Indiana University-Purdue University Indianapolis (IUPUI) / Advances in peripheral nerve electrode technology have outpaced the advances in chronic implantation reliability of the electrodes. An observable trend is the increased deposition of fibrotic encapsulation tissue around the electrode to shift its position away from the implantation site and subsequently reducing performance. A finite element model (FEM) is developed in conjunction with tensile testing and digital image correlation of strain to understand the relationship between cuff electrode attachment and the strain environment of the nerve. A laminar and bulk nerve model are both developed with material properties found in literature and geometry found from performing histology. The introduction of a cuff electrode to an axially stretched nerve indicates a significant behavior deviation from the expected response of the axial strain environment. When implemented in ex-vivo tensile testing, results indicate that the reduction of strain is statistically significant but becomes much more apparent when paired with a digital image correlation system to compare predicted and measured effects. A robust FEM is developed and tested to emphasize the effect that the boundary conditions and attachment methodology significantly effects the strain environment. By coupling digital image correlation with FEM, predictive models can be made to the strain environment to better design around the long term chronic health of the implant.

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<p>Traumatic brain injury (TBI) is characterized by a violent or sudden blow to the head that causes tearing or bruising of the brain tissue and its supporting blood vessels. Determination of the mechanical properties of gray and white matter is critical for the creation of computational models of healthy and TBI-damaged brain tissues. Current in vivo methods to characterize brain tissue, such as 3D amplified MRI (aMRI) and magnetic resonance elastography (MRE), are highly vulnerable to motion artifacts and have limited techniques to exert mechanical loads on the brain. Therefore, in vitro testing was employed to estimate the chemical composition of gray and white matter using Fourier Transform Infrared (FTIR) spectroscopy and the stress responses of the brain tissues to high compressive deformations via unconfined compression. Attenuated total reflectance (ATR) was run in conjunction with FTIR spectroscopy to eliminate the need for sample preparation. Unconfined compression of gray and white matter samples was performed to 70% of the total sample height at a constant strain rate of 0.35/s. Results showed significant increases in the absorbances of white matter (<em>p</em> < 0.05) in the characteristic lipid and carbohydrate regions of the FTIR spectra when compared to gray matter. Within the initial 10% toe-region of the stress-strain curve, white matter is observed to absorb significantly greater compressive loads (<em>p </em>< 0.05) than gray matter. These results indicate an incomplete characterization of brain tissue; therefore, additional in vitro and in vivo methods are still necessary, separately or in combination, to accurately characterize brain tissue mechanics in TBI and non-TBI patients.</p>

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