Evidence map›Paper›PMID 29754046›Full record

ArticleJournal of the mechanical behavior of biomedical materials2018

Brain stiffens post mortem.

J Weickenmeier, M Kurt, E Ozkaya, R de Rooij, T C Ovaert, R L Ehman, K Butts Pauly, E Kuhl

Open access · hybridAbstract read
In one paragraph

Article in Journal of the mechanical behavior of biomedical materials, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed
9.7field-weighted citation impact, top 1% 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

44 citing papers in PubMed, 101 citations in OpenAlex.

  1. Forensic tissue mechanics of diabetes mellitus-related brain induration.Forensic science, medicine, and pathology · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Understanding Glioblastoma Dynamics Using 3D Organoids and Engineered Extracellular Matrix.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. Brillouin microscopy in cancer research: a review.Journal of biomedical optics · 2025
    Review
  10. Article
  11. Article
  12. Review
  13. Review
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Myelination dictates axonal viscoelasticity.The European journal of neuroscience · 2023
    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

8 authors at 4 institutions in 1 country.

J WeickenmeierDepartment of Mechanical Engineering, Stanford University, Stanford, CA 94305, USA; Department of Mechanical Engineering, Stevens Institute of Technology, Hoboken, NJ 07030, USA.
M KurtDepartment of Mechanical Engineering, Stevens Institute of Technology, Hoboken, NJ 07030, USA.
E OzkayaDepartment of Mechanical Engineering, Stevens Institute of Technology, Hoboken, NJ 07030, USA.
R de RooijDepartment of Mechanical Engineering, Stanford University, Stanford, CA 94305, USA.
T C OvaertDepartment of Aerospace and Mechanical Engineering, University of Notre Dame, Notre Dame, IN 46556, USA.
R L EhmanDepartment of Radiology, Mayo Clinic, Rochester, MN 55905, USA.
K Butts PaulyDepartment of Radiology Stanford University Stanford, CA 94305, USA.
E KuhlDepartment of Mechanical Engineering, Stanford University, Stanford, CA 94305, USA. Electronic address: ekuhl@stanford.edu.
Stanford University · USStevens Institute of Technology · USMayo Clinic · USUniversity of Notre Dame · US

Funding

Magnetic Resonance ElastographyR37EB001981 · NIBIB · MAYO CLINIC ROCHESTER · PI EHMAN, RICHARD L. · 2016 to 2025
$4.0M
Magnetic Resonance ElastographyR01EB001981 · NIBIB · MAYO CLINIC ROCHESTER · PI EHMAN, RICHARD L. · 2003 to 2013
$3.1M
NIBIB NIH HHS R01 EB001981NIBIB NIH HHS R37 EB001981
6 · The paper itself

Abstract

Alterations in brain rheology are increasingly recognized as a diagnostic marker for various neurological conditions. Magnetic resonance elastography now allows us to assess brain rheology repeatably, reproducibly, and non-invasively in vivo. Recent elastography studies suggest that brain stiffness decreases one percent per year during normal aging, and is significantly reduced in Alzheimer's disease and multiple sclerosis. While existing studies successfully compare brain stiffnesses across different populations, they fail to provide insight into changes within the same brain. Here we characterize rheological alterations in one and the same brain under extreme metabolic changes: alive and dead. Strikingly, the storage and loss moduli of the cerebrum increased by 26% and 60% within only three minutes post mortem and continued to increase by 40% and 103% within 45 minutes. Immediate post mortem stiffening displayed pronounced regional variations; it was largest in the corpus callosum and smallest in the brainstem. We postulate that post mortem stiffening is a manifestation of alterations in polarization, oxidation, perfusion, and metabolism immediately after death. Our results suggest that the stiffness of our brain-unlike any other organ-is a dynamic property that is highly sensitive to the metabolic environment. Our findings emphasize the importance of characterizing brain tissue in vivo and question the relevance of ex vivo brain tissue testing as a whole. Knowing the true stiffness of the living brain has important consequences in diagnosing neurological conditions, planning neurosurgical procedures, and modeling the brain's response to high impact loading.

Indexed as

Mechanical PhenomenaAnimalsAutopsyBiomechanical PhenomenaBrainElasticityFemaleLinear ModelsMaterials TestingMyelin SheathRheologySwineViscosityBrainIn vivoMagnetic resonance elastographyRheologyStiffening

Identifiers

PMID29754046
PMCPMC6751406
OpenAlexW2800310166

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.