Abstract
Accurate modelling of intracellular calcium ion (\(Ca^{2+}\)) concentration evolution is valuable as it is known to rapidly increase during a Traumatic Brain Injury. In the work presented here, our older non-spatial model dealing with the effect of mechanical stress upon the \(Ca^{2+}\) transportation in a neuron is spatialized by considering the brain tissue as a solid continuum with the \(Ca^{2+}\) activity occurring at every material point. Starting with one-dimensional representation, the brain tissue geometry is progressively made realistic and under the action of pressure or kinematic impulses, the effect of dimensionality and material behaviour on the correlation between the stress and concomitant \(Ca^{2+}\) concentration is investigated. The spatial calcium kinetics model faithfully captures the experimental observations concerning the \(Ca^{2+}\) concentration, load rate, magnitude and duration and most importantly shows that the critical location for primary injury may not be the most important location as far as secondary injury is concerned.
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References
Anderson RWG (2000) A study on the biomechanics of axonal injury. Ph.D. thesis
Azevedo FA, Carvalho LR, Grinberg LT, Farfel JM, Ferretti RE, Leite RE, Filho WJ, Lent R, Herculano-Houzel S (2009) Equal numbers of neuronal and nonneuronal cells make the human brain an isometrically scaled-up primate brain. J Comp Neurol 513(5):532
Baker HL, Errington RJ, Davies SC, Campbell AK (2002) A mathematical model predicts that calreticulin interacts with the endoplasmic reticulum Ca 2+-ATPase. Biophys J 82(2):582
Bandak F, Zhang A, Tannous R, DiMasi F, Masiello P, Simon RH (2001) A simulated injury monitor; application to head injury assessment, Eppinger, in Proceedings: international technical conference on the enhanced safety of vehicles (National Highway Traffic Safety Administration, 2001), pp. 7–14
Berridge MJ, Bootman MD, Roderick HL (2003) Calcium signalling: dynamics, homeostasis and remodelling. Nat Rev Mol Cell Biol 4(7):517
Christensen R (2012) Theory of viscoelasticity: an introduction. Elsevier, Amsterdam
COMSOL Multiphysics Reference Manual, pp. 1260. COMSOL Multiphysics® v. 5.5. COMSOL AB, Stockholm, Sweden. 2019
Cullen DK, LaPlaca MC (2006) Neuronal response to high rate shear deformation depends on heterogeneity of the local strain field. J Neurotrauma 23(9):1304
Donnelly B, Medige J (1997) Shear properties of human brain tissue. J Biomech Eng 119(4):423
Duvernoy H (1999) The human brain. surface, three-dimensional sectional anatomy with mri, and blood supply
Elkin BS, Morrison B III (2007) Region-specific tolerance criteria for the living brain. Stapp Car Crash J 51:127
Falcke M (2004) Reading the patterns in living cells the physics of Ca2+ signaling. Adv Phys 53(3):255
Faul M, Xu L, Wald M, Coronado V (2010) National Center for Injury Prevention and Control. pp. 2002–2006
Franklyn M, Fildes B, Zhang L, King Y, Sparke L (2005) Analysis of finite element models for head injury investigation: reconstruction of four real-world impacts. Stapp Car C 49:1
Gaetz M (2004) The neurophysiology of brain injury. Clin Neurophysiol 115(1):4
Galford JE, McElhaney JH (1970) A viscoelastic study of scalp, brain, and dura. J Biomech 3(2):211
Geddes DM, Cargill RS (2001) An in vitro model of neural trauma: device characterization and calcium response to mechanical stretch. J Biomech Eng 123(3):247
Geddes-Klein DM, Schiffman KB, Meaney DF (2006) Mechanisms and consequences of neuronal stretch injury in vitro differ with the model of trauma. J Neurotrauma 23(2):193
Giza CC, Hovda DA (2001) The neurometabolic cascade of concussion. J Athl Train 36(3):228
Hemphill MA, Dauth S, Yu CJ, Dabiri BE, Parker KK (2015) Traumatic brain injury and the neuronal microenvironment: a potential role for neuropathological mechanotransduction. Neuron 85(6):1177
Herculano-Houzel S (2009) The human brain in numbers: a linearly scaled-up primate brain. Front Human Neurosci 3:31
Jog CS (2015) Continuum mechanics, vol 1. Cambridge University Press, Cambridge
Kang HS, Willinger R, Diaw BM, Chinn B (1997) Validation of a 3d anatomic human head model and replication of head impact in motorcycle accident by finite element modeling. Tech. rep, SAE Technical Paper
Kant A, Bhandakkar TK, Medhekar NV (2018) Stress enhanced calcium kinetics in a neuron. Biomech Model Mechanobiol 17(1):169
Kass I, Lipton P (1986) Calcium and long-term transmission damage following anoxia in dentate gyrus and CA1 regions of the rat hippocampal slice. J Physiol 378(1):313
