Tensile mechanical analysis of anisotropy and velocity dependence of the spinal cord white matter:a biomechanical study
2021-04-29NorihiroNishidaItsuoSakuramotoYoshihiroFujiiRudolfYogaHutamaFeiJiangJunjiOhgiYasuakiImajoHidenoriSuzukiMasahiroFunabaXianChenTakashiSakai
Norihiro Nishida , Itsuo Sakuramoto, Yoshihiro Fujii, Rudolf Yoga Hutama,Fei Jiang, Junji Ohgi, Yasuaki Imajo Hidenori Suzuki Masahiro FunabaXian Chen, Takashi Sakai
Abstract In spinal cord injuries, external forces from various directions occur at various velocities. Therefore, it is important to physically evaluate whether the spinal cord is susceptible to damage and an increase in internal stress for external forces. We hypothesized that the spinal cord has mechanical features that vary under stress depending on the direction and velocity of injury. However, it is difficult to perform experiment because the spinal cord is very soft. There are no reports on the effects of multiple external forces. In this study, we used bovine spinal cord white matter to test and analyze the anisotropy and velocity dependence of the spinal cord. Tensile-vertical, tensile-parallel, shear-vertical,and shear-parallel tests were performed on the white matter in the fibrous direction (cranial to caudal). Strain rate in the experiment was 0.1, 1, 10, and 100/s. We calculated the Young’s modulus of the spinal cord. Results of the tensile and shear tests revealed that stress tended to increase when external forces were applied parallel to the direction of axon fibers, such as in tensile-vertical and shear-vertical tests.However, external forces those tear against the fibrous direction and vertically, such as in tensile-parallel and shear-parallel tests, were less likely to increase stress even with increased velocity. We found that the spinal cord was prone to external forces, especially in the direction of the fibers, and to be under increased stress levels when the velocity of external forces increased. From these results, we confirmed that the spinal cord has velocity dependence and anisotropy. The Institutional Animal Care and Use Committee of Yamaguchi University waived the requirement for ethical approval.
Key Words: anisotropy dependence; external force; mechanistic analysis; spinal cord injury; straining rate; stress; velocity dependence; white matter
Introduction
Spinal cord diseases such as cervical spondylotic myelopathy,posterior longitudinal ligament ossification, and spinal cord tumors, like traumatic injuries do, often present with symptoms associated with a mechanical insult to the spinal cord, resulting in tissue damage that affects patients’ activities of daily life (Iyer et al., 2016; Eckert and Martin, 2017; Kretzer, 2017; Pepke et al., 2018; Boody et al., 2019; Ottenhausen et al., 2019).
Because spinal cord disorders are associated with injuries of gray matter and white matter (Bhattacharyya, 2018), it is important to understand the mechanical properties of thesetissues. The mechanical properties of spinal cord gray matter,white matter, and the saddle (the nerve root and the cauda equina) have been characterized in tension (Ichihara et al.,2003, 2004, 2015), indentation (Koser et al., 2015), pipette aspiration (Ozawa et al., 2001), unconfined compression(Jannesar et al., 2018), compression analysis (Nishida et al.,2020), and age-related mechanical effects of gray matter and white matter (Okazaki et al., 2018).
Spinal cord injuries occur when strong external forces, such as a car accident or a fall, are applied to the spinal cord(Eckert and Martin, 2017). Initial mechanical trauma includes traction, compression forces and stretch injury (McDonald and Sadowsky, 2002; Henderson et al., 2005). Such forces are known to cause spinal cord injury, but few studies have examined how velocity and anisotropy affect the white matter.We hypothesize the spinal cord has mechanical features that vary under stress according to the direction and velocity of the injury. An understanding of this feature could provide clues for interpreting preoperative and postoperative images of intraspinal stress and to the manipulations to watch out during surgery.
Thus, we conducted a study using bovine white matter to test the anisotropy and velocity dependence of the spinal cord.The objective of our study was to examine the mechanical properties of the spinal cord regarding speed and direction and to address the lack of information in the literature.
Materials and Methods
Animals
The Holstein cows were killed through exsanguination at a meat center in one author’s prefecture; it is a licensed institute. The experiment involved the use of spinal cords that tested negative for bovine spongiform encephalopathy and were sourced within 6 hours of slaughter. The spinal cord was wrapped in gauze dipped in saline and placed in plastic. It was then immersed in ice water in a cooler box and transported to the laboratory within 30 minutes. The spinal cord was investigated at 22°C as reported earlier (Ichihara et al., 2003). The experiment was completed within 12 hours of animal slaughter. The experiment was completed within 12 hours of slaughter. The specimens and instruments used for this experiment were prepared under the instruction and supervision of the Hofu City Public Health Center and the Yamaguchi Prefecture Department of Sanitation. Our study used spinal cords of cows that were slaughtered for food. The Institutional Animal Care and Use Committee of Yamaguchi University waived the requirement for ethical approval. The university’s regulations provide for review of research that uses living animals.
