PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
May 18, 2026Journal of the mechanical behavior of biomedical materials/Journal of mechanical behavior of biomedical materials0 citationsOpen Access

Combining quasi-static and high frequency experiments for the viscoelastic characterization of porcine brain tissue

View Full Paper
LRLaura RuhlandNRNina ReiterSBSilvia Budday

Key Points

  • To achieve a precise mechanical characterization of porcine brain tissue by integrating experimental responses from different time scales.
  • Combined ex vivo mechanical responses from porcine brain tissue across quasi-static and high frequency domains.
  • Utilized multi-modal large strain rheometer for quasi-static measurements and magnetic resonance elastography for high frequency assessments.
  • Calibrated a fractional Kelvin-Voigt model to unify responses from varying experimental techniques.
  • Mechanical behavior showed a transition from dominating elasticity in quasi-static domain to dominating viscosity at high frequencies.
  • Demonstrated consistent regional variations in viscoelastic behavior between the two experimental techniques.
  • Unified mechanical responses using a fractional Kelvin-Voigt model, enhancing the understanding of brain tissue mechanics through different time scales.

Abstract

Mechanical models of brain tissue are a beneficial tool to simulate neurosurgical interventions, disease progression, or brain development. However, the accuracy and predictive capacity of such a model relies on a precise experimental characterization of the tissue’s mechanical behavior. Such a characterization is yet limited by inconsistent or contradictory experimental responses reported in the literature, particularly when measurements are performed in different time or length scales. Although brain tissue has been extensively investigated in previous studies, the combination of experimental findings from different scales has received limited attention. In this study, we combine ex vivo mechanical responses of porcine brain tissue obtained at different time scales in a mechanical model. We investigated the mechanical behavior of three different brain regions in the quasi-static domain with multi-modal large strain rheometer measurements and at high frequencies with magnetic resonance elastography (MRE). A comparative analysis of the mechanical parameters obtained from both experimental techniques demonstrated consistent regional variations in the viscoelastic behavior across the two domains. However, the mechanical behavior changes from a dominating elasticity in the quasi-static and low frequency domain to a dominating viscosity at high frequencies. Based on the quasi-static and the high frequency behavior, we calibrated a fractional Kelvin-Voigt model and consequently unified the two responses in a single mechanical model to obtain a comprehensive characterization of the tissue’s mechanical behavior. • Porcine brain tissue was mechanically characterized using quasi-static large strain rheometer experiments and high-frequency tabletop MRE. • The results reveal a change from a dominating elasticity in the quasi-static and low frequency domain to a dominating viscosity at high frequencies. • We demonstrated that the fractional Kelvin-Voigt model with tow springpot elements can unify the mechanical responses in the different time scales.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Ruhland et al. (2026) studied this question.

synapsesocial.com/papers/6a0aabc25ba8ef6d83b6f77chttps://doi.org/10.1016/j.jmbbm.2026.107462
Ask AI
Helpful
Bookmark
Share
View Full Paper