Evidence map›Paper›PMID 41151463›Full record

ArticleJournal of the mechanical behavior of biomedical materials2026

Multimodal characterization of intracranial biomechanics in a 3D biofidelic head surrogate.

Ahmed A Alshareef, J Sebastian Giudice, Daniel F Shedd, Yuan-Chiao Lu, Curtis L Johnson, Dzung L Pham, Matthew B Panzer

Abstract read
In one paragraph

Article in Journal of the mechanical behavior of biomedical materials, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Ahmed A AlshareefDepartment of Biomedical Engineering, University of South Carolina, United States. Electronic address: alshareef@sc.edu.
J Sebastian GiudiceCenter for Applied Biomechanics, University of Virginia, United States.
Daniel F SheddCenter for Applied Biomechanics, University of Virginia, United States.
Yuan-Chiao LuHenry M. Jackson Foundation for the Advancement of Military Medicine, United States; Department of Radiology and Bioengineering, Uniformed Services University, United States.
Curtis L JohnsonDepartment of Biomedical Engineering, University of Delaware, United States.
Dzung L PhamHenry M. Jackson Foundation for the Advancement of Military Medicine, United States; Department of Radiology and Bioengineering, Uniformed Services University, United States.
Matthew B PanzerCenter for Applied Biomechanics, University of Virginia, United States.

Funding

MRI Measurement of the Mechanical Vulnerability of the BrainU01NS112120 · NINDS · WASHINGTON UNIVERSITY · PI BAYLY, PHILIP V · 2019 to 2023
$3.7M
Biomechanics of the Human Brain During High-Severity Impacts: A Multimodal ApproachR01NS136056 · NINDS · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI Ahmed Alshareef, Matthew Brian Panzer · 2025 to 2026
$1.1M
NINDS NIH HHS R01 NS136056NINDS NIH HHS U01 NS112120
6 · The paper itself

Abstract

Rapid head motion causes the brain to deform, which may lead to acute and chronic consequences to normal brain health and function. Since the risk and severity of brain injury correlates with brain strain, computational and physical models of the brain response to impact are commonly used to assess risk and evaluate safety devices in silico. Most physical head surrogates that are used for equipment evaluation, however, are simplified and lack internal measures of brain deformation, relying instead on the interpretation of the resulting head kinematics to predict injury. Developing a more biofidelic physical brain surrogate to improve brain injury risk assessments requires the use of experimental brain motion data. Two techniques, sonomicrometry and tagged magnetic resonance imaging (tMRI), have been independently developed to characterize the in situ and in vivo brain response. Combining data acquired from both techniques can leverage the advantages of each method while alleviating the limitations. The objectives of this study were to create a head surrogate with realistic intracranial geometry and brain simulant for use in multimodal brain deformation experiments. Six gel simulants were tested using shear rheometry, with Sylgard 527 chosen as the best simulant for this study. The headform was created using the average geometry from an MRI template of 20 healthy volunteers, and was tested under non-injurious loading conditions using tMRI and sonomicrometry. The prototype headform showed good contrast in T1-weighted MRI and captured similar strain patterns when compared to the in vivo human response, although maximum principal strains (MPS) were approximately double what is measured in vivo. The two techniques showed good correspondence in brain motion response with trade-offs in temporal resolution and measurement density. Both techniques also showed similar displacement and strain magnitudes with a finite element simulation of the headform. Future studies will focus on including a more realistic sliding condition between skull and brain, as well as optimizing the material properties to better match the in vivo and in situ data.

Indexed as

BrainHeadMechanical PhenomenaBiomechanical PhenomenaHumansMagnetic Resonance ImagingBrain deformationHeadformMagnetic resonance imagingSonomicrometrySurrogate modelTraumatic brain injury

Identifiers

PMID41151463
PMCPMC12666887

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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.