We used only spinal cords collected from Holstein cows,because of their relatively high availability. Experiments were conducted using spinal cords from 10 vertebrae of Holsteins that were between 20 and 22 months of age. The section of the spinal cords that we used covered from the first cervical vertebra to the first thoracic vertebra. Both ends of the cord were cut off because they could have been injured by the tensile load that was applied to the neck of cows during slaughter (Figure 1A).
After a semicircular polyethylene terephthalate agent was inserted into the trabeculae between the pia mater and the arachnoid membrane of the spinal cord, the fibrous tissue connecting the arachnoid membrane and the pia mater were cut off to excise the spinal cord (Figure 1B). Next, the spinal cord was spread, starting at the dorsal median sulcus. The gray matter was damaged in the spreading stage, so only the white matter could be cleanly expanded (Figure 1B).
A test sample was prepared that took into account the direction of the axon fibers (Figure 2A). The size of the crosssectional area was required to calculate the stress. The length of the test specimen was about 1 cm and the test site had a gage length of 4 mm. The site grasped during the test was the edge. The width and thickness of samples were measured with an optical transmission sensor (IG-010, Keyence, Tokyo,Japan) at three different points and with a gage length of 4 mm (Figure 2B).
The spinal parenchyma was soft and watery. A tensile jig was needed to hold the test sample in place. We created a separate jig with a plastic clip. The test sample was sandwiched and fixed in place with enough force to prevent the test sample from being crushed. Shaped cushioning material (Sanwa Co., Ltd., Fukuoka, Japan) was attached between the test sample and the jig to prevent slippage caused by moisture in the test sample during the tensile test(Figure 3A).
Test equipment and test methods
Tensile test
On the basis of the velocity and displacement data provided by the personal computer (PC) via serial communication, the host controller sent control pulses to the servo controller(SRCD10+RGU-2 Yamaha, Iwata, Japan). Next, a servomotor(T9H 20BK-400, Yamaha) applied a hammer attached to the actuator of the slider to perform a tensile test. The displacement data of the test sample were measured by a rotary encoder coaxially mounted on a servomotor. The data were then loaded into a PC through a servo controller, a host controller, and an encoder board (PCI-6204, Interface,Hiroshima, Japan). The load data of the test samples were measured by a load cell (LTS-100GA, Kyowa Electronic Instruments Co., Ltd., Tokyo, Japan), and then were loaded into a PC via a dynamic strainmeter (DPM-700B, Kyowa Electronic Instruments) and an analog-to-digital conversion board (PCI-3171A, Interface;Figure 3BandC).
Tensile tests were performed at crosshead speeds of 0.4, 4,40, and 400 mm/s (strain rates of 0.1, 1, 10, and 100/s) with a gauge length of 4 mm and at a sampling frequency of 5 kHz.
Shear test
On the basis of the velocity and displacement data given to the PC via serial communication, the host controller gave control pulses to the servo controller (RDX X05-1475544,Yamaha). Next, a hammer attached to the actuator (FLIP-X T5LH20-200, Yamaha) was placed horizontally on the slider to break the test sample and the shear test was performed.The displacement data of the test sample was measured by a rotary encoder coaxially attached to the servomotor and imported into a PC via a servo controller, a host controller,and an encoder board (PCI-6204, Interface). The load data of the test samples were measured as voltage data by a load cell(LTS-100GA, Kyowa Electronic Instruments) and imported into a PC via a dynamic strainmeter (DPM-700B, Kyowa Electronic Instruments) and an analog-to-digital conversion board (DPM-700B and PCI-3171A, respectively; Interface).
We designed a shear test apparatus to cause shearing upon hammer impact. The slider was fixed so that the test could not be performed at a constant speed because of the movement of the slider (Figure 4).
Shear tests were performed at crosshead speeds of 0.4, 4,40, and 400 mm/s (strain rates of 0.1, 1, 10, and 100/s) with a gauge length of 4 mm and at a sampling frequency of 5 kHz.
Diffuse axonal damage was reported to occur with a shear strain of 10% to 50% and a strain rate of 10 to 50/s (Margulies et al., 1990; Morrison et al., 1998). We set the strain and strain rate in accordance with the protocols of those two studies. Elastic modulus (Young’s modulus) of the specimen was calculated in the range of strain 10–50% assumed in traffic traumatic brain injury with reference to the two studies.The calculations were made in the range of 0.1 to 0.5 strains.The difference in stress between 0.1 and 0.5 strains was obtained by referring to the literature and dividing that value by 0.4.Tensile-vertical (TV), tensile-parallel (TP), shear-vertical (SV),and shear-parallel (SP) tests were performed on white matter in the direction of the fibers (Figure 5).
Statistical analysis
The sex, age and collection site (spinal cord) were the same for all experimental animals. Therefore, one-way analysis of variance was performed between the elastic modulus for strain rates of 0.1, 1, 10, and 100/s and the direction of the test (TV, TP, SV, and SP) for velocity-dependence and anisotropic analyses. Statistical analysis was performed with StatFlex software version 6 (Artec Co., Ltd., Osaka, Japan).Pvalues < 0.05 were considered statistically significant. Bars represent the mean ± standard deviation.
Results
The cross-sectional areas of the spinal cord specimen are shown inTable 1. Data on stress and its standard deviation at 0.1 and 0.5 strains for test samples of white matter subjected to tensile and shear tests at different rates of strain are shown inTable 2. The standard deviation of Young’s modulus values and the number of test samples are shown inTable 3.

