Mechanical fidelity of brain tissue phantoms: A comparative experimental characterization of equilibrium and dissipative behavior
Elisa BaldoiniD, Manuel P. KainziD, Nicola PetroneiD, Piero G. PavaniD, Gerhard A. HolzapfeliD, Michele TerzanoiD
Abstract
Despite lacking a dedicated structural function, brain tissue is exposed to severe mechanical loading during accidents and trauma, with potentially permanent or lethal consequences. Therefore, characterizing its mechanical behavior assumes particular importance for designing protective equipment, planning surgeries, and training neurosurgeons, tasks that often rely on physical brain replicas made from phantom materials. Although the mechanics of brain tissue has been extensively studied, the selection of suitable phantom materials still relies on simplified metrics that fail to capture the highly nonlinear and rate-dependent behavior of the brain. In this work, we characterize the mechanical response at low-to-medium strain rates of common synthetic brain phantom materials, including Sylgard 527, Ecoflex Gel, and a composite hydrogel, and establish rigorous comparisons with porcine brain tissue as a benchmark. To this end, we employ a multi-step stress relaxation protocol under both uniaxial extension and compression across two different strain rates, introduce thermodynamic metrics, and perform comparisons based on rigorous statistical analysis. In particular, we isolate the thermodynamic equilibrium stress-strain curves, representing the baseline material's response, from rate-dependent dissipative inelastic effects, relatable to viscoelastic and poroelastic mechanisms. Our results provide a thorough comparison, revealing critical limitations in existing simulant materials and highlighting significant space for developing improved brain surrogates. The comprehensive dataset collected can also support the calibration of constitutive models, enhancing the predictive accuracy of numerical simulations involving brain tissue and its surrogates. More broadly, this study highlights the need to move beyond simplistic, scalar-metric-based comparisons of mechanical responses across materials.
02 /Specification & Classification
Click any tag to browse matching papers- Citations
- 0
- Research Focus
- Approach
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Characterization of mechanical tissue properties in post-mortem human brain using magnetic resonance elastography
Joy Mojumder, Yuan-Chiao Lu, … Dzung L. Pham·Journal of the mechanical behavior of biomedical materials/Journal of mechanical behavior of biomedical materialsPeer-reviewed·Dec 2, 2025
- Inverse identification of region-specific hyperelastic material parameters for human brain tissue
J. Hinrichsen, N. Reiter, … S. Budday·bioRxiv·Dec 19, 2022
- Fractional Anisotropy as a Surrogate Marker of Brain Mechanics
Stefan Rampp, Silvia Budday, … Arnd Doerfler·bioRxiv·Apr 13, 2026
- Development and Validation of Subject-Specific 3D Human Head Models Based on a Nonlinear Visco-Hyperelastic Constitutive Framework
K. Upadhyay, A. Alshareef, … K. T. Ramesh·bioRxiv·Oct 28, 2021
- Multi-Layer Brain-Mimicking Phantom for Replicating Dura and Pia Membrane Dimpling and Rupture Properties During Neural Interface Implantation
Dongyang Yi, Kevin Igmidio E. Lat, Lei Chen·Frontiers in NeurologyPeer-reviewed·Jul 14, 2026
- Towards patient-specific biomechanical human brain models
Nicole Tueni, Benedikt Rauh, … Silvia Budday·bioRxiv·Apr 17, 2026