Kilinc D (2008) Mechanisms and prevention of axonal damage in response to mechanical trauma to cultured neurons. Ph.D. thesis, Drexel University
Kimpara H, Iwamoto M (2012) Mild traumatic brain injury predictors based on angular accelerations during impacts. Ann Biomed Eng 40(1):114
Knowles BM, MacGillivray SR, Newman JA, Dennison CR (2017) Influence of rapidly successive head impacts on brain strain in the vicinity of bridging veins. J Biomech 59:59
Kowalewski JM, Uhlén P, Kitano H, Brismar H (2006) Modeling the impact of store-operated Ca 2+ entry on intracellular Ca 2+ oscillations. Math Biosci 204(2):232
Kristián T, Siesjö BK (1998) Calcium in ischemic cell death. Stroke 29(3):705
LaPlaca MC, Lee VMY, Thibault LE (1997) An in vitro model of traumatic neuronal injury: loading rate-dependent changes in acute cytosolic calcium and lactate dehydrogenase release. J Neurotrauma 14(6):355
Levchakov A, Linder-Ganz E, Raghupathi R, Margulies SS, Gefen A (2006) Computational studies of strain exposures in neonate and mature rat brains during closed head impact. J Neurotrauma 23(10):1570
Lusardi TA, Rangan J, Sun D, Smith DH, Meaney DF (2004) A device to study the initiation and propagation of calcium transients in cultured neurons after mechanical stretch. Ann Biomed Eng 32(11):1546
Maneshi MM, Sachs F, Hua SZ (2015) A threshold shear force for calcium influx in an astrocyte model of traumatic brain injury. J Neurotrauma 32(13):1020
Mao H, Zhang L, Yang KH, King AI (2006) Application of a finite element model of the brain to study traumatic brain injury mechanisms in the rat. Stapp Car Crash 50:583
Margulies SS, Thibault LE (1992) A proposed tolerance criterion for diffuse axonal injury in man. J Biomech 25(8):917
Mendis K, Stalnaker R, Advani S (1995) A constitutive relationship for large deformation finite element modeling of brain tissue. J Biomech Eng 117(3):279
Miller K, Chinzei K (1997) Constitutive modelling of brain tissue: experiment and theory. J Biomech 30(11):1115
Morrison B III, Cater HL, Wang CC, Thomas FC et al (2003) A tissue level tolerance criterion for living brain developed with an in vitro model of traumatic mechanical loading. Stapp Car Crash J 47:93
Nilsson P, Hillered L, Olsson Y, Sheardown M, Hansen A (1993) Regional changes in interstitial K+ and Ca2+ levels following cortical compression contusion trauma in rats. J Cereb Blood Flow Metab 13(2):183
Nusholtz GS, Lux P, Kaiker P, Janicki MA (1984) Head impact respon-seskull deformation and angular accelerations. Tech. rep, SAE Technical Paper
Ommaya AK, Gennarelli T (1974) Cerebral concussion and traumatic unconsciousness: correlation of experimental and clinical observations on blunt head injuries. Brain 97(4):633
Palmer AM, Marion DW, Botscheller ML, Bowen DM, DeKosky ST (1994) Increased transmitter amino acid concentration in human ventricular CSF after brain trauma. Neuroreport 6(1):153
Pena A, Pickard J, Stiller D, Harris N, Schuhmann M (2005) Brain tissue biomechanics in cortical contusion injury: a finite element analysis in intracranial pressure and brain monitoring XII. Springer, Berlin, pp 333–336
Prange MT, Margulies SS (2002) Regional, directional, and age-dependent properties of the brain undergoing large deformation. J Biomech Eng 124(2):244
Prins M, Greco T, Alexander D, Giza CC (2013) The pathophysiology of traumatic brain injury at a glance. Dis Model Mech 6(6):1307
Rashid B, Destrade M, Gilchrist MD (2013) Mechanical characterization of brain tissue in simple shear at dynamic strain rates. J Mech Behav Biomed Mater 28:71
Roozenbeek B, Maas AI, Menon DK (2013) Changing patterns in the epidemiology of traumatic brain injury. Nat Rev Neurol 9(4):231
Rowson S, Duma SM, Beckwith JG, Chu JJ, Greenwald RM, Crisco JJ, Brolinson PG, Duhaime AC, McAllister TW, Maerlender AC (2012) Rotational head kinematics in football impacts: an injury risk function for concussion. Ann Biomed Eng 40(1):1
Shuck L, Advani S (1972) Rheological response of human brain tissue in shear. J Basic Eng 94(4):905
Smith DH, Meaney DF (2000) Axonal damage in traumatic brain injury. Neuroscientist 6(6):483
Takhounts EG, Eppinger RH, Campbell JQ, Tannous RE et al (2003) On the development of the SIMon finite element head model. Stapp Car C 47:107
Takhounts EG, Ridella SA, Hasija V, Tannous RE, Campbell JQ, Malone D, Danelson K, Stitzel J, Rowson S, Duma S (2008) Investigation of traumatic brain injuries using the next generation of simulated injury monitor (SIMon) finite element head model. Stapp Car C 52:1
Vilaca LMDO, Gómez-Vargas B, Kumar S, Ruiz-Baier R, Verma N (2020) Stability analysis for a new model of multi-species convection-diffusion-reaction in poroelastic tissue. Appl Math Model 84:425–446