Figure 1|Spine and spinal cords collected from Holstein cows.

Figure 2|Method for preparing spinal cord specimens from Holstein cattle.
Stress-strain curve of the four types of moduli are presented inFigure 6. The stress increased with increasing strain rate in all test conditions. Stress was found to be strain ratedependent.Figure 7shows the effect of the test method(A; SV, B; TV, C; SP, and D; TP) on strain rate (0.1, 1, 10, and 100/s). The vertical and horizontal axes represent Young’s modulus values and strain rates, respectively. TV showed no significant difference from 0.1 to 10/s, but at 100/s, the stress significantly increased (P< 0.05) over the stresses at other speeds (Figure 7A). TP showed no significant difference from 0.1 to 10 mm/s, but the stresses increased at 100/s more than at the other speeds (P< 0.001;Figure 7B). SV showed no significant difference in white matter stress with increasing velocity (Figure 7C). SP showed no significant difference from 0.1 to 1/s, but there was a significant difference from 1 to 10/s(P< 0.05), and a speed of 100/s increased the stress more than the other speeds (P< 0.001;Figure 7D).
The results for each test at each strain rate are shown inFigure 8. Under the 0.1/s condition, TV (P< 0.05) and SP (P< 0.01) each increased the stress for SV with a significant difference. TP showed a significant increase in stress for all directions (P< 0.001;Figure 8A). Under the 1/s condition,the stresses of TV (P< 0.05) and SP (P< 0.001) for SV each increased with a significant difference. TP showed a significant increase in stress for all directions (P< 0.001;Figure 8B).Under the 10/s condition, SP (P< 0.001) significantly increased the stress with respect to SV. For TV, SP (P< 0.001) increased the stress significantly, whereas TP significantly increased the stress for all directions (P< 0.001;Figure 8C). Under the 100/s condition, the stresses were significantly increased for TV (P<0.05), SP (P< 0.001), and TV (P< 0.001), and for SV and TP (P< 0.001) in all directions (P< 0.001;Figure 8D).

