Comparison of in vivo and ex vivo viscoelastic behavior of the spinal cord. (1st March 2018)

• Record Type: Journal Article
• Authors: Ramo, Nicole L.; Shetye, Snehal S.; Streijger, Femke; Lee, Jae H.T.; Troyer, Kevin L.; Kwon, Brian K.; Cripton, Peter; Puttlitz, Christian M.
• Is Part Of: Acta biomaterialia. Volume 68(2018)
• Page Start: 78
• Page End: 89
• Publication Date: 2018-03-01
• Subjects: Spinal cord -- Viscoelasticity -- In vivo -- Constitutive modeling; Biomedical materials -- Periodicals; 610.28
• DOI: 10.1016/j.actbio.2017.12.024
• Languages: English
• ISSNs: 1742-7061

Abstract

Graphical abstract: Abstract: Despite efforts to simulate the in vivo environment, post-mortem degradation and lack of blood perfusion complicate the use of ex vivo derived material models in computational studies of spinal cord injury. In order to quantify the mechanical changes that manifest ex vivo, the viscoelastic behavior of in vivo and ex vivo porcine spinal cord samples were compared. Stress-relaxation data from each condition were fit to a non-linear viscoelastic model using a novel characterization technique called the direct fit method . To validate the presented material models, the parameters obtained for each condition were used to predict the respective dynamic cyclic response. Both ex vivo and in vivo samples displayed non-linear viscoelastic behavior with a significant increase in relaxation with applied strain. However, at all three strain magnitudes compared, ex vivo samples experienced a higher stress and greater relaxation than in vivo samples. Significant differences between model parameters also showed distinct relaxation behaviors, especially in non-linear relaxation modulus components associated with the short-term response (0.1–1 s). The results of this study underscore the necessity of utilizing material models developed from in vivo experimental data for studies of spinal cord injury, where the time-dependent properties are critical. The ability of each material model to accurately predict the dynamic cyclic response validates the presented methodology and supports the use of the in vivo model in future high-resolution finite element modeling efforts. Statement of Significance: Neural tissues (such as the brain and spinal cord) display time-dependent, or viscoelastic, mechanical behavior making it difficult to model how they respond to various loading conditions, including injury. Methods that aim to characterize the behavior of the spinal cord almost exclusively use ex vivo cadaveric or animal samples, despite evidence that time after death affects the behavior compared to that in a living animal ( in vivo response). Therefore, this study directly compared the mechanical response of ex vivo and in vivo samples to quantify these differences for the first time. This will allow researchers to draw more accurate conclusions about spinal cord injuries based on ex vivo data (which are easier to obtain) and emphasizes the importance of future in vivo experimental animal work.