ArticleMedical & biological engineering & computing2020
Visco-hyperelastic characterization of human brain white matter micro-level constituents in different strain rates.
Article in Medical & biological engineering & computing, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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7 citing papers in PubMed, 26 citations in OpenAlex.
- An MRI-derived head-neck finite element model.Biomechanics and modeling in mechanobiology · 2025Article
- A Comprehensive Analysis of Inconsistencies in the Brain's Conventional Ex Vivo Mechanical Experiments.Annals of biomedical engineering · 2025Review
- Visco-hyperelastic material model fitting to experimental stress-strain curves using a genetic algorithm and its application to soft tissue simulants.Scientific reports · 2024Article
- Modal Analysis of the Human Brain Using Dynamic Mode Decomposition.Bioengineering (Basel, Switzerland) · 2024Article
- Histology-informed multiscale modeling of human brain white matter.Scientific reports · 2023Article
- Cerebral Vasculature Influences Blast-Induced Biomechanical Responses of Human Brain Tissue.Frontiers in bioengineering and biotechnology · 2021Article
- Exploring the Biomechanical Properties of the Human CorneaFrontiers in bioengineering and biotechnology · 2021Article
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Authors and funding
5 authors at 2 institutions in 1 country.
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Abstract
In this study, we propose a computational characterization technique for obtaining the material properties of axons and extracellular matrix (ECM) in human brain white matter. To account for the dynamic behavior of the brain tissue, data from time-dependent relaxation tests of human brain white matter in different strain rates are extracted and formulated by a visco-hyperelastic constitutive model consisting of the Ogden hyperelastic model and the Prony series expansion. Through micromechanical finite element simulation, a derivative-free optimization framework designed to minimize the difference between the numerical and experimental data is used to identify the material properties of the axons and ECM. The Prony series expansion parameters of axons and ECM are found to be highly affected by the Prony series expansion coefficients of the brain white matter. The optimal parameters of axons and ECM are verified through micromechanical simulation by comparing the averaged numerical response with that of the experimental data. Moreover, the initial shear modulus and the reduced shear modulus of the axons are found for different strain rates of 0.0001, 0.01, and 1 s
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