Skip to main content

ORIGINAL RESEARCH article

Front. Integr. Neurosci., 04 February 2022
This article is part of the Research Topic Mechanisms and Models of Musculoskeletal Pain and Nonpharmacological Treatment View all 9 articles

Force Distribution Within Spinal Tissues During Posterior to Anterior Spinal Manipulative Therapy: A Secondary Analysis

  • 1Division of Research and Innovation, Canadian Memorial Chiropractic College, Toronto, ON, Canada
  • 2Chiropractic Department, Université du Québec à Trois-Rivières, Trois-Rivières, QC, Canada
  • 3Faculty of Science and Technoloy, Bournemouth University, Poole, United Kingdom
  • 4Faculty of Medicine, Memorial University of Newfoundland, St. John’s, NL, Canada
  • 5Department of Electrical and Computer Engineering, Université du Québec à Trois-Rivières, Trois-Rivières, QC, Canada
  • 6Human Kinetics Department, Université du Québec à Trois-Rivières, Trois-Rivières, QC, Canada
  • 7Department of Physical Therapy, University of Alberta, Edmonton, AB, Canada

Background: Previous studies observed that the intervertebral disc experiences the greatest forces during spinal manipulative therapy (SMT) and that the distribution of forces among spinal tissues changes as a function of the SMT parameters. However, contextualized SMT forces, relative to the ones applied to and experienced by the whole functional spinal unit, is needed to understand SMT’s underlying mechanisms.

Aim: To describe the percentage force distribution between spinal tissues relative to the applied SMT forces and total force experienced by the functional unit.

Methods: This secondary analysis combined data from 35 fresh porcine cadavers exposed to a simulated 300N SMT to the skin overlying the L3/L4 facet joint via servo-controlled linear motor actuator. Vertebral kinematics were tracked optically using indwelling bone pins. The functional spinal unit was then removed and mounted on a parallel robotic platform equipped with a 6-axis load cell. The kinematics of the spine during SMT were replayed by the robotic platform. By using serial dissection, peak and mean forces induced by the simulated SMT experienced by spinal structures in all three axes of motion were recorded. Forces experienced by spinal structures were analyzed descriptively and the resultant force magnitude was calculated.

Results: During SMT, the functional spinal unit experienced a median peak resultant force of 36.4N (IQR: 14.1N) and a mean resultant force of 25.4N (IQR: 11.9N). Peak resultant force experienced by the spinal segment corresponded to 12.1% of the total applied SMT force (300N). When the resultant force experienced by the functional spinal unit was considered to be 100%, the supra and interspinous ligaments experienced 0.3% of the peak forces and 0.5% of the mean forces. Facet joints and ligamentum flavum experienced 0.7% of the peak forces and 3% of the mean forces. Intervertebral disc and longitudinal ligaments experienced 99% of the peak and 96.5% of the mean forces.

Conclusion: In this animal model, a small percentage of the forces applied during a posterior-to-anterior SMT reached spinal structures in the lumbar spine. Most SMT forces (over 96%) are experienced by the intervertebral disc. This study provides a novel perspective on SMT force distribution within spinal tissues.

Introduction

Spinal manipulative therapy (SMT) is a conservative intervention commonly used to treat spinal pain and other musculoskeletal conditions (Hurwitz, 2012; Beliveau et al., 2017). It involves the application of a high velocity, low amplitude force to a targeted region of the spine (Triano, 2001; Herzog, 2010). These applied forces mechanically load the spine and surrounding structures, capable of triggering neuromechanical responses which are considered to be related to physiological and clinical effects (Lima et al., 2020; Gevers-Montoro et al., 2021). Forces applied during SMT have been the focus of several studies, primarily to investigate how the input parameters of SMT (e.g., force-time characteristics, application site, etc.) influence the resulting neuromechanical responses (Pasquier et al., 2019; Lima et al., 2020).

