Abstract
Understanding the brain's response to multiple loadings requires knowledge of how straining changes the mechanical response of brain tissue. We studied the inelastic behavior of bovine white matter and found that when this tissue is stretched beyond a critical strain threshold its reloading stiffness drops. An upper bound for this strain threshold was characterized, and was found to be strain-rate dependent at low strain rates, and strain-rate independent at higher strain rates. Results suggest that permanent changes to tissue mechanics can occur at strains below those believed to cause physiological disruption or rupture of axons. Such behavior is characteristic of disentanglement in fibrous networked solids, in which strain-induced mechanical changes may result from fiber realignment rather than fiber breakage.
Keywords: Brain tissue mechanics, inelastic straining
1. Introduction
Rapid skull motion may injure cells when the resulting intracranial strains locally exceed a critical threshold (e.g. Bain and Meaney (2000), Ommaya et al. (1968)). Studies of cultured axons suggest that axial strains exceeding 5 to 10 percent may physiologically disrupt axons (e.g. Bain et al. (2001), Geddes and Cargill (2001), Morrisson et al. (2000,2003), Smith et al. (1999)).
Since only limited measurements exist of the brain's mechanical response in vivo to low levels of acceleration (Bayly et al. (2004,5)), predictions of the strain levels that result from a particular head insult rely largely on computer models of the brain (e.g. Zhang et al. (2001)). These computer models rely on the many excellent data and constitutive models of the mechanical response of brain tissue to monotonic straining (Meaney (2003), Margulies and Meaney (1998), Miller (2002)). However, data and models of the brain's response to repeated loading are still needed in order to begin computer simulation of clinical pathologies related to multiple head insults, such as shaken baby syndrome (Duhaime et al. 1987) and second concussion syndrome (Cantu, 2003).
This brief communication presents some first steps towards qualitatively characterizing how repeated deformation alters the mechanical properties of brain tissue. To study the effect of repeated deformation on the mechanical properties of white matter, simple torsion tests were performed on freshly isolated cylindrical cores of bovine white matter. Basic observations of strain induced mechanical property changes and an upper bound on strain and strain-rate thresholds for these changes are presented.
2. Methods and Materials
2.1 Sample acquisition
Bovine brains were delivered in 4°C 2% saline solution within 20 minutes of slaughter following standard FDA procedures. With the brain at 4°C, 6.70 mm-radius (+/− 150μm) cylindrical cores were removed from the frontal lobes using a circular stainless steel knife. These were placed into a plastic cylindrical mold and sliced into 1.3 mm-thick (+/− 50μm) discs using a razor blade. Discs containing gray matter or obvious signs of pre-slaughter injury were discarded. Each brain yielded 3−6 samples, which were tested within 90 minutes of slaughter.
2.2 Experimental set-up
Samples were tested in 2% saline solution, maintained at 22°C or 37°C, on a Rheometrics RSA-II hydraulic rheometer (TA Instruments, New Castle, Delaware). The rheometer's opposing circular platens were covered with 80-grit sandpaper. Samples were centered on the lower platen, and the upper platen was lowered to compress the sample by 10%.
2.3 Experimental protocols
Tests were designed to determine: (1) the response of specimens to repeated loading; and (2) upper-bound threshold-strain estimates for permanent mechanical changes. In each test, linear strain amplitude changes were applied at a constant strain rate. No preconditioning stretches were applied.
2.3.1 Repeated loading protocol
Eight samples from 4 brains were repeatedly twisted and untwisted at prescribed rates to prescribed angles while torque was monitored. Six specimens, three tested at a rate of 0.0015 rad/s and three at 0.003 rad/s, were twisted at least four times to each of the following angles, with all tests at lower angles being completed before proceeding to larger angles of twist: 0.0045 rad, 0.022 rad, 0.22 rad, and 0.34 rad. Each twist was followed by an immediate untwisting back to an angle of zero at the same prescribed rate. Specimens were held at an angle of zero after each cycle of twisting and untwisting until viscoelastic effects had relaxed. To illustrate the trends observed in all of these tests, the final two specimens were tested at a rate of 0.0015 rad/s to an angle of 0.34 rad; data from one of these tests were used for Figure 4.
Figure 4.

Bovine white matter (here tested at 22°C) exhibited a reduction in secant modulus upon reloading, with subsequent twisting of the same magnitude resulting in relatively minor reductions of the tissue's mechanical resistance.
