Visco-hyperelastic characterization of human brain white matter micro-level constituents in different strain rates.
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 matt...
| Published in: | Medical & Biological Engineering & Computing Vol. 58; no. 9; pp. 2107 - 2119 |
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| Main Authors: | , , , , |
| Format: | equations & formulas pictorial research tables/charts Journal Article |
| Published: |
Springer Nature
Sep2020
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=145048088&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 145048088 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: Sep2020 vid: 58 iid: 9 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 145048088 145048088 145215095 NLM32671675 145048088 10.1007/s11517-020-02228-3 NLM32671675 145048088 ppf: 2107 ppct: 12 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Visco-hyperelastic characterization of human brain white matter micro-level constituents in different strain rates. aug: au: Ramzanpour, Mohammadreza Hosseini-Farid, Mohammad McLean, Jayse Ziejewski, Mariusz Karami, Ghodrat affil: Department of Mechanical Engineering, North Dakota State University, Fargo, ND, USA sug: subj: Brain Physiology Biomedical Engineering Extracellular Space Finite Element Analysis Kinematics Nerve Fibers Physiology Elasticity Models, Biological Animals Stress, Mechanical Brain Anatomy and Histology Computer Simulation Nerve Fibers Viscosity Extracellular Space Physiology ab: 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-1. Consequently, first- and second-order regressions are used to find relations for the prediction of the shear modulus at the intermediate strain rates. Graphical Abstract The applied procedure for characterization of brain white matter micro-level constituents. The macro-level experimental data in different strain rates are used in the context of simulation-based optimization to obtain the properties of axons and extracellular matrix material. pubtype: Academic Journal doctype: equations & formulas pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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