The force magnitude of SMT during preload has been reported to influence vertebral displacement, paraspinal muscle activity, and muscle spindle discharge frequency (Nougarou et al., 2014b; Reed et al., 2014a). The total peak force magnitude at the thrust phase has also been observed to influence vertebral displacement and acceleration, paraspinal muscle activity, and mechanical thresholds of lateral thalamic nociceptive specific neurons (Keller et al., 2003, 2006; Colloca et al., 2004, 2006; Nougarou et al., 2014a; Reed et al., 2014b). Similarly, the SMT thrust amplitude (displacement) has been reported to influence muscle spindle discharge frequency (Pickar et al., 2007). The interaction between SMT force amplitude and duration significantly influenced spinal stiffness and muscle spindle discharge frequency (Pickar et al., 2007; Vaillant et al., 2012; Cao et al., 2013). SMT thrust duration was shown to influence vertebral displacement and acceleration, paraspinal muscle activation and muscle spindle discharge frequency (Colloca et al., 2006; Pickar and Kang, 2006; Pagé et al., 2014). SMT thrust loading rate has also been observed to influence vertebral displacements and muscle spindle response (Reed et al., 2013; Nougarou et al., 2016). In addition to these force-time characteristics, other input parameters, such as location of applied force has also been investigated and reported to influence vertebral displacements, spinal stiffness, paraspinal muscle activity and muscle spindle discharge frequency (Colloca and Keller, 2001; Keller et al., 2003; Colloca et al., 2004; Edgecombe et al., 2013; Reed et al., 2015; Reed and Pickar, 2015).

Previous biomechanical studies have investigated the loading of spinal structures during SMT application and how forces are distributed among them. Specifically, the intervertebral disc has been shown to experience the greatest forces during SMT (Kawchuk et al., 2010; Funabashi et al., 2016). Additionally, the distribution of SMT forces among spinal tissues has been shown to change as a function of the applied SMT parameters, such as location at which SMT is applied and method of SMT application (Funabashi et al., 2017a,b, 2018).

Although the absolute force magnitudes experienced by spinal structures during SMT have been reported (Kawchuk et al., 2010; Funabashi et al., 2016, 2017a,b,2018), the detailed description of the SMT force distribution within spinal structures, presented as percentages of the total applied force, has not been published. Such description would put the magnitude of forces experienced by the spinal segment and each spinal structure into context relative to applied SMT and the whole functional spinal unit, respectively. This, in turn, can have significant impact on advancing our knowledge regarding SMT’s underlying mechanisms and may help inform future clinical investigations. Specifically, preferential loading of certain spinal structures as a function of the SMT input parameters may have an influence on SMT’s neuromechanical effects. Consequently, clarifying the proportion of applied SMT forces that reach spinal tissues, and their respective distribution, will advance our understanding of the underlying mechanisms of SMT and potentially improve the effectiveness and safety of SMT.

Therefore, the aim of this study was to describe the SMT force distribution between spinal tissues in terms of percentage of the total applied SMT force, and the total force experienced by the spinal segment.

Materials and Methods

This was a secondary analysis of the forces experienced by spinal structures during a standardized posterior-to-anterior SMT application. A subset of data from three previous studies with similar experimental procedures were combined (Funabashi et al., 2017a,b, 2018). The first study (n = 10) investigated the potential interaction between SMT force magnitude and location of application, applying 100N, 300N, and 500N SMTs at the skin overlying the left L3/L4 facet joint and L4 transverse process (Funabashi et al., 2017a). The second study (n = 13) investigated the change in SMT force distribution among spinal structures when a 300N SMT was applied at different locations: the skin overlying L2/L3 and L3/L4 facet joints, L3 and L4 transverse processes and the interspace between those facet joints and transverse processes (Funabashi et al., 2018). The third study (n = 12) compared the forces experienced by spinal tissues when different methods were used to apply an SMT to the skin overlying the left L3/L4 facet joint (Funabashi et al., 2017b).

