Peterson, AB, Xu, L., Daugherty, J., and Breiding, MJ Traumatic Brain Injury Emergency Room Visits, Hospitalizations, and Deaths Surveillance Report, United States, 2014 (2019).
Eigen, AM, & Martin, PG Identification of real-world injury patterns to support manikin development. In Identifying Real-World Injury Patterns Using Manikin Development, 19th Enhanced Safety of Vehicles (2005).
Faul, M., Xu, L., Wald, M., and Coronado, V. Traumatic brain injury in the United States: emergency room visits, hospitalizations, and deaths 2002-2006 (blue book). National Center for Injury Prevention and Control, Centers for Disease Control and Prevention, Atlanta (2010).
Gennarelli, TA & Thibault, LE Biomechanics of acute subdural hematoma. J. Infect Traumatic Injury. Crit. Care. 22680–686 (1982).
Blumbergs, PC, Scott, G., Manavis, J., Wainwright, H. & Mclean, AJ Axonal injury topography as defined by amyloid precursor protein and sector scoring method in mild and severe closed head trauma . J. Neurotrauma 12565 (1995).
Povlishock, JT & Christman, CW The pathobiology of trauma-induced axonal injury in animals and humans: a review of current thinking. J. Neurotrauma 12555–564 (1995).
Maxwell, WL, Povlishock, JT & Graham, DL A mechanistic analysis of non-disruptive axonal injury: a review. J. Neurotrauma. 1419–440 (1997).
Shugar, T. & Katona, M. Development of a finite element model of traumatic brain injury. J.Eng. Mech. Div. 101223–239 (1975).
Zhang, L., Yang, KH, Dwarampudi, R., Omori, K., and King, AI Recent Advances in Brain Injury Research: Development and Validation of a New Human Head Model. STAPP Car Accident Conference (2001).
Takhounts, EG, Fau-Campbell JQ, Tannous, RE, Power, ED and Shook, LS On the development of the head model by finite elements SIMon (2003).
Kleiven, S. Predictors of traumatic brain injury assessed by accident reconstructions. Car crash Stapp J. 5181–114 (2007).
Horgan, TJ & Gilchrist, MD The creation of three-dimensional finite element models to simulate the biomechanics of head impact. Int. J. Shock Resistance 8353–366 (2003).
Horgan, TJ & Gilchrist, MD Influence of FE model variability in predicting brain motion and intracranial pressure changes in head impact simulations. Int. J. Shock Resistance 9401–418 (2004).
Deck, C. & Willinger, R. Improved head injury criteria based on the FE head model. Int. J. Crashworth. 13667–678 (2008).
Sahoo, D., Deck, C. & Willinger, R. Development and validation of an advanced anisotropic visco-hyperelastic human brain FE model. J.Mech. Biomedical behavior. Mater. 3324–42 (2014).
Willinger, RM, Taleb, L., & Pradoura, P. Head biomechanics: from the finite element model to the physical model. In Head biomechanics: from the finite element model to the physical model. Ircobi International Conference on the Biomechanics of Impact. (1995).
Kimpara, H. et al. Investigation of anteroposterior head-neck responses during severe frontal impacts using a brain-spinal cord complex FE model. Stapp. J car accident. 50509-544 (2006).
Mao, H. et al. Development of a finite element model of the human head partially validated with thirty five experimental cases. J. Biomech. Eng. 135111002–111015 (2013).
Garimella, H., & Kraft, R. Modeling the mechanics of axonal fiber bundles using the integrated finite element method. (2016).
Li, X., Zhou, Z. & Kleiven, S. An anatomically detailed and customizable head trauma model: importance of morphological variability of brain and white matter pathways on strain. Biomech. Model. Mecanobiol. 20(2), 403–431 (2021).
Wu, T., Alshareef, A., Giudice, JS & Panzer, MB Explicit modeling of white matter axonal fiber bundles in a finite element brain model. Ann. Biomedical. Eng. 11 (2019).
Google Scholar
Zhao, W. & Ji, S. Cerebral vascular strains during dynamic head impact using an improved model exhibiting heterogeneity in brain material properties. J.Mech. Biomedical behavior. Mater. 126104967 (2022).
Al-Bsharat, AS, Hardy, WN, Yang, KH, Khalil, TB, Tashman, S., & King, AI Amplitude of Relative Brain/Skull Displacement Due to Sudden Head Impact: New Experimental Data and Model: The Stapp Association (1999).
Gabler, LF, Crandall, JR & Panzer, MB Evaluation of Kinematic Measures of Brain Injury to Predict Stress Responses Under Various Automotive Impact Conditions. Ann. Biomedical. Eng. 443705–3718 (2016).
Zhan, X., et al. Predictors of kinematics in traumatic brain injury from head impacts based on statistical interpretation. Ann. Biomedical. Eng. 49(10), 2901–2913 (2021).
Zhan, X., et al. Rapid estimation of total brain load using deep learning models. IEEE Trans. Biomedical. Eng. 68(11), 3424–3434 (2021).
Zhang, L., Yang, KH, and King, AI A proposed injury threshold for mild traumatic brain injury. J. Biomech. Eng. 126226-236 (2004).
