Evidence map›Paper›PMID 39704895›Full record

ArticleBiomechanics and modeling in mechanobiology2025

Full-field, frequency-domain comparison of simulated and measured human brain deformation.

Amir H G Arani, Ruth J Okamoto, Jordan D Escarcega, Antoine Jerusalem, Ahmed A Alshareef, Philip V Bayly

Abstract readComparative Study
In one paragraph

Article in Biomechanics and modeling in mechanobiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

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

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Amir H G AraniMechanical Engineering and Materials Science, Washington University, St. Louis, MO, USA.
Ruth J OkamotoMechanical Engineering and Materials Science, Washington University, St. Louis, MO, USA.
Jordan D EscarcegaMechanical Engineering and Materials Science, Washington University, St. Louis, MO, USA.
Antoine JerusalemDepartment of Engineering Science, University of Oxford, Oxford, OX1 3PJ, UK.
Ahmed A AlshareefDepartment of Mechanical Engineering, University of South Carolina, Columbia, SC, USA.
Philip V BaylyMechanical Engineering and Materials Science, Washington University, St. Louis, MO, USA. pvb@wustl.edu.

Funding

MRI Measurement of the Mechanical Vulnerability of the BrainU01NS112120 · NINDS · WASHINGTON UNIVERSITY · PI BAYLY, PHILIP V · 2019 to 2023
$3.7M
NIH HHS Grant U01 NS112120NINDS NIH HHS U01 NS112120
6 · The paper itself

Abstract

We propose a robust framework for quantitatively comparing model-predicted and experimentally measured strain fields in the human brain during harmonic skull motion. Traumatic brain injuries (TBIs) are typically caused by skull impact or acceleration, but how skull motion leads to brain deformation and consequent neural injury remains unclear and comparison of model predictions to experimental data remains limited. Magnetic resonance elastography (MRE) provides high-resolution, full-field measurements of dynamic brain deformation induced by harmonic skull motion. In the proposed framework, full-field strain measurements from human brain MRE in vivo are compared to simulated strain fields from models with similar harmonic loading. To enable comparison, the model geometry and subject anatomy, and subsequently, the predicted and measured strain fields are nonlinearly registered to the same standard brain atlas. Strain field correlations (

Indexed as

BrainComputer SimulationAdultBiomechanical PhenomenaElasticity Imaging TechniquesHumansMagnetic Resonance ImagingMaleModels, BiologicalSkullStress, MechanicalBrain simulationFrequency-domain comparisonMagnetic resonance elastographyNonlinear registrationStrain fieldsTraumatic brain injury

Identifiers

PMID39704895
PMCPMC12754960

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.