Evidence map›Paper›PMID 37369255›Full record

ArticleNeuroImage2023

Mechanical stiffness and anisotropy measured by MRE during brain development in the minipig.

Shuaihu Wang, Charlotte A Guertler, Ruth J Okamoto, Curtis L Johnson, Matthew D J McGarry, Philip V Bayly

Open access · goldAbstract read
In one paragraph

Article in NeuroImage, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

8 citing papers in PubMed, 18 citations in OpenAlex.

  1. Measurement of Residual Stress in the Brain.Journal of biomechanical engineering · 2025
    Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Beyond the surface: howFrontiers in neuroscience · 2024
    Review
  8. 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

6 authors at 3 institutions in 1 country.

Shuaihu WangMechanical Engineering and Material Science, Washington University in St. Louis, United States.
Charlotte A GuertlerMechanical Engineering and Material Science, Washington University in St. Louis, United States.
Ruth J OkamotoMechanical Engineering and Material Science, Washington University in St. Louis, United States.
Curtis L JohnsonBiomedical Engineering, University of Delaware, United States.
Matthew D J McGarryThayer School of Engineering, Dartmouth College, United States.
Philip V BaylyMechanical Engineering and Material Science, Washington University in St. Louis, United States; Biomedical Engineering, Washington University in St. Louis, United States. Electronic address: pvb@wustl.edu.
Washington University in St. Louis · USDartmouth College · USUniversity of Delaware · US

Funding

High-Resolution, Anisotropic MR Elastography of the BrainR01EB027577 · NIBIB · UNIVERSITY OF DELAWARE · PI BAYLY, PHILIP V, JOHNSON, CURTIS L · 2019 to 2022
$2.7M
NIBIB NIH HHS R01 EB027577
6 · The paper itself

Abstract

The relationship between brain development and mechanical properties of brain tissue is important, but remains incompletely understood, in part due to the challenges in measuring these properties longitudinally over time. In addition, white matter, which is composed of aligned, myelinated, axonal fibers, may be mechanically anisotropic. Here we use data from magnetic resonance elastography (MRE) and diffusion tensor imaging (DTI) to estimate anisotropic mechanical properties in six female Yucatan minipigs at ages from 3 to 6 months. Fiber direction was estimated from the principal axis of the diffusion tensor in each voxel. Harmonic shear waves in the brain were excited by three different configurations of a jaw actuator and measured using a motion-sensitive MR imaging sequence. Anisotropic mechanical properties are estimated from displacement field and fiber direction data with a finite element- based, transversely-isotropic nonlinear inversion (TI-NLI) algorithm. TI-NLI finds spatially resolved TI material properties that minimize the error between measured and simulated displacement fields. Maps of anisotropic mechanical properties in the minipig brain were generated for each animal at all four ages. These maps show that white matter is more dissipative and anisotropic than gray matter, and reveal significant effects of brain development on brain stiffness and structural anisotropy. Changes in brain mechanical properties may be a fundamental biophysical signature of brain development.

Indexed as

Diffusion Tensor ImagingElasticity Imaging TechniquesAnimalsAnisotropyBrainFemaleSwineSwine, MiniatureAnisotropyBrain developmentDiffusion tensor imagingMagnetic resonance elastographyStiffness

Identifiers

PMID37369255
PMCPMC11081136
OpenAlexW4381988569

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.