2.3.2 Plasticity threshold protocol
Eighteen samples from 4 additional brains were twisted to a prescribed peak strains at prescribed rates, then untwisted at the same prescribed rate. Each specimen was twisted so that the nominal engineering shear strain at its outermost radial extremity reached γ={0.01, 0.015, 0.02, 0.025, 0.03, 0.035, 0.04, 0.045, 0.05, 0.06, 0.07, 0.08, 0.09, 0.1, 0.125, 0.15}. Six different strain rates of the outermost radial boundary were tested: two specimens at 0.25 s−1, four at 0.50 s−1, three at 0.75 s−1, four at four 1.0 s−1, two at 1.3 s−1, and three at 1.5 s−1.
Data were analyzed to identify the degree of straining required for the secant modulus at γ=0.015 strain to drop to 85% of the value from the virgin curve (Figure 1) (e.g. Hill, 1950). The maximum strain applied to the sample prior to this reduction in secant modulus was recorded as a plasticity threshold. In most cases this threshold was found using the linear interpolation scheme described in Figure 1. The strain level of γ=0.015 was chosen because this was the largest level to which specimens could be repeatedly strained without affecting the secant modulus.
Figure 1.

Example of analysis. The curves are normalized by the value of torque on the first (top) loading curve at 1.5% peak engineering shear strain. The first reloading results in a normalized torque at γmax=1.5% of about 0.9, and the second in a normalized torque of about 0.8. The threshold strain at this particular strain rate would be found by interpolating halfway between the peak strain of the virgin curve and that of the first reloading curve. The dotted line represents a 15% drop in normalized torque, or the threshold at which significant changes were determined to have occurred.
3. Results
Typical torque vs. rotation angle curves from ramp tests are pictured in Figure 2 for a specimen repeatedly twisted at a rate of ±0.0015 rad/s. Repeated reloadings involving small tissue deformations caused no mechanical changes to the specimens (Figures 2 and 3a). Unloading of the specimens produced a sharp drop in torque due to a change in sign of the rate-dependent component of the mechanical response. A negative torque was required to return the angle of rotation to zero due to viscous effects.
Figure 2.

Typical torque vs. angle data for reloading of specimens tested at 37°C.
Figure 3.


Typical torque vs. angle data for specimens tested at 37°C. (a) Reloading cycles at low strain levels caused no permanent mechanical changes: the curves for the ninth and tenth cycles (pictured) followed those of the eight previous cycles. (b) Higher strain levels in later reloading cycles led to reduced secant moduli upon reloading.
Specimens twisted beyond a critical threshold exhibited diminished secant moduli (Figures 2 and 3b). The reloading curve here showed a marked reduction in initial slope; however, the peak torque exceeded that of the previous (lower strain-amplitude) cycle. The increasing strain levels in subsequent cycles resulted in progressively reduced secant moduli. For repeated twisting to a single peak strain, little change in secant moduli were observed after the first twisting (Figure 4).
Plasticity thresholds measured on 18 different specimens were found to exhibit both rate-dependent and rate-independent modes, with the threshold strain increasing monotonically with strain rate at lower strain rates (Figure 5).
Figure 5.
Estimated strains at which permanent mechanical changes occur in bovine white matter. Data is shown for 18 specimens. The data appear to exhibit a rate-dependent mechanism for mechanical changes at low strain rates, and a rate-dependent mechanism at higher strain rates.
4. Discussion
After a single “preconditioning” twist of the tissue beyond a rate-dependent threshold, mechanical resistance upon reloading dropped an amount that increased with the degree of twist. Subsequent twisting to this same degree had little effect on mechanical response, meaning that the major reduction in reloading modulus occurred in response to the initial loading. Thresholds for the degree of twist required to permanently change tissue mechanical properties were characterized as a function of shear strain and strain rate under the following two assumptions. First, the observed changes in mechanical modulus were due predominantly to changes in the outermost annulus of tissue. This is reasonable in light of observations that brain tissue stiffens with straining (Miller, 2002), meaning that the regions of highest strain could be expected to dominate the secant modulus. Second, the variations in specimen dimensions were negligible when comparing torque-vs.-peak strain plots from different specimens. This caused errors in estimated thresholds on the order of ((ΔR)/R+(Δh)/h) for a specimen of radius R, height h, and tolerances for radius and height measurements ΔR and Δh. For ΔR=150μm and Δh=50μm, this yields errors on the order of 6%.
