Evidence map›Paper›PMID 39649453›Full record

ArticleInterface focus2024

Model-driven exploration of poro-viscoelasticity in human brain tissue: be careful with the parameters!

Alexander Greiner, Nina Reiter, Jan Hinrichsen, Manuel P Kainz, Gerhard Sommer, Gerhard A Holzapfel, Paul Steinmann, Ester Comellas, Silvia Budday

Abstract read
In one paragraph

Article in Interface focus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Review
  6. Optimal experimental design for repeatable hyperelastic material characterization.Journal of the mechanical behavior of biomedical materials · 2025
    Article
  7. Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. The pulsing brain: part I.Interface focus · 2024
    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

9 authors.

Alexander GreinerDepartment of Mechanical Engineering, Institute of Continuum Mechanics and Biomechanics, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.
Nina ReiterDepartment of Mechanical Engineering, Institute of Continuum Mechanics and Biomechanics, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.
Jan HinrichsenDepartment of Mechanical Engineering, Institute of Continuum Mechanics and Biomechanics, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.
Manuel P KainzInstitute of Biomechanics, Graz University of Technology, Graz, Austria.
Gerhard SommerInstitute of Biomechanics, Graz University of Technology, Graz, Austria.
Gerhard A HolzapfelInstitute of Biomechanics, Graz University of Technology, Graz, Austria.ORCID https://orcid.org/0000-0001-8119-5775
Paul SteinmannDepartment of Mechanical Engineering, Institute of Applied Mechanics, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.
Ester ComellasSerra Húnter Fellow, Department of Physics, Universitat Politècnica de Catalunya, Barcelona, Spain.ORCID https://orcid.org/0000-0002-3981-2634
Silvia BuddayDepartment of Mechanical Engineering, Institute of Continuum Mechanics and Biomechanics, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.ORCID https://orcid.org/0000-0002-7072-8174

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The brain is arguably the most complex human organ and modelling its mechanical behaviour has challenged researchers for decades. There is still a lack of understanding on how this multiphase tissue responds to mechanical loading and how material parameters can be reliably calibrated. While previous viscoelastic models with two relaxation times have successfully captured the response of brain tissue, the Theory of Porous Media provides a continuum mechanical framework to explore the underlying physical mechanisms, including interactions between solid matrix and free-flowing interstitial fluid. Following our previously published experimental testing protocol, here we perform finite element simulations of cyclic compression-tension loading and compression-relaxation experiments on human brain white and gray matter specimens. The solid volumetric stress proves to be a crucial factor for the overall biphasic tissue behaviour as it strongly interferes with porous effects controlled by the permeability. An inverse parameter identification reveals that poroelasticity alone is insufficient to capture the time-dependent material behaviour, but a poro-viscoelastic formulation captures the response of brain tissue well. We provide valuable insights into the individual contributions of viscous and porous effects. However, due to the strong coupling between porous, viscous, and volumetric effects, additional experiments are required to reliably determine all material parameters.

Indexed as

constitutive modellinghuman braininverse parameter identificationpermeabilityporo-viscoelasticityTheory of Porous Media

Identifiers

PMID39649453
PMCPMC11620825

What OpenQuestion holds

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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.