Zhou, C., Khalil, TB, and King, AI Distribution of shear stresses in the porcine brain due to the impact of rotation: SAE international. (1994).
Zhu, F., Chou, C., Yang, K., and King, A. Development of a new biomechanical indicator for primary blast-induced brain injury. (2015).
Takhounts, EG, Craig, MJ, Moorhouse, K., McFadden, J. & Hasija, V. Development of Brain Injury Criteria (Br IC). Stapp. Auto. CrashJ. 57243–266 (2013).
Zhang, L., Yang, KH & King, AI Comparison of brain responses between frontal and lateral impacts by finite element modeling. J. Neurotrauma 1821 (2001).
Wang, F. et al. Prediction of brain deformities and the risk of head trauma due to closed-head impact: quantitative analysis of the effects of boundary conditions and the constitutive model of brain tissue. Biomech. Model. Mecanobiol. 171165-1185 (2018).
Zhou, Z., Li, X., and Kleiven, S. Simulation of brain-skull interface fluid-structure interaction for prediction of acute subdural hematoma. (2018).
Claessens, M., Sauren, F. and Wismans, J. Modeling the human head under impact conditions: a parametric study (1997).
Kleiven, S. & Hardy, W. Correlation of an FE model of the human head with local consequences of brain movement for injury prediction. Car crash Stapp J. 46123–144 (2002).
Hardy, WN, Foster, CD, Mason, MJ, Yang, KH, King, AI, and Tashman, S. Investigating mechanisms of head trauma using neutral density technology and high-velocity biplanar X-rays: the stapp association (2001).
Hardy, WN, Mason, MJ, Foster, CD, Shah, CS, Kopacz, JM, Yang, KH, King, AI, Bishop, J., Bey, M., Anderst, W., and Tashman, S. A study of the response of the human cadaver head to impact: the stapp association (2007).
Trosseille, X., Tarriére, C., Lavaste, F., Guillon, F., & Domont, A. Development of an FEM of the human head according to a specific test protocol: SAE international (1992).
Yoganandan, N. et al. Biomechanics of skull fracture. J. Neurotrauma 12659–668 (1995).
Nahum, AM, Smith, R. and Ward, CC Dynamics of intracranial pressure during impact to the head: SAE international (1977).
Takhounts, E. et al. Investigating Traumatic Brain Injury Using the Next Generation Simulated Injury Monitor Finite Element Head Model (SIMon). Stapp. J car accident. 521–31 (2008).
Abel, JM, Gennarelli, TA, and Segawa, H. Incidence and severity of concussion in the rhesus monkey following angular acceleration of the sagittal plane: SAE international (1978).
Stalnaker RL. Validation studies for the brain injury model. Final report. Access number. (1977).
Nusholtz, GS, Lux, P., Kaiker, P., & Janicki, MA Head Impact Response – Skull Deformation and Angular Accelerations: SAE International (1984).
Bandak, FA & Eppinger, RH A three-dimensional finite element analysis of the human brain under combined rotational and translational accelerations. SAE Trans. 1031708–1726 (1994).
Google Scholar
EG Takhounts SR, S Rowson, SM Duma. Kinematic Rotational Brain Injury Criterion (BRIC) (2011).
Weaver, CM, Baker, AM, Davis, ML, Miller, AN & Stitzel, JD Creation and validation of a side impact finite element based pelvic injury metric for a human body model. J. Biomech. Eng. 1401 (2018).
Berckmans, D., Delye, H., Goffin, J., Verschueren, P., Sloten, JV, and Van der Perre, G. Biomechanical properties of the superior sagittal sinus bridging vein complex: the Stapp association (2006).
Hernández, F. et al. Side impacts correlate with falx cerebrum displacement and corpus callosum trauma in sports-related concussions. Biomech. Model. Mecanobiol. 18(3), 631–649 (2019).
Kraft, RH, Mckee, PJ, Dagro, AM & Grafton, ST Combining Finite Element Method with Connectome-Based Structural Analysis for Neurotrauma Modeling: Mechanics of Connectome Neurotrauma. PLoS calculation. Biol. 8(8), e1002619. https://doi.org/10.1371/journal.pcbi.1002619 (2012).
Wright, RM & Ramesh, KT An axonal strain injury criterion for traumatic brain injury. Biomech. Mecanobiol model. 11, 245–260. https://doi.org/10.1007/s10237-011-0307-1 (2012).
Eppinger, R., Sun, E., Bandak, F., Haffner, M., Khaewpong, N., and Maltese, M. Development of improved injury criteria for the evaluation of advanced automotive restraint systems—II (1999) .
Guidice, JS et al. An analytical review of numerical methods used for finite element modeling of traumatic brain injury. Ann. Biomedical. Eng. 11 (2018).
Google Scholar
Jin, X., Mao, H., Yang, K. & King, A. Constitutive modeling of the Pia-Arachnoid complex. Ann. Biomedical. Eng. 421 (2013).
Ho, J., Zhou, Z., Li, X. & Kleiven, S. The special properties of falx and tent in the biomechanics of brain injury. J. Biomech. 60243–247 (2017).