The critical strain thresholds measured appeared to exhibit strain-rate dependence at lower strain-rates, and strain-rate independence at higher strain rates. The measured upper-bound strain levels were lower than the strain thresholds reported in the literature for causing physiological changes to cultured axons (e.g., Morrison III et al., 2003), implying that permanent changes to the mechanical properties of brain tissue can occur at loading levels smaller than those known to injure cells.
When strained repeatedly to the same level, samples exhibited little change in mechanical response after the first cycle (Figure 4). Such behavior is characteristic of entangled fibrous solids, and can result from two sources. The first is fiber realignment, as occurs in some yarns and fabrics in tension (Boisse et al., 2005), and in fibrous mats in compression (Durville, 2005; Poquillon et al., 2005). Here, disentanglement and realignment of fibers leads to a reduction in secant moduli for reloading for strains up to the peak strain of the previous cycle. The second is stochastic fiber fracture (Curtin, 1999), in which this behavior is due to friction holding together fragmenting fibers (Godfrey and Rossettos, 2001). Since the modulus changes were observed at strain levels far too low to fracture cultured axons, evidence points to rearrangement of fibers that occurs with little fiber breakage.
In some such materials (e.g. collagenous tissues), “pre-conditioning” stretches are applied before mechanical testing to de-tangle fibrils into a configuration more representative of conditions in vivo (e.g. Pryse et al., 2003; Nekouzadeh et al., 2007). Whether “pre-conditioning” stretches are appropriate for brain tissue is a topic of debate (e.g. Darvish and Crandall, 2001). Pre-conditioning and details of cutting may underlie differences between the current results and those of Hrapko, et al. (2006) who observe no mechanical changes to white matter over a broad range of loading conditions.
Our results suggest insight into mechanisms of repeated-acceleration induced traumatic brain injury. At strain-concentrating features such as the boundaries of anatomical inhomogeneities, reductions in secant moduli can lead to local amplification of strains on subsequent loading cycles (e.g., Genin and Hutchinson, 1997): a second, identical loading may produce local strains much higher than those resulting from the first loading.
5. Acknowledgments
The authors thank Anna Barlow, Prof. B. Khomami, and Prof. S. Sureshkumar for helpful discussions. This work was supported in part by the National Institutes of Health through grants NS055951 and HL079165, and by the Johanna D. Bemis Trust.
References
- Bain AC, Meaney DF. Tissue-level thresholds for axonal damage in an experimental model of central nervous system white matter injury. ASME J. Biomechanical Engineering. 2000;122:615–622. doi: 10.1115/1.1324667. [DOI] [PubMed] [Google Scholar]
- Bain AC, Raghupathi R, Meaney DF. Dynamic stretch correlates to both morphological abnormalities and electrophysiological impairment in a model of traumatic axonal injury. J. Neurotrauma. 2001;18:499–511. doi: 10.1089/089771501300227305. [DOI] [PubMed] [Google Scholar]
- Bayly PV, Ji S, Song V, Okamoto RJ, Massouros PG, Genin GM. Measurement of Strain in Physical Models of Brain Injury: A Method Based on HARP Analysis of Tagged Magnetic Resonance Images. ASME J. Biomechanical Engineering. 2004;126:523–8. doi: 10.1115/1.1785811. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Boisse P, Gasser A, Hagege B, Billoet J-L. Analysis of the mechanical behavior of woven fibrous material using virtual tests at the unit cell level. Journal of Materials Science. 2005;40:5955–62. [Google Scholar]
- Cantu RC. Recurrent athletic head injury: risks and when to retire. Clin Sports Med. 2003;22:593–603. doi: 10.1016/s0278-5919(02)00095-9. [DOI] [PubMed] [Google Scholar]
- Curtin WA. Stochastic damage evolution and failure in fiber-reinforced composites. Advances in Applied Mechanics. 1999;36:163–253. [Google Scholar]
