Evidence map›Paper›PMID 39739082›Full record

ArticleAnnals of biomedical engineering2025

Effects of anatomy and head motion on spatial patterns of deformation in the human brain.

Jordan D Escarcega, Ruth J Okamoto, Ahmed A Alshareef, Curtis L Johnson, Philip V Bayly

Abstract read
In one paragraph

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. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

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

5 authors.

Jordan D EscarcegaDepartment of Mechanical Engineering and Materials Science, Washington University in St. Louis, 1 Brookings Drive, MSC 1185-208-125, St. Louis, MO, 63130, USA.
Ruth J OkamotoDepartment of Mechanical Engineering and Materials Science, Washington University in St. Louis, 1 Brookings Drive, MSC 1185-208-125, St. Louis, MO, 63130, USA.
Ahmed A AlshareefDepartment of Mechanical Engineering, University of South Carolina, Columbia, SC, 29208, USA.
Curtis L JohnsonDepartment of Biomedical Engineering, University of Delaware, Newark, DE, 19716, USA.
Philip V BaylyDepartment of Mechanical Engineering and Materials Science, Washington University in St. Louis, 1 Brookings Drive, MSC 1185-208-125, St. Louis, MO, 63130, USA. pvb@wustl.edu.ORCID http://orcid.org/0000-0003-4303-0704

Funding

MRI Measurement of the Mechanical Vulnerability of the BrainU01NS112120 · NINDS · WASHINGTON UNIVERSITY · PI BAYLY, PHILIP V · 2019 to 2023
$3.7M
Interrogating Synaptic Mechanisms Underlying Contextual Fear Conditioning Amnesia in Rodent Model of Highly Repetitive Mild Traumatic Brain InjuryF30NS122281 · NINDS · GEORGETOWN UNIVERSITY · PI CHAPMAN, DANIEL · 2022 to 2024
$131k
Structural dynamics of the human brain in vivo from tagged MRI and MR elastography.F31NS122287 · NINDS · WASHINGTON UNIVERSITY · PI ESCARCEGA, JORDAN DE NIRO · 2022 to 2023
$93k
NINDS NIH HHS F31 NS122281NINDS NIH HHS F31 NS122287NINDS NIH HHS U01 NS112120
6 · The paper itself

Abstract

purposeTo determine how the biomechanical vulnerability of the human brain is affected by features of individual anatomy and loading.

methodsTo identify the features that contribute most to brain vulnerability, we imparted mild harmonic acceleration to the head and measured the resulting brain motion and deformation using magnetic resonance elastography (MRE). Oscillatory motion was imparted to the heads of adult participants using a lateral actuator (n = 24) or occipital actuator (n = 24) at 20 Hz, 30 Hz, and 50 Hz. Displacement vector fields and strain tensor fields in the brain were obtained from MRE measurements. Anatomical images, as well as displacement and strain fields from each participant were rigidly and deformably aligned to a common atlas (MNI-152). Vulnerability of the brain to deformation was quantified by the ratio of strain energy (SE) to kinetic energy (KE) for each participant. Similarity of deformation patterns between participants was quantified using strain field correlation (C

resultsThe SE/KE ratio decreased with frequency and was larger for participants undergoing lateral, rather than occipital, actuation. Head rotation about the inferior-superior axis was correlated with larger SE/KE ratio. Strain field correlations were primarily affected by the similarity of rigid-body motion.

conclusionThe motion applied to the skull is the most important factor in determining both the vulnerability of the brain to deformation and the similarity between strain fields in different individuals.

Indexed as

BrainHeadHead MovementsAdultBiomechanical PhenomenaElasticity Imaging TechniquesFemaleHumansMaleMiddle AgedBrain biomechanicsMR elastographyMRITraumatic brain injury

Identifiers

PMID39739082
PMCPMC12931853

What OpenQuestion holds

Textmetadata
LicenceTDM
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.