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Effect of Tissue Material Properties in Blast Loading: Coupled Experimentation and Finite Element Simulation

  • State-of-the-Art Modeling and Simulation of the Brain's Response to Mechanical Loads
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Abstract

Computational models of blast-induced traumatic brain injury (bTBI) require a robust definition of the material models of the brain. The mechanical constitutive models of these tissues are difficult to characterize, leading to a wide range of values reported in literature. Therefore, the sensitivity of the intracranial pressure (ICP) and maximum principal strain to variations in the material model of the brain was investigated through a combined computational and experimental approach. A finite element model of a rat was created to simulate a shock wave exposure, guided by the experimental measurements of rats subjected to shock loading conditions corresponding to that of mild traumatic brain injury in a field-validated shock tube. In the numerical model, the properties of the brain were parametrically varied. A comparison of the ICP measured at two locations revealed that experimental and simulated ICP were higher in the cerebellum (p < 0.0001), highlighting the significance of pressure sensor locations within the cranium. The ICP and strain were correlated with the long-term bulk (p < 0.0001) and shear moduli (p < 0.0001), with an 80 MPa effective bulk modulus value matching best with experimental measurements. In bTBI, the solution is sensitive to the brain material model, necessitating robust validation methods.

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References

  1. Baumgartner, D., M. Lamy, R. Willinger, P. Choquet, C. Goetz, A. Constantinesco, and J. Davidsson. Finite element analysis of traumatic brain injuries mechanisms in the rat. In: IRCOBI Conference, 2009, pp. 97–108.

  2. Bilston, L. E., Z. Liu, and N. Phan-Thien. Linear viscoelastic properties of bovine brain tissue in shear. Biorheology 34(6):377–385, 1997. https://doi.org/10.1016/S0006-355X(98)00022-5.

    Article  CAS  PubMed  Google Scholar 

  3. Cernak, I., Z. Wang, J. Jiang, X. Bian, and J. Savic. Ultrastructural and functional characteristics of blast injury-induced neurotrauma. J. Trauma 50:695–706, 2001.

    Article  CAS  PubMed  Google Scholar 

  4. Chafi, M. S., G. Karami, and M. Ziejewski. Biomechanical assessment of brain dynamic responses due to blast pressure waves. Ann. Biomed. Eng. 38(2):490–504, 2010. https://doi.org/10.1007/s10439-009-9813-z.

    Article  CAS  PubMed  Google Scholar 

  5. Chandra, N., S. Ganpule, N. N. Kleinschmit, R. Feng, A. D. Holmberg, A. Sundaramurthy, V. Selvan, and A. Alai. Evolution of blast wave profiles in simulated air blasts: experiment and computational modeling. Shock Waves 22(5):403–415, 2012. https://doi.org/10.1007/s00193-012-0399-2.

    Article  Google Scholar 

  6. Chandra, N., A. Sundaramurthy, and R. K. Gupta. Validation of laboratory animal and surrogate human models in primary blast injury studies. Mil. Med. 182:105–113, 2017. https://doi.org/10.7205/MILMED-D-16-00144.

    Article  PubMed  Google Scholar 

  7. Chatelin, S., C. Deck, and R. Willinger. An anisotropic viscous hyperelastic constitutive law for brain material finite-element modeling. J. Biorheol. 27:26–37, 2013. https://doi.org/10.1007/s12573-012-0055-6.

    Article  Google Scholar 

  8. Clemedson, C. J. Shock wave transmission to the central nervous system. Acta Physiol. Scand. 37(2–3):204–214, 1956. https://doi.org/10.1111/j.1748-1716.1956.tb01356.x.

    Article  CAS  PubMed  Google Scholar 

  9. de Rooij, R., and E. Kuhl. Constitutive modeling of brain tissue: current perspectives. Appl. Mech. Rev. 68(1):010801–010801-16, 2016. https://doi.org/10.1115/1.4032436.

    Article  Google Scholar 

  10. Defense and Veterans Brain Injury Center. DoD Numbers for Traumatic Brain Injury. Silver Spring: Defense and Veterans Brain Injury Center, pp. 1–5, 2013.