- Darvish KK, Crandall JR. Nonlinear viscoelastic effects in oscillatory shear deformation of brain tissue. Med Eng Phys. 2001;23:633–45. doi: 10.1016/s1350-4533(01)00101-1. [DOI] [PubMed] [Google Scholar]
- Duhaime AC, Gennarelli TA, Thibault LE, Bruce DA, Margulies SS, Wiser R. The shaken baby syndrome. A clinical, pathological, and biomechanical study. J Neurosurg. 1987;66:409–15. doi: 10.3171/jns.1987.66.3.0409. [DOI] [PubMed] [Google Scholar]
- Durville D. Numerical simulation of entangled materials mechanical properties. Journal of Materials Science. 2005;40:5941–48. [Google Scholar]
- Flügge W. Viscoelasticity. Springer-Verlag; New York: 1970. [Google Scholar]
- Geddes DM, Cargill RS. An in vitro model of neural trauma: device characterization and calcium response to mechanical stretch. ASME J Biomechanical Engineering. 2001;123:247–255. doi: 10.1115/1.1374201. [DOI] [PubMed] [Google Scholar]
- Genin GM, Hutchinson JW. Composite laminates in plane stress: Constitutive modelling and stress redistribution due to matrix cracking. Journal of the American Ceramic Society. 1997;80:1245–55. [Google Scholar]
- Godfrey TA, Rossettos JN. A constitutive model for blended yarn extension with fragmented low-elongation fibers. Textile Research Journal. 2001;71:845–854. [Google Scholar]
- Hill R. The Mathematical Theory of Plasticity. Oxford; Oxford: 1950. [Google Scholar]
- Hrapko M, van Dommelen JA, Peters GW, Wismans JS. The mechanical behaviour of brain tissue: large strain response and constitutive modelling. Biorheology. 2006;43:623–36. [PubMed] [Google Scholar]
- Margulies SS, Meaney DF. Brain tissues. In: Black J, Hastings G, editors. Handbook of Biomaterial Properties. Chapman and Hall; London: 1998. pp. 70–80. [Google Scholar]
- Meaney DF. Relationship between structural modeling and hyperelastic material behavior: application to CNS white matter. Biomech Model Mechanobiol. 2003;1:279–93. doi: 10.1007/s10237-002-0020-1. [DOI] [PubMed] [Google Scholar]
- Miller K. Biomechanics of Brain for Computer Integrated Surgery. Warsaw University of Technology Publishing House; Warsaw: 2002. [Google Scholar]
- Morrison B, III, Cater HL, Wang CC-B, Hung CT, Ateshian GA, Sundstrom LE. Post-traumatic cell death in the hippocampus is dependent on tissue strain and strain rate; Proceedings of the 21st Annual National Neurotrauma Society Symposium; 2003. (abstract) [Google Scholar]
- Morrison B, III, Meaney DF, Margulies SS, McIntosh TK. Dynamic mechanical stretch of organotypic brain slice cultures induces genomic expression: relationship to mechanical parameters. ASME J. Biomechanical Engineering. 2000;122:224–230. doi: 10.1115/1.429650. [DOI] [PubMed] [Google Scholar]
- Nekouzadeh A, Pryse KM, Elson EL, Genin GM. A simplified approach to quasi-linear viscoelastic modeling. Journal of Biomechanics. 2007 doi: 10.1016/j.jbiomech.2007.03.019. doi:10.1016/j.jbiomech.2007.03.019. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ommaya AK, Faas F, Yarnell P. Whiplash injury and brain damage. J Am Med Assoc. 1968;204:285–9. [PubMed] [Google Scholar]
- Poquillon D, Viguier B, Andrieu E. Experimental data about mechanical behaviour during compression tests for various matted fibres. Journal of Materials Science. 2005;40:5963–5970. [Google Scholar]
- Pryse KM, Nekouzadeh A, Genin GM, Elson EL, Zahalak GI. Incremental Mechanics of Collagen Gels: New Experiments and a New Viscoelastic Model. Annals of Biomedical Engineering. 2003;31:1287–1296. doi: 10.1114/1.1615571. [DOI] [PubMed] [Google Scholar]
- Smith DH, Wolf JA, Lusardi TA, Lee VM, Meaney DF. High tolerance and delayed elastic response of cultured axons to dynamic stretch injury. Journal of Neuroscience. 1999;19:4263–4269. doi: 10.1523/JNEUROSCI.19-11-04263.1999. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Zhang L, Yang KH, King AI. Biomechanics of neurotrauma. Neurol Res. 2001;23:144–56. doi: 10.1179/016164101101198488. [DOI] [PubMed] [Google Scholar]