Figure 3|The tensile jig.

Figure 4|Setup of the shear test and diagram.

Figure 5|Tensile and shear tests on white matter of cows.

Figure 6|Stress-strain curve for each strain rate.

Figure 7|Each strain rate-dependence analysis for the effect of the test method (TV, TP, SV, and SP).

Figure 8|Effect of the anisotropy analysis for the effect of each strain rate.

Table 1 |Cross section area at 3 points (white circles shown in Figure 2B)with a gage length of 4 mm in the spinal cord specimen harvested from cows

Table 2 |Characterizations of stress-strain of the spinal cord harvested from cows at a strain of 0.1 and 0.5 mm/s

Table 3 |Elastic modulus of the spinal cord specimen harvested from cows
Discussion
We used bovine white matter to test and analyze the anisotropy and velocity dependence of the spinal cord. The tests were performed on the white matter in the fibrous direction (cranial to caudal) changing strain rate. Results of the tensile and shear tests showed that stress tends to increase when external forces are applied parallel to the direction of axon fibers. However, external forces those tear against the fibrous direction and vertically were less likely to increase stress even with increased velocity. We found the spinal cord to be prone to external forces, especially in the direction of the fibers, and to be under increased stress levels when the velocity of external forces increased.
The pathogenesis of spinal cord injury can be divided into primary and secondary injuries. Primary injury is a direct result of external forces at the time of occurrence, whereas secondary injury consists of the subsequent ischemia,inflammation, and apoptosis (Tator and Fehlings, 1991).
We focused mainly on primary damage: direct traumatic forces to the spinal cord (such as trauma, herniated discs,spinal tumors, intraoperative manipulation) and external forces caused by spinal alignment changes and other events(intervertebral instability, impingement, and adjacent intervertebral disorders). Direct injuries, such as herniation of discs, cervical ossification of the posterior longitudinal ligament, and trauma, are relatively easy to see on static medical images. There is the situation in cases of paralysis in which kyphosis develops after posterior decompression of the cervical and thoracic ossification of the posterior longitudinal ligament (Nishida et al., 2017; Ma et al., 2018;Uei et al., 2018; Kim et al., 2020). Such dynamic factors of the spinal cord (Miyazaki et al., 2017) can be evaluated with kinematic magnetic resonance imaging and spinal cord contrast-enhanced computed tomography, but this is difficult on the patient and is laborious for the health-care provider,so the attending physician must be able to assess the stress in the spinal cord from X-rays and static images. Furthermore,transient neurological deficits have been reported in surgical procedures for spinal tumors that directly manipulate the spinal cord (Ottenhausen et al., 2019). This may be due in part to the incision of the spinal cord for resection of the tumor and to direct external forces during retraction. Clinically, as mentioned above, there are reports that speculate on the damage to the spinal cord.
The soft tissue of living organisms is nonlinear, anisotropic,incompressible and incompressible heterogeneous material with high water content. Because of this, it exhibits viscoelastic behavior. Thus, in the weak tensile range, it responds to deformation and the strain curve rises sharply as the strain is increased. A similar behavior was observed in the white matter experiment. The results for the strain curve differ depending on the internal structure of the biological tissue. Previous experiments have been performed on the brain, blood vessels, lungs, articular cartilage and skin (Azuma and Hasegawa, 1973; Sato et al., 1979; Vawter, 1983). Thesetissues are also anisotropic, with collagen and elastin oriented along the Langer fibrils in the skin and providing high tension in this direction. The spinal cord has also been shown to have axonal fibers in the long axis direction (Naidich, 2011).Findings in the literature concerning the effect of tissue type on the time-independent mechanical properties of the spinal cord are varied.
The mechanical properties of spinal cord grey and white matter have been studied in tension (Ichihara et al., 2003,2004), indentation (Koser et al., 2015), pipette aspiration(Ozawa et al., 2001) and unconfined compression (Jannesar et al., 2018). Ichihara et al. (2003) and Koser et al. (2015)reported that grey matter was stiffer than white matter. On the other hand, Koser et al. (2015) measured anisotropy and showed that grey matter behaved like an isotropic material.Specifically, the transverse direction was 1.6 times stiffer than the axial direction. Also, Ozawa et al. (2001) found no difference between tissue types, possibly because they used low-peak strains.
