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A three-dimensional micromechanical model of brain white matter with histology-informed probabilistic distribution of axonal fibers
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A three-dimensional micromechanical model of brain white matter with histology-informed probabilistic distribution of axonal fibers

Yousefsani, S. A

A three-dimensional micromechanical model of brain white matter with histology-informed probabilistic distribution of axonal fibers

Yousefsani, S. A ; Sharif University of Technology | 2018

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  1. Type of Document: Article
  2. DOI: 10.1016/j.jmbbm.2018.08.042
  3. Publisher: Elsevier Ltd , 2018
  4. Abstract:
  5. This paper presents a three-dimensional micromechanical model of brain white matter tissue as a transversely isotropic soft composite described by the generalized Ogden hyperelastic model. The embedded element technique, with corrected stiffness redundancy in large deformations, was used for the embedment of a histology-informed probabilistic distribution of the axonal fibers in the extracellular matrix. The model was linked to a multi-objective, multi-parametric optimization algorithm, using the response surface methodology, for characterization of material properties of the axonal fibers and extracellular matrix in an inverse finite element analysis. The optimum hyperelastic characteristics of the tissue constituents, obtained based on the axonal and transverse direction test results of the corona radiata tissue samples, indicated that the axonal fibers were almost thirteen times stiffer than the extracellular matrix under large deformations. Simulation of the same tissue under a different loading condition, as well as that of another white matter tissue, i.e., the corpus callosum, in the axonal and transverse directions, using the optimized hyperelastic characteristics revealed tissue responses very close to those of the experiments. The results of the model at the sub-tissue level indicated that the stress concentrations were considerably large around the small axons, which might contribute into the brain injury. © 2018 Elsevier Ltd
  6. Keywords:
  7. Embedded element technique ; Hyperelastic characterization ; Large deformation ; Multi-objective optimization ; Composite micromechanics ; Deformation ; Elasticity ; Fibers ; Histology ; Inverse problems ; Multiobjective optimization ; Probability distributions ; Stiffness matrix ; Embedded element ; Extracellular matrices ; Hyper elastic ; Inverse finite element analysis ; Micro-mechanical modeling ; Multi-parametric optimizations ; Probabilistic distribution ; Response surface methodology ; Tissue ; Article ; Axon ; Brain histology ; Brain injury ; Comparative study ; Corpus callosum ; Extracellular matrix ; Finite element analysis ; Hydrostatic pressure ; Prediction ; Priority journal ; Response surface method ; Tissue level ; White matter ; Young modulus
  8. Source: Journal of the Mechanical Behavior of Biomedical Materials ; Volume 88 , 2018 , Pages 288-295 ; 17516161 (ISSN)
  9. URL: https://www.sciencedirect.com/science/article/pii/S1751616118307975?via%3Dihub