Thus, this secondary analysis includes data from 35 fresh porcine cadaveric models [Duroc × (Large White × Landrace breeds)] of approximately 60–65 kg who received a standardized SMT simulation (30 N preload, 300 N peak force, time to peak of 112.5 ms and consequent 2.6 N/ms loading rate) to the skin overlying the left L3/L4 facet joint applied by a mechanical device using a servo-controlled linear motor actuator (Descarreaux et al., 2013; Figure 1). The detailed methods from each study have been previously reported, but in brief, the three-dimensional SMT vertebral kinematics for each specimen were tracked optically using bone pins drilled into L3 and L4 vertebral bodies with attached infrared light-emitting diode markers (Optotrack Certus, NDI, Waterloo, Canada) at a rate of 400 Hz with a 0.01 mm system resolution and a 0.15 mm rigid body resolution. After SMT application, the L3/L4 functional spinal unit was removed en bloc, cleaned of non-ligamentous tissues, and potted in a vertical orientation using dental stone (Modern Materials, South Bend, IN, United States). The caudal end of the specimen was then fixed to a 6-axis load cell (AMTI MC3A-1000, Advanced Mechanical Technology, Inc., Watertown, MA, United States), which was mounted rigidly to a parallel robot platform (Parallel Robotics Systems Corp., Hampton, NH, United States) (Figure 2) with the anatomical axes of the specimen aligned with both the load cell and the robot axes: x = mediolateral (positive in the left direction), y = anterioposterior (positive in the posterior direction), and z = superioinferior (positive in the superior direction). The cranial end of the specimen was fixed to a stationary cross beam and, following the procedures described by Goldsmith et al. (2015), the marker movements caused by SMT were transformed into robot trajectories that replicated the relative motions between L3 and L4 vertebrae recorded by the optical tracking system (Goldsmith et al., 2015). The SMT trajectories were then applied by the robot and forces experienced by the spinal segment were recorded by the load cell. For all specimens, 3 pre-conditioning trials were completed prior to testing and data collection.

FIGURE 1
www.frontiersin.org

Figure 1. Experimental set up: porcine cadaveric model with rectangular flags with four infrared light-emitting diode markers attached to bone pins drilled into L3 and L4 vertebrae and the mechanical device with a servo-controlled linear motor actuator to apply the standardized spinal manipulative therapy

FIGURE 2
www.frontiersin.org

Figure 2. Potted specimen with L4 (bottom pot) fixed to the 6-axis load cell and L3 (upper pot) fixed to a stationary cross beam.

Following application of SMT robotic trajectories in the intact specimen, spinal structures were then removed and/or transected and the same robotic trajectories repeated. In this way, the loading distribution within specific spinal tissues was quantified. In all studies, the following spinal structures were removed/transected (via scalpel unless otherwise noted) in the same order for all specimens: (1) supraspinous and interspinous ligaments, (2) bilateral facet capsules, posterior facet joints (via rongeur) and ligamentum flavum, (3) intervertebral disc and anterior and posterior longitudinal ligaments. By using serial dissection, peak (maximum force during thrust) and mean (average force during preload and thrust) forces induced by the simulated SMT experienced by spinal structures in all three axes of motion were recorded and analyzed descriptively. As the objective of this study was to describe the SMT force distribution between spinal tissues in terms of percentage relative to the applied SMT force and the total forces experienced by the spine segment, the resultant force magnitude (Fres) was calculated using Equation 1, where Fx corresponds to the force in the mediolateral direction, Fy is the force in the anterioposterior direction and Fz is the force in the superioinferior direction. Percentage of peak force experienced by the intact specimen was calculated in reference to the applied SMT force (i.e., the applied SMT peak force [300N] was considered 100%), and percentages of peak and mean forces experienced by each spinal tissue was calculated in reference to the those experienced by the intact specimen (i.e., the peak and mean forces experienced by the intact specimen were considered 100%).

F res = ( F x 2 + F y 2 + F z 2 ) (1)

Results

Vertebral Rotations

Mean L4 vertebral rotations relative to L3 created in the intact specimens at peak loads during the application of a posterior-to-anterior SMT were 1.33° (± 1.31) in the x-axis (flexion-extension), −0.57° (± 1.02) in the y-axis (lateral bending), and −0.94° (± 0.96) in the z-axis (axial rotation).

Forces

Force data presented a non-parametric distribution, therefore, descriptive statistics are presented as median and interquartile range (IQR). Table 1 presents the median and IQR peak forces in all three axes of motion experienced by the intact specimens and normalized relative peak forces experienced by spinal structures during a posterior-to-anterior SMT. Similarly, median mean forces in all three axes of motion experienced by the intact specimens and normalized relative mean forces experienced by spinal structures are presented in Table 2. Resultant force magnitude of intact specimen and spinal tissues as well as percentage forces of spinal structures relative to the intact specimen condition are also presented in Tables 1, 2.

