Evidence map›Paper›PMID 40323499›Full record

ArticleAnnals of biomedical engineering2025

An Evaluation of Tentorium and Brainstem Influences on Intracranial Displacements and Strains.

Sheng Xu, Simon Ouellet, Oren E Petel

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Article in Annals of biomedical engineering, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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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

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

3 authors.

Sheng XuDepartment of Mechanical and Aerospace Engineering, Carleton University, 1125 Colonel By Drive, Ottawa, ON, K1S 5B6, Canada.
Simon OuelletDefence Research and Development Canada Valcartier, 2459 Route de la Bravoure, Quebec, QC, G3J 1X5, Canada.
Oren E PetelDepartment of Mechanical and Aerospace Engineering, Carleton University, 1125 Colonel By Drive, Ottawa, ON, K1S 5B6, Canada. oren.petel@carleton.ca.ORCID http://orcid.org/0000-0003-2169-2424

Funding

Canada Foundation for Innovation 32933CIHR CPG-151967Natural Sciences and Engineering Research Council of Canada CPG-151967Ontario Ministry of Research and Innovation ER-18-14-063
6 · The paper itself

Abstract

Headforms are commonly used as tools in the design and qualification of personal protective equipment. Deformable headforms, containing elastomeric brain models, provide a unique opportunity to directly measure the in situ intracranial strain from an impact; however, these physical models require significant refinement to ensure biofidelity. In the present work, the response and biofidelity of a deformable headform and brain model were investigated, comparing the influence of different boundary conditions on its response. More precisely, the presence or absence of a tentorium or a brainstem model were investigated, focusing on the resulting intracranial displacement and strain fields. The headforms were subjected to a series of linear impacts and deformations within the brain were tracked using embedded radiopaque markers and high-speed X-ray imaging. X-Ray Digital Image Correlation was used to calculate displacement and strain fields within the headform. The biofidelity of the displacement and strain fields within the headform design having both a tentorium and a brainstem were compared to Post-Mortem Human Subject (PMHS) data under identical impact conditions. The biofidelity was ranked using a CORA analysis to provide insight for future design refinements of the headform. The biofidelity ratings for displacement were highest in the frontal and occipital regions (good-excellent) and were worst in the insular region (marginal). Meanwhile, the strain biofidelity rating was best in the frontal (good) and cerebellum (good) regions and worst in the insular region (poor-marginal). This work addresses previous limitations in enhancing the biofidelity of closed headforms and offers opportunities for further improvement through the comparison to PMHS data.

Indexed as

Brain StemModels, BiologicalHumansBrainstemDisplacementHeadformImpactStrainTentorium

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Registered trials

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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.