ArticleJournal of the mechanical behavior of biomedical materials2018
Material properties of the brain in injury-relevant conditions - Experiments and computational modeling.
Article in Journal of the mechanical behavior of biomedical materials, 2018. 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.
- Mechanisms of inflammatory response in secondary brain injury: a review of computational approaches, challenges, and future directions.Biomechanics and modeling in mechanobiology · 2026Review
- Surface-based versus voxel-based finite element head models: comparative analyses of strain responses.Biomechanics and modeling in mechanobiology · 2025Article
- Effects of stress-dependent growth on evolution of sulcal direction and curvature in models of cortical folding.Brain multiphysics · 2023Article
- Use of Brain Biomechanical Models for Monitoring Impact Exposure in Contact Sports.Annals of biomedical engineering · 2022Review
- Concussion Prone Scenarios: A Multi-Dimensional Exploration in Impact Directions, Brain Morphology, and Network Architectures Using Computational Models.Annals of biomedical engineering · 2022Article
- Exponents of the one-term Ogden model: insights from simple shear.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2022Article
- Data-driven Uncertainty Quantification in Computational Human Head Models.Computer methods in applied mechanics and engineering · 2022Article
- Effective Viscoplastic-Softening Model Suitable for Brain Impact Modelling.Materials (Basel, Switzerland) · 2022Article
- Cerebral vascular strains in dynamic head impact using an upgraded model with brain material property heterogeneity.Journal of the mechanical behavior of biomedical materials · 2022Article
- Displacement Error Propagation From Embedded Markers to Brain Strain.Journal of biomechanical engineering · 2021Article
- MR Imaging of Human Brain Mechanics In Vivo: New Measurements to Facilitate the Development of Computational Models of Brain Injury.Annals of biomedical engineering · 2021Review
- Current state and progress of research on forensic biomechanics in China.Forensic sciences research · 2021Review
- Instantaneous Whole-Brain Strain Estimation in Dynamic Head Impact.Journal of neurotrauma · 2021Article
- The importance of modeling the human cerebral vasculature in blunt trauma.Biomedical engineering online · 2021Article
- A Machine Learning Approach to Investigate the Uncertainty of Tissue-Level Injury Metrics for Cerebral Contusion.Frontiers in bioengineering and biotechnology · 2021Article
- Standard-space atlas of the viscoelastic properties of the human brain.Human brain mapping · 2020Article
- A machine learning approach for magnetic resonance image-based mouse brain modeling and fast computation in controlled cortical impact.Medical & biological engineering & computing · 2020Article
- A network-based response feature matrix as a brain injury metric.Biomechanics and modeling in mechanobiology · 2020Article
- Displacement- and Strain-Based Discrimination of Head Injury Models across a Wide Range of Blunt Conditions.Annals of biomedical engineering · 2020Article
- Incorporation of vasculature in a head injury model lowers local mechanical strains in dynamic impact.Journal of biomechanics · 2020Article
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3 authors.
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Abstract
Material properties of the brain have been extensively studied but remain poorly characterized. The vast variations in constitutive models and material constants are well documented. However, no study exists to translate the variations into disparities in impact-induced brain strains most relevant to brain injury. Here, we reviewed a subset of injury-relevant brain material properties either characterized in experiments or adopted in recent head injury models. To highlight how variations in measured brain material properties manifested in simulated brain strains, we selected six experiments that have provided a complete set of brain material model and constants to implement a common head injury model. Responses resulting from two extreme events representing a high-rate cadaveric head impact and a low-rate in vivo head rotation, respectively, varied substantially. We hypothesized, and further confirmed, that the time-varying shear moduli at the appropriate time scales (e.g., ~5 ms and ~40 ms corresponding to the impulse durations of the major acceleration peaks for the two impacts, respectively), rather than the initial or long-term shear moduli, were the most indicative of impact-induced brain strains. These results underscored the need to implement measured brain material properties into an actual head injury model for evaluation. They may also provide guidelines to better characterize brain material properties in future experiments and head injury models. Finally, our finding provided a practical solution to satisfy head injury model validation requirements at both ends of the impact severity spectrum. This would improve the confidence in model simulation performance across a range of time scales relevant to concussion and sub-concussion in the real-world.
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