TABLE 1
www.frontiersin.org

Table 1. Peak forces [median (IQR)] experienced by the intact specimens and normalized relative peak forces experienced by spinal structures.

TABLE 2
www.frontiersin.org

Table 2. Mean forces [median (IQR)] experienced by the intact specimens and normalized relative mean forces experienced by spinal structures.

As shown in Table 1, the intact functional spinal unit experienced a median peak resultant force magnitude of 36.4N (IQR: 14.1N), which corresponds to 12.1% of the total peak force that was applied during a posterior-to-anterior SMT (300N).

Discussion

This is the first study to describe the SMT force distribution within spinal structures in terms of percentage relative to the total applied SMT force and the total force experienced by the functional spinal unit. This comprehensive description of SMT force distribution may not only contribute to investigations of the mechanisms underlying this conservative intervention, but also guide training and education of SMT as well as future potential development of techniques to preferentially load specific spinal structures.

The vertebral motion of the L3/L4 segment indicates that at maximum load, the L4 vertebral body was in an average of 1.33° extension, 0.57° right lateral bend and 0.94° right axial rotation in relation to L3. Given the posterior-to-anterior SMT application to the left side of the spine, the observed vertebral motion was expected and in agreement with previous studies that have described vertebral movement during SMT (Gal et al., 1997; Kawchuk et al., 2010). Specifically, Kawchuk et al. (2010) reported similar vertebral motions to the current study during a manual SMT application in a similar model with average extension rotations of 1.96°, lateral bending of 0.61° and axial rotation of 0.45°. Additionally, Gal et al. (1997) observed extension rotations of 0.2°–1.8° and axial rotations of 0.4°–1.2° during manual SMT application at the low thoracic region of human cadavers. Although the vertebral motion magnitude can vary based on the force-time characteristics of the applied SMTs (Herzog et al., 1993; Forand et al., 2004), this provides additional evidence that a complex three-dimensional vertebral movement occurs in spinal segments during SMT application. Importantly, these findings align with previous studies and provides additional evidence that vertebral motion during a posterior-to-anterior SMT remains within normal ranges of motion reported in the literature (Kozanek et al., 2009; Li et al., 2009; Passias et al., 2011; Widmer et al., 2019).

Our results show that it is only a small percentage of the applied SMT forces that reaches spinal structures [median peak force 36.4N (14.1 IQR) of applied 300N] and that, among these, the majority of force is experienced by the intervertebral disc, which is in accordance with previous studies (Kawchuk et al., 2010; Funabashi et al., 2016, 2017a,b,2018). This may be related to the intervertebral disc’s contribution to resisting anteroposterior and lateral vertebral motions (Lu et al., 2005; Okushima et al., 2006). Additionally, Schmidt et al. (2007) observed that the combination of lateral bending with extension increased the intervertebral disc’s maximum shear strains, and that the combination of lateral bending with axial rotation, and axial rotation with extension increased the intervertebral disc’s posterolateral fiber strains (Schmidt et al., 2007). Given that a combination of all these motions occur during SMT, it is possible that the increased shear and fiber strains might be potentially related to the loading experienced by the intervertebral disc during SMT. Future biomechanical studies should investigate the specific intervertebral disc’s shear and strains during SMT to further elucidate the SMT effects on this structure.

Conversely, this secondary analysis showed that supraspinous and interspinous ligaments experienced the least forces during posterior-to-anterior SMT. This was not surprising as posterior-to-anterior SMT was observed to move the spinal unit into extension and previous studies have described the supraspinous and interspinous ligaments’ mechanical function to either restrain flexion (especially toward the end of flexion range on motion) (Hindle et al., 1990; Gillespie and Dickey, 2004), or anchor tendons and fascia (Aspden et al., 1987; Hukins et al., 1990). Of note, caudal forces experienced by these ligaments have been observed during SMT (Funabashi et al., 2018), which may be potentially associated with resisting compression during the extension SMT movement (Heuer et al., 2007a,b). Therefore, future studies should investigate the loading of spinal structures during other SMT techniques, such as side-posture SMT, to further elucidate the forces withstood by spinal ligaments.