    Google Scholar 

  11. Elkin, B. S., A. I. Ilankovan, and B. Morrison. Age-dependent regional mechanical properties of the rat hippocampus and cortex. J. Biomech. Eng. 132(1):011010, 2009. https://doi.org/10.1115/1.4000164.

    Article  Google Scholar 

  12. Fallenstein, G., V. Hulce, and J. Melvin. Dynamic mechanical properties of human brain tissue. J. Biomech. 2(3):217–226, 1969. https://doi.org/10.1016/0021-9290(69)90079-7.

    Article  CAS  PubMed  Google Scholar 

  13. Finan, J. D., B. S. Elkin, E. M. Pearson, I. L. Kalbian, and B. Morrison. Viscoelastic properties of the rat brain in the sagittal plane: effects of anatomical structure and age. Ann. Biomed. Eng. 40(1):70–78, 2012. https://doi.org/10.1007/s10439-011-0394-2.

    Article  PubMed  Google Scholar 

  14. Finan, J. D., S. N. Sundaresh, B. S. Elkin, G. M. McKhann, and B. Morrison. Regional mechanical properties of human brain tissue for computational models of traumatic brain injury. Acta Biomater. 55:333–339, 2017. https://doi.org/10.1016/j.actbio.2017.03.037.

    Article  PubMed  Google Scholar 

  15. Gadd, C. W., A. M. Nahum, D. C. Schneider, and R. G. Madeira. Tolerance and properties of superficial soft tissues in situ. SAE Techn. Pap. 1970. https://doi.org/10.4271/700910.

    Article  Google Scholar 

  16. Galford, J. E., and J. H. McElhaney. A viscoelastic study of scalp, brain, and dura. J. Biomech. 3(2):211–221, 1970. https://doi.org/10.1016/0021-9290(70)90007-2.

    Article  CAS  PubMed  Google Scholar 

  17. Ganpule, S., N. P. Daphalapurkar, M. P. Cetingul, and K. T. Ramesh. Effect of bulk modulus on deformation of the brain under rotational accelerations. Shock Waves 28(1):127–139, 2018. https://doi.org/10.1007/s00193-017-0791-z.

    Article  CAS  PubMed  Google Scholar 

  18. Gefen, A., N. Gefen, Q. Zhu, R. Raghupathi, and S. S. Margulies. Age-dependent changes in material properties of the brain and braincase of the rat. J. Neurotrauma 20(11):1163–1177, 2003. https://doi.org/10.1089/089771503770802853.

    Article  PubMed  Google Scholar 

  19. Grujicic, M., W. C. Bell, B. Pandurangan, and P. S. Glomski. Fluid/structure interaction computational investigation of blast-wave mitigation efficacy of the advanced combat helmet. J. Mater. Eng. Perform. 20(6):877–893, 2011. https://doi.org/10.1007/s11665-010-9724-z.

    Article  CAS  Google Scholar 

  20. Gupta, R. K., X. G. Tan, M. R. Somayaji, and A. J. Przekwas. Multiscale modelling of blast-induced TBI mechanobiology—from body to neuron to molecule. Def. Life Sci. J. 2(1):3–13, 2017. https://doi.org/10.14429/dlsj.2.10369.

    Article  Google Scholar 

  21. Hua, Y., P. Akula, M. Kelso, and L. Gu. Characterization of closed head impact injury in rat. Biomed Res. Int. 2015. https://doi.org/10.1155/2015/272976.

    Article  PubMed  PubMed Central  Google Scholar 

  22. Jean, A., M. K. Nyein, J. Q. Zheng, D. F. Moore, J. D. Joannopoulos, and R. Radovitzky. An animal-to-human scaling law for blast-induced traumatic brain injury risk assessment. Proc. Natl. Acad. Sci. 111(43):15310–15315, 2014. https://doi.org/10.1073/pnas.1415743111.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  23. Knutsen, A. K., E. Magrath, J. E. McEntee, F. Xing, J. L. Prince, P. V. Bayly, J. A. Butman, and D. L. Pham. Improved measurement of brain deformation during mild head acceleration using a novel tagged MRI sequence. J. Biomech. 47(14):3475–3481, 2014. https://doi.org/10.1016/j.jbiomech.2014.09.010.

