Rate-dependent constitutive modeling of brain tissue

Hosseini-Farid, Mohammad; Ramzanpour, Mohammadreza; McLean, Jayse; Ziejewski, Mariusz; Karami, G.

doi:10.1007/s10237-019-01236-z

Cited by 10 publications

(3 citation statements)

References 46 publications

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“…CCFA experiments offer a robust, fast, and repeatable testing method for evaluating mechanical properties of soft tissue, with the advantage of minimal sample preparation and multiple tests on one sample. Neurospheres were tested under a wide frequency range and the results indicate a rate‐dependent behavior with stiffening at higher frequencies, which is in alignment with previous studies on bovine [ 49–51 ] , porcine, [ 46,52 ] and human tissue. [ 36,43 ] This contribution introduced the key features of the experimental and mathematical modeling procedures for characterizing the rate‐dependent behavior of the in vitro tissues.…”

Section: Discussionsupporting

confidence: 84%

The Mechanical Properties of Neurospheres

Okwara

Ghaemi

et al. 2021

Adv Eng Mater

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Stem cell‐derived 3D tissues such as spheroids are excellent models for investigating mechanisms of tissue formation and responses to physiological and mechanical cues. Neuronal spheroids, also known as neurospheres, have attracted particular interest. A lot is now known about the differentiation and maturation of neurospheres, as well as their responses to biochemical cues. However, understanding about their mechanical properties pales in comparison, which is all the more galling in light of newfound insights about how mechanical stimuli trigger the onset of neurodegenerative conditions. Herein, formative steps are taken to fill this knowledge gap. Neurospheres are generated from murine neural stem cells and are subjected to compressive forces. It is observed that neurospheres exhibit stress relaxation under static compression and viscoelastic behavior at low strains. The suitability of the Tatara model for characterizing the mechanical properties of neurospheres is also evaluated. The study is the first study of its kind to investigate the mechanical properties of in vitro 3D tissues. Moreover, the methodologies developed in the study can also be used to improve the quality and safety of cell and tissue biomanufacturing processes.

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Section: Discussionsupporting

confidence: 84%

The Mechanical Properties of Neurospheres

Okwara

Ghaemi

et al. 2021

Adv Eng Mater

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“…Relaxation test is one of the most common types of tests used for characterizing the time-dependent behavior of soft materials [38][39][40]. Soft materials such as brain exhibit timevarying stiffness when being held under specific deformation for a period of time.…”

Section: Materials Constitutive Modelingmentioning

confidence: 99%

Visco-hyperelastic characterization of human brain white matter micro-level constituents in different strain rates

Ramzanpour

Hosseini-Farid

McLean

et al. 2020

Med Biol Eng Comput

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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 timedependent relaxation tests of human brain white matter in different strain rates are extracted and formulated by a viscohyperelastic 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.

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“…Mechanical properties of brain tissue are a fundamental subject of biomechanics and have been extensively studied in the last few decades [3,14,15]. It has been shown that the mechanical behavior of the brain is dominated by the loading rate and varies nonlinearly with any change in strain, as well as with its strain rate [16][17][18][19][20]. Typically, soft biological materials such as brain and brainstem present complex mechanical responses characterized by large strains, load history, and rate sensitivity [21][22][23][24][25][26].…”

Section: Introductionmentioning

confidence: 99%

The Strain Rates in the Brain, Brainstem, Dura, and Skull under Dynamic Loadings

Hosseini-Farid

Amiri-Tehrani-Zadeh

Ramzanpour

et al. 2020

MCA

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Knowing the precise material properties of intracranial head organs is crucial for studying the biomechanics of head injury. It has been shown that these biological tissues are significantly rate-dependent; hence, their material properties should be determined with respect to the range of deformation rate they experience. In this paper, a validated finite element human head model is used to investigate the biomechanics of the head in impact and blast, leading to traumatic brain injuries (TBI). We simulate the head under various directions and velocities of impacts, as well as helmeted and unhelmeted head under blast shock waves. It is demonstrated that the strain rates for the brain are in the range of 36 to 241 s −1 , approximately 1.9 and 0.86 times the resulting head acceleration under impacts and blast scenarios, respectively. The skull was found to experience a rate in the range of 14 to 182 s −1 , approximately 0.7 and 0.43 times the head acceleration corresponding to impact and blast cases. The results of these incident simulations indicate that the strain rates for brainstem and dura mater are respectively in the range of 15 to 338 and 8 to 149 s −1 . These findings provide a good insight into characterizing the brain tissue, cranial bone, brainstem and dura mater, and also selecting material properties in advance for computational dynamical studies of the human head.

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Rate-dependent constitutive modeling of brain tissue

Cited by 10 publications

References 46 publications

The Mechanical Properties of Neurospheres

The Mechanical Properties of Neurospheres

Visco-hyperelastic characterization of human brain white matter micro-level constituents in different strain rates

The Strain Rates in the Brain, Brainstem, Dura, and Skull under Dynamic Loadings

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