PEER-REVIEWED PUBLICATION

2025

Towards Determining Mechanical Properties of Brain–Skull Interface Under Tension and Compression

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Arzemanzadeh S, Zwick B, et al.

Computational Biomechanics for Medicine (Springer)

The University of Western Australia, Perron Institute for Neurological and Translational Science

RESEARCH SUMMARY
This study establishes a new experimental–computational framework to quantify the mechanical behavior of the brain–skull interface under controlled uniaxial tension and compression. Sheep cadaver heads were dissected to extract intact brain–skull complex samples preserving meninges, cerebrospinal fluid space, arachnoid trabeculae, and cortical structures. High-resolution 3D geometry was captured through T2-weighted MRI and converted into fully hexahedral finite element meshes for subject-specific analysis. Using tensile and compressive loading, the authors demonstrated non-symmetric mechanical behavior: the brain–skull interface exhibited clear mechanical failure under tension, with delamination occurring between arachnoid barrier cells and the pia–arachnoid complex, while no obvious failure occurred under compression. Subject-specific Ogden hyperelastic parameters for brain tissue were calibrated from tension and compression data (μ ≈ 1200 Pa, α ≈ –6.3). Finite element simulations matched the experimental force–displacement curves with high fidelity, revealing limitations in commonly used modeling assumptions such as rigid tie constraints or frictionless sliding. The results highlight the need for improved constitutive and interface models in computational head simulations used for neurosurgical planning and traumatic brain injury prediction.
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CELLSCALE INSTRUMENT USED

UniVert

Uniaxial tension and compression tests on brain tissue and brain–skull complex samples were conducted using a CellScale UniVert mechanical testing system equipped with a 10 N load cell. The UniVert applied displacement-controlled loading at 0.3 mm/s while recording force and displacement at 100 Hz. Brain tissue samples were glued to the lower platen, and brain–skull complex samples were mounted by bonding the skull surface to the platen. Tensile tests required adhesion of the ventral surface to the loading head, while compressive tests used sandpaper-enhanced no-slip contact. UniVert data were used to calibrate Ogden hyperelastic material parameters, quantify interface rupture events, and validate finite element simulations of the mechanical response of the brain–skull interface.
AUTHORS

Sajjad Arzemanzadeh, Benjamin Zwick, Karol Miller, Tim Rosenow, Stuart I. Hodgetts, Adam Wittek.

PUBLICATION DETAILS
JOURNAL

Computational Biomechanics for Medicine (Springer)

YEAR

2025

INSTITUTIONS

The University of Western Australia, Perron Institute for Neurological and Translational Science

COUNTRIES

Australia

INSTRUMENT USED

UniVert

TESTING METHODS

Compression TestingTensile Testing

RESEARCH APPLICATIONS

Neural Tissue & CNS Mechanics

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