    Article  PubMed  PubMed Central  Google Scholar 

  24. Kuriakose, M., M. Skotak, A. Misistia, S. Kahali, A. Sundaramurthy, and N. Chandra. Tailoring the blast exposure conditions in the shock tube for generating pure, primary shock waves: the end plate facilitates elimination of secondary loading of the specimen. PLoS ONE 11(9):e0161597, 2016. https://doi.org/10.1371/journal.pone.0161597.

    Article  CAS  Google Scholar 

  25. Mao, H., G. Unnikrishnan, V. Rakesh, and J. Reifman. Untangling the effect of head acceleration on brain responses to blast waves. J. Biomech. Eng. 137(12):124502, 2015. https://doi.org/10.1115/1.4031765.

    Article  PubMed  Google Scholar 

  26. Moore, D. F., A. Jérusalem, M. Nyein, L. Noels, M. S. Jaffee, and R. A. Radovitzky. Computational biology—modeling of primary blast effects on the central nervous system. Neuroimage 47:T10–T20, 2009. https://doi.org/10.1016/j.neuroimage.2009.02.019.

    Article  PubMed  Google Scholar 

  27. Moss, W. C., M. J. King, and E. G. Blackman. Skull flexure from blast waves: a mechanism for brain injury with implications for helmet design. Phys. Rev. Lett. 103(10):4–7, 2009. https://doi.org/10.1103/PhysRevLett.103.108702.

    Article  CAS  Google Scholar 

  28. Nyein, M. K., A. M. Jason, L. Yu, C. M. Pita, J. D. Joannopoulos, D. F. Moore, and R. A. Radovitzky. In silico investigation of intracranial blast mitigation with relevance to military traumatic brain injury. Proc. Natl. Acad. Sci. 107(48):20703–20708, 2010. https://doi.org/10.1073/pnas.1014786107.

    Article  PubMed  PubMed Central  Google Scholar 

  29. Prange, M. T., D. F. Meaney, and S. S. Margulies. Defining brain mechanical properties: effects of region, direction, and species. Stapp Car Crash J. 44:205–213, 2000.

    CAS  PubMed  Google Scholar 

  30. Przekwas, A., V. C. Chancey, X. G. Tan, Z. J. Chen, P. Wilkerson, A. Zhou, V. Harrand, C. Imielinska, and D. Reeves. Development of physics-based model and experimental validation of helmet performance in blast wave TBI. In: ASME 2009 Summer Bioengineering Conference (2009). https://doi.org/10.1115/sbc2009-206839.

  31. Qian, L., H. Zhao, Y. Guo, Y. Li, M. Zhou, L. Yang, Z. Wang, and Y. Sun. Influence of strain rate on indentation response of porcine brain. J. Mech. Behav. Biomed. Mater. 82:210–217, 2018. https://doi.org/10.1016/j.jmbbm.2018.03.031.

    Article  PubMed  Google Scholar 

  32. Rodríguez-Millán, M., L. B. Tan, K. M. Tse, H. P. Lee, and M. H. Miguélez. Effect of full helmet systems on human head responses under blast loading. Mater. Des. 117:58–71, 2017. https://doi.org/10.1016/j.matdes.2016.12.081.

    Article  CAS  Google Scholar 

  33. Ruan, J. S., T. Khalil, and A. I. King. Human head dynamic response to side impact by finite element modeling. J. Biomech. Eng. 113(3):276–283, 1991. https://doi.org/10.1115/1.2894885.

    Article  CAS  PubMed  Google Scholar 

  34. Sarvghad-Moghaddam, H., A. Rezaei, M. Ziejewski, and G. Karami. CFD modeling of the underwash effect of military helmets as a possible mechanism for blast-induced traumatic brain injury. Comput. Methods Biomech. Biomed. Eng. 20:16–26, 2016. https://doi.org/10.1080/10255842.2016.1193597.

    Article  Google Scholar 

  35. Singh, D., and D. S. Cronin. Efficacy of visor and helmet for blast protection assessed using a computational head model. Shock Waves 27:905–918, 2017. https://doi.org/10.1007/s00193-017-0732-x.