Sharkey (2018) quantified thein vivomechanical properties of the spinal cord and found white matter to be stiffer than grey matter. Nishida et al. (2015) reported that different neural tissues showed varying stiffnesses and tensile strengths,with the cauda equina being 17 and 47 times harder than spinal cord gray and white matter, respectively. Nishida et al.(2020) also reported compression analysis of the gray and white matter. Okazaki et al. (2018) demonstrated age-related differences in the hardness of neural tissues from older and younger cows. Clearly, the published results vary depending on the type of animals, tensile strength and strain rate.Although all of the results to date are valuable, there is still a need for continued experimentation in this area.
We investigated the effects of velocity and anisotropy on the spinal cord, as well as the external forces that tend to increase intraspinal stress. The tensile and shear tests showed that stress tends to increase when external forces are applied parallel to the direction of axon fibers such as TP and SP. The tests conducted here confirmed that spinal white matter is anisotropic. Moreover, stress tends to increase with increasing strain rate, confirming that spinal white matter has velocity dependence. For TV and SV, the strain rate is irrelevant.However, for SP the strain rate is over 100/s, indicating the possibility of damage caused by low strain rates in PV. We believe the anisotropy and velocity dependence of the spinal cord are two causes of paralysis that are more likely to occur with acute external forces than with chronic compression. The external forces that tear vertically against the fibrous direction are less likely to increase stress, even with increased velocity.The spinal cord was found here to be somewhat durable, even with the anterior compression and retractions experienced during surgery.
There are some limitations to our study. First, our results are variable, and the cross-sectional area of the vertically cut specimens was not uniform. Therefore, the content of the anterior, lateral, and posterior funiculi are not uniform,and analysis of each part was not done. Also, the number of our experiments was low. Baba et al. (1997) reported that cell population in the anterior horn starts to decrease when the cross-sectional area of the cord is decreased by 30%due to compression and reaches a plateau when the area is decreased by 50%. In clinical practice, it is not known how much strain and strain rate damage will produce spinal cord injury. The present study evaluated only the anisotropic and velocity-dependent features. It is thus impossible to explain the relationship between tensile/shear injury and spinal cord function. Furthermore, increased stress does not represent a spinal cord injury. Finally, gray matter was not assessed.These limitations mean that age-related changes in the spinal cord and the effects of blood flow were not factored into our findings.
Conclusion
Mechanistic analysis of anisotropy and velocity dependence of spinal white matter showed that spinal white matter is prone to damage by external forces, especially in the direction of the fibers (cranial to caudal), and that there is an increase in stress when the velocity of the external forces increases.These findings may be helpful in understanding the mechanics of spinal cord injury, the stresses occurring in the spinal cord preoperatively and postoperatively, and how to most carefully manipulate the spinal cord intraoperatively.
Acknowledgments:We thank the Department of Mechanical and Electrical Engineering of the National Institute of Technology Tokuyama College for its cooperation. Medical editor Katharine O’Moore-Klopf provided professional English-language editing of the manuscript for this article.
Author contributions:NN wrote and prepared the manuscript. IS, FJ, YF,RYH, and JO performed the experiment, and XC gathered the data. NN,YI, HS, MF, and TS provided advice. All authors participated in the study design, have read, reviewed and approved the final version of the article.
Conflicts of interest:No benefits in any form have been received or will be received by a related commercial party directly or indirectly to the subject of this article.
Financial support:This work was supported by the Japan Society for the Promotion of Science (KARENHI grant number JP 15K20002) and by the Yamaguchi University Hospital (a translational promotion grant).
Institutional review board statement:The Institutional Animal Care and Use Committee of Yamaguchi University waived the requirement for ethical approval. The regulations of the university provide review of researches that use living animals. Our study used spinal cords of cows that were slaughtered for food. Therefore, our study was excluded from ethical review.
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Data sharing statement:Datasets analyzed during the current study are available from the corresponding author on reasonable request.
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