Weber JT (2004) Calcium homeostasis following traumatic neuronal injury. Curr Neurovasc Res 1(2):151
Weber JT (2012) Altered calcium signaling following traumatic brain injury. Front Pharmacol 3:60
Werner C, Engelhard K (2007) Pathophysiology of traumatic brain injury. Br J Anaesth 99(1):4
Williams PR, Marincu BN, Sorbara CD, Mahler CF, Schumacher AM, Griesbeck O, Kerschensteiner M, Misgeld T (2014) A recoverable state of axon injury persists for hours after spinal cord contusion in vivo. Nat. Commun. 5
Wojda U, Salinska E, Kuznicki J (2008) Calcium ions in neuronal degeneration. IUBMB Life 60(9):575
Wright RM, Ramesh K (2012) An axonal strain injury criterion for traumatic brain injury. Biomech Model Mechanobiol 11(1–2):245
Zhang L, Yang KH, Dwarampudi R, Omori K, Li T, Chang K, Hardy WN, Khalil TB, King AI (2001) Recent advances in brain injury research: a new human head model development and validation. Stapp Car Crash 45(11):369
Zink BJ (2001) Traumatic brain injury outcome: concepts for emergency care. Ann Emerg Med 37(3):318
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A Appendix: 1D analytical solution
A Appendix: 1D analytical solution
Consider a viscoelastic bar of length L as shown in Fig. 2, one end of which is fixed, while at the other end a constant stress of magnitude \(\sigma ^*(t)=\sigma ^*\) is applied. The standard linear solid viscoelastic relaxation law in terms of the elastic modulus for a uniaxial case can be written as,
where the material constants \(E_{\infty }\), \(E_1\), and \(\eta _1\) are defined as,
where \(G_{\infty }\) and \(G_1\) are the shear modulus corresponding to the long time and relaxation time, \(\tau _1\). K denotes the bulk modulus. For the ease of calculations, we normalize the variables as follows,
where \(\tau\), \(\xi\), \(\Sigma\), \({\mathbb {U}}\), \(\epsilon\) are the non-dimensionalized time t, space co-ordinate x, stress \(\sigma\), displacement u and strain \(\epsilon\), respectively, and \(E_0 = E_\infty + E_1\). The factors \(\eta _1/E_0\) and \(\eta _1/\sqrt{\rho E_0}\) used to normalize time and length, respectively, represent the characteristic time and length offered by the material model. The space co-ordinate and displacement scaled by the length of the bar are related to their dimensionless counterparts \(\xi\) and \({\mathbb {U}}\) through non-dimensional parameter \(M = L\sqrt{\rho E_0}/\eta _1\). M compares the length of the bar to the material characteristic length.
Using Eqs. (3, 4, and A.3), the normalized equation of motion in the x-direction, the constitutive law, the relaxation law and the boundary conditions can be expressed as follows,
where \(\psi =E_1/E_0\). Note that the, the non-dimensional time ‘\(\tau\)’ used here must not be confused with the viscoelastic relaxation time ‘\(\tau _1\)’ used in Eq.(6).
The wave equation given by Eq. (A.4) in conjunction with Eqs.(A.5–A.7) can be solved analytically using Laplace transforms. In the transformed domain, the Eqs.(A.4–A.7) can be rewritten as,
Following the procedure given by Christensen (2012), the general solution of Eqs. (A.8–A.11) can expressed as,
where \({\mathbb {U}}^n(\xi ) = sin[(2n-1)\pi \xi /2M]\) is the \(n^{th}\) eigenvalue in the solution for an equivalent elastic bar, and \(\bar{{\mathbb {V}}}(\xi ,s)=(\sigma ^*\xi )/(s^2\bar{{\mathbb {E}}}(s)E_0)\) is the quasi-static solution for the viscoelastic bar. The coefficients \({\bar{C}}_n(s)\) are obtained by substituting the expression of \(\bar{{\mathbb {U}}}(\xi ,s)\) given in Eq. (A.12) into the governing equation in Eq. (A.8), and invoking the orthogonality of the elastic eigenvalues \({\mathbb {U}}^n(\xi )\). Combining the displacement solution with the constitutive law in Eq. (A.9) and the relaxation law in Eq. (A.10), we obtain the stress distribution over the length of the bar in Laplace domain as,
Although an analytical inversion cannot be derived in a generalised fashion, by electing a specific value for M, substituting for \(\psi\) according to the material properties, and choosing to truncate the convergent infinite series after a finite number of terms enables us to invert the expression in the RHS of Eq. (A.13). We perform this operation on MAPLE for the values of M discussed in Sect. 3, thus obtaining the stress evolution with time, plotted in Fig. 3 a, b and c.
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Kant, A., Medhekar, N.V. & Bhandakkar, T.K. Spatial calcium kinetics after a traumatic brain injury. Biomech Model Mechanobiol 20, 1413–1430 (2021). https://doi.org/10.1007/s10237-021-01453-5
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DOI: https://doi.org/10.1007/s10237-021-01453-5