    Article  Google Scholar 

  36. Stalnaker, R. L. Mechanical Properties of the Head. Morgantown: West Virginia University, pp. 1–131, 1969.

    Google Scholar 

  37. Sundaramurthy, A., A. Alai, S. Ganpule, A. Holmberg, E. Plougonven, and N. Chandra. Blast-induced biomechanical loading of the rat: an experimental and anatomically accurate computational blast injury model. J. Neurotrauma 29(13):2352–2364, 2012. https://doi.org/10.1089/neu.2012.2413.

    Article  PubMed  Google Scholar 

  38. Tan, X. G., A. J. Przekwas, and R. K. Gupta. Computational modeling of blast wave interaction with a human body and assessment of traumatic brain injury. Shock Waves 27:889–904, 2017. https://doi.org/10.1007/s00193-017-0740-x.

    Article  Google Scholar 

  39. Taylor, P. A., and C. C. Ford. Simulation of blast-induced early-time intracranial wave physics leading to traumatic brain injury. J. Biomech. Eng. 131:061007, 2009. https://doi.org/10.1115/1.3118765.

    Article  PubMed  Google Scholar 

  40. Vappou, J., E. Breton, P. Choquet, R. Willinger, and A. Constantinesco. Assessment of in vivo and post-mortem mechanical behavior of brain tissue using magnetic resonance elastography. J. Biomech. 41(14):2954–2959, 2008. https://doi.org/10.1016/j.jbiomech.2008.07.034.

    Article  PubMed  Google Scholar 

  41. Ward, J. W., L. H. Montgomery, and S. L. Clark. A mechanism of concussion: a theory. Science 107:349–353, 1948. https://doi.org/10.1126/science.107.2779.349.

    Article  CAS  PubMed  Google Scholar 

  42. Zhang, L., R. Makwana, and S. Sharma. Brain response to primary blast wave using validated finite element models of human head and advanced combat helmet. Front. Neurol. 4:1–12, 2013. https://doi.org/10.3389/fneur.2013.00088.

    Article  Google Scholar 

  43. Zhang, J., N. Yoganandan, F. A. Pintar, T. A. Gennarelli, and B. S. Shender. A finite element study of blast traumatic brain injury. Biomed. Sci. Instrum. 45:119–124, 2009.

    PubMed  Google Scholar 

  44. Zhu, F., A. Kalra, T. Saif, Z. Yang, K. H. Yang, and A. I. King. Parametric analysis of the biomechanical response of head subjected to the primary blast loading—a data mining approach. Comput. Methods Biomech. Biomed. Engin. 19(10):1053–1059, 2015. https://doi.org/10.1080/10255842.2015.1091887.

    Article  PubMed  Google Scholar 

  45. Zhu, F., H. Mao, A. Dal Cengio Leonardi, C. Wagner, C. Chou, X. Jin, C. Bir, P. Vandevord, K. H. Yang, and A. I. King. Development of an FE model of the rat head subjected to air shock loading. Stapp Car Crash J. 54:211–225, 2010.

    CAS  PubMed  Google Scholar 

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Acknowledgments

This work was supported by Grant No. 14059001 (W81XWH-15-1-0303) under the U.S. Army Medical Research and Materiel Command. Authors acknowledge the assistance of Dr. Saikat Pal with proof reading, Debrina Roy in model development, and Dr. Raj Gupta in theoretical discussions.

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The authors have no conflicts to disclose.

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Correspondence to Namas Chandra.

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Associate Editor Raj K. Prabhu oversaw the review of this article.

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Figure S1

The experimental incident pressure measurements (mean ± one standard deviation, n=4) were compared to the simulated incident pressure measurement at the location at which the Lagrangian part instance was placed (TIFF 157 kb)

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Townsend, M.T., Alay, E., Skotak, M. et al. Effect of Tissue Material Properties in Blast Loading: Coupled Experimentation and Finite Element Simulation. Ann Biomed Eng 47, 2019–2032 (2019). https://doi.org/10.1007/s10439-018-02178-w

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