The Large Shear Strain Dynamic Behavior of In-Vitro Porcine Brain Tissue and  a Silicone Gel Model Material

Brands, Dwa Dave; Bovendeerd, Phm Peter; Peters, Gwm Gerrit; Wismans, Jac

doi:10.4271/2000-01-sc17

Cited by 48 publications

(56 citation statements)

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“…Some researchers tested specimens within a few hours of post-mortem. 2,4,33,41 Meanwhile, other researchers claimed that specimens could be tested within days. 7,10,36,38,39 For this study, unconfined compression experiments on porcine specimens were consistently completed within 3 h after killing.…”

Section: Limitations Of the Studymentioning

confidence: 98%

The Influence of Strain Rate Dependency on the Structure–Property Relations of Porcine Brain

et al. 2010

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This study examines the internal microstructure evolution of porcine brain during mechanical deformation. Strain rate dependency of porcine brain was investigated under quasi-static compression for strain rates of 0.00625, 0.025, and 0.10 s(-1). Confocal microscopy was employed at 15, 30, and 40% strain to quantify microstructural changes, and image analysis was implemented to calculate the area fraction of neurons and glial cells. The nonlinear stress-strain behavior exhibited a viscoelastic response from the strain rate sensitivity observed, and image analysis revealed that the mean area fraction of neurons and glial cells increased according to the applied strain level and strain rate. The area fraction for the undamaged state was 7.85 ± 0.07%, but at 40% strain the values were 11.55 ± 0.35%, 13.30 ± 0.28%, and 19.50 ± 0.14% for respective strain rates of 0.00625, 0.025, and 0.10 s(-1). The increased area fractions were a function of the applied strain rate and were attributed to the compaction of neural constituents and the stiffening tissue response. The microstructural variations in the tissue were linked to mechanical properties at progressive levels of compression in order to generate structure-property relationships useful for refining current FE material models.

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Section: Limitations Of the Studymentioning

confidence: 98%

The Influence of Strain Rate Dependency on the Structure–Property Relations of Porcine Brain

et al. 2010

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“…formation slows diffusion and mobility of the polymer chains, gel properties do not stabilise for another 9 h [30]. The strength of the gels varies non-linearly with chitosan concentration and ranges from 67 to 1572 Pa. Because the lower concentrations are of similar stiffness to brain tissue [31][32][33] they are suitable in vitro approximations of brain tissue when implanted into the brain as a scaffold and for this reason 0.8 w/v% chitosan/GP was chosen as the composition most suited for use with neural cells (Fig. 3).…”

Section: Moduli (Pa)mentioning

confidence: 98%

“…3. Change in moduli with changing chitosan composition, compared to G* of rat [31], pig [32] and human brain [33]. formation slows diffusion and mobility of the polymer chains, gel properties do not stabilise for another 9 h [30].…”

Section: Moduli (Pa)mentioning

confidence: 99%

Polylysine-functionalised thermoresponsive chitosan hydrogel for neural tissue engineering

et al. 2007

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“…Correlation of pressures with temporary cavity in the time domain may also assist in characterising projectile dynamics. The research performed by Zhang et al, using a brain stimulant (Dow Corning Sylgard 527 A&B, Midland, MI, USA), a silicone dielectric gel, used as brain surrogate in blunt impact studies, the mechanical properties of which are similar to brain tissues, also demonstrating rate-sensitive properties, was designed to quantify temporary cavity dynamics with high-speed digital video images and dynamic pressure changes at various locations and correlate gel disruption with pressure change due to projectile penetration in geometrically appropriate models [40][41][42][43]. Experimental data were used to develop a validated FEM to further investigate penetrating traumatic brain injury biomechanics.…”

Section: Applicationsmentioning

confidence: 99%

Finite-element models of the human head and their applications in forensic practice

et al. 2008

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Since the 1960s, predictive human head impact indices have been developed to help the investigation of causation of human head injury. Finite-element models (FEM) can provide interesting tools for the forensic scientists when various human head injury mechanisms need to be evaluated. Human head FEMs are mainly used for car crash evaluations and are not in common use in forensic science. Recent technological progress has resulted in creating more simple tools, which will certainly help to consider the use of FEM in routine forensic practice in the coming years. This paper reviews the main FEMs developed and focuses on the models which can be used as predictive tools. Their possible applications in forensic medicine are discussed.

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The Large Shear Strain Dynamic Behavior of In-Vitro Porcine Brain Tissue and a Silicone Gel Model Material

Cited by 48 publications

References 0 publications

The Influence of Strain Rate Dependency on the Structure–Property Relations of Porcine Brain

The Influence of Strain Rate Dependency on the Structure–Property Relations of Porcine Brain

Polylysine-functionalised thermoresponsive chitosan hydrogel for neural tissue engineering

Finite-element models of the human head and their applications in forensic practice

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