteers. The direct comparison between the phantom's response and the data from a cohort of in vivo human subjects demonstrate that the ANGUS phantom may be an appropriate model for bulk tissue response and gyral dynamics of the human brain under small amplitude linear impulses. However, the phantom's response differs from that of the in vivo human brain under rotational impacts, suggesting avenues for future improvements to the phantom.

Indexed as

Brain Injuries, TraumaticMagnetic Resonance ImagingAnimalsBrainHeadHumansPhantoms, ImagingBiofidelic brain phantomBrain biomechanicsMagnetic resonance elastographyMagnetic resonance imagingMaterial characterizationTraumatic brain injury

Identifiers

PMID36516544
PMCPMC10169236
OpenAlexW4310730820

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.