ArticleJournal of the mechanical behavior of biomedical materials2017
Characterizing white matter tissue in large strain via asymmetric indentation and inverse finite element modeling.
Article in Journal of the mechanical behavior of biomedical materials, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
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Who cites it
26 citing papers in PubMed, 87 citations in OpenAlex.
- Mechanisms of inflammatory response in secondary brain injury: a review of computational approaches, challenges, and future directions.Biomechanics and modeling in mechanobiology · 2026Review
- Mechanical characterization of an incompressible, strain-hardening, transversely isotropic material.Acta biomaterialia · 2026Article
- Multiscale measurement of brain tissue and cell biomechanics using a mouse model.Biophysics reports · 2025Article
- Mechanical characterization of brain tissue: experimental techniques, human testing considerations, and perspectives.Acta biomaterialia · 2025Review
- A Comprehensive Analysis of Inconsistencies in the Brain's Conventional Ex Vivo Mechanical Experiments.Annals of biomedical engineering · 2025Review
- Article
- Region-Dependent Mechanical Properties of Human Brain Tissue Under Large Deformations Using Inverse Finite Element Modeling.Annals of biomedical engineering · 2024Article
- Toward understanding the brain tissue behavior due to preconditioning: an experimental study and RVE approach.Frontiers in bioengineering and biotechnology · 2024Article
- Poro-viscoelastic material parameter identification of brain tissue-mimicking hydrogels.Frontiers in bioengineering and biotechnology · 2023Article
- Anisotropy profoundly alters stress fields within contractile cells and cell aggregates.Biomechanics and modeling in mechanobiology · 2022Article
- Insights into Infusion-Based Targeted Drug Delivery in the Brain: Perspectives, Challenges and Opportunities.International journal of molecular sciences · 2022Review
- Development and Validation of a New Anisotropic Visco-Hyperelastic Human Head Finite Element Model Capable of Predicting Multiple Brain Injuries.Frontiers in bioengineering and biotechnology · 2022Article
- Analyzing Liver Surface Indentation for In Vivo Refinement of Tumor Location in Minimally Invasive Surgery.Annals of biomedical engineering · 2021Article
- Structural Anisotropy vs. Mechanical Anisotropy: The Contribution of Axonal Fibers to the Material Properties of Brain White Matter.Annals of biomedical engineering · 2021Article
- A Machine Learning Approach to Investigate the Uncertainty of Tissue-Level Injury Metrics for Cerebral Contusion.Frontiers in bioengineering and biotechnology · 2021Article
- Tension Strain-Softening and Compression Strain-Stiffening Behavior of Brain White Matter.Annals of biomedical engineering · 2021Article
- Visco-hyperelastic characterization of human brain white matter micro-level constituents in different strain rates.Medical & biological engineering & computing · 2020Article
- A pilot in silico modeling-based study of the pathological effects on the biomechanical function of tricuspid valves.International journal for numerical methods in biomedical engineering · 2020Article
- A Non-Linear Model of an All-Elastomer, in-Plane, Capacitive, Tactile Sensor Under the Application of Normal Forces.Sensors (Basel, Switzerland) · 2018Article
- Material properties of the brain in injury-relevant conditions - Experiments and computational modeling.Journal of the mechanical behavior of biomedical materials · 2018Article
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 2 countries.
Funding
Abstract
Characterizing the mechanical properties of white matter is important to understand and model brain development and injury. With embedded aligned axonal fibers, white matter is typically modeled as a transversely isotropic material. However, most studies characterize the white matter tissue using models with a single anisotropic invariant or in a small-strain regime. In this study, we combined a single experimental procedure - asymmetric indentation - with inverse finite element (FE) modeling to estimate the nearly incompressible transversely isotropic material parameters of white matter. A minimal form comprising three parameters was employed to simulate indentation responses in the large-strain regime. The parameters were estimated using a global optimization procedure based on a genetic algorithm (GA). Experimental data from two indentation configurations of porcine white matter, parallel and perpendicular to the axonal fiber direction, were utilized to estimate model parameters. Results in this study confirmed a strong mechanical anisotropy of white matter in large strain. Further, our results suggested that both indentation configurations are needed to estimate the parameters with sufficient accuracy, and that the indenter-sample friction is important. Finally, we also showed that the estimated parameters were consistent with those previously obtained via a trial-and-error forward FE method in the small-strain regime. These findings are useful in modeling and parameterization of white matter, especially under large deformation, and demonstrate the potential of the proposed asymmetric indentation technique to characterize other soft biological tissues with transversely isotropic properties.
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