Based on this study’s results, the greatest SMT loads are experienced by the intervertebral disc, however, these loads are still lower than the ones the disc experiences during passive axial rotation (Funabashi et al., 2016). In the literature, intradiscal pressure has been previously investigated during SMT (Lisi et al., 2006) and during normal activities of daily living, such as sitting and walking (Wilke et al., 1999). Despite the limitations of being two different studies with distinct methodologies, the reported intradiscal pressure during SMT was comparable to the intradiscal pressure reported during activities of walking and sitting combined with flexion, and lower than the pressures reported during sit to stand and lifting 20 kg (Wilke et al., 1999; Lisi et al., 2006). This indicates that although the intervertebral disc experiences the greatest loads during SMT, these are similar to the loads and pressure experienced by the lumbar spine during daily functional activities. However, given the viscoelastic property of biological tissues and the high-velocity dynamic nature of SMT thrust, it is possible that other SMT characteristics (such as loading rate and thrust speed) could elicit different intradiscal pressure and loading of the intervertebral disc. Importantly, patients with lumbar disc herniation have been observed to significantly improve their pain level and disability following SMT (Leemann et al., 2014; Shokri et al., 2018). This suggests that, in addition to changes in intradiscal pressure, SMT may elicit other intervertebral disc responses, which may contribute to SMT’s clinical effects. Indeed, previous studies have reported changes in water disc diffusion following SMT (Beattie et al., 2014; Wong et al., 2019), which has been described to influence the mechanical behavior of the intervertebral disc (Bhattacharya and Dubey, 2020) and could potentially contribute to SMT’s clinical outcomes. Nevertheless, further studies are needed to fully elucidate the underlying mechanisms of SMT and its effects on the intervertebral disc.

Clinical Implications

Although it has been described that SMT application characteristics significantly change the magnitude of loads experienced by each spinal structure (Kawchuk et al., 2010; Funabashi et al., 2016, 2017a,b,2018), results from this secondary analysis show that the intervertebral disc experiences over 96% of the forces that reach the spinal segment during SMT. Future research is needed to fully understand the clinical effects of SMT loading on the intervertebral disc. Additionally, given that a small percentage of the forces applied during a posterior-to-anterior SMT reaches spinal structures, future investigations are needed to quantify the loading of structures adjacent to the spine during this intervention.

Strengths and Limitations

This study combined several studies of similar standardized methodology to generate a more conclusive dataset regarding the distribution of SMT forces amongst spinal tissues, allowing results to be more robust. While anatomical differences between porcine models and humans are limitations, animal models play an important role in advancing our knowledge and understanding of SMT force distribution and its underlying effects for clinical application (Daly et al., 2016). To quantify loads experienced by discrete spinal tissues, all studies included in this secondary analysis underwent serial dissection removing spinal tissues in the same order in all specimens and, therefore, results are specific to this specific sequence of tissue removal (Funabashi et al., 2015). A different order of tissue removal may affect the loads within each spinal tissue, but not the loads observed for the intact specimen. Results from this analysis are specific to the mechanical posterior-to-anterior 300N SMT and other SMT techniques and force characteristics may present unique loading characteristics of spinal tissues. Additionally, studies included in this secondary analysis were conducted with healthy spine models, limiting the application of our results to pathological conditions. Differences between in vivo and in vitro conditions such as physiological and muscular effects limit the application of these results to living conditions. Finally, repeated robotic replication of SMT kinematics may potentially have affected the mechanical behavior of cadaveric tissues, so caution should be taken when interpreting our results.

Conclusion

In this animal model, 12.1% of the total peak forces applied during a mechanical, unilateral, posterior-to-anterior SMT reached spinal structures in the lumbar spine. Most SMT forces reaching spinal structures (over 96%) are experienced by the intervertebral disc. This study provides a novel perspective on SMT force distribution within spinal tissues, putting the magnitude of forces experienced by the spinal segment and each spinal structure into context relative to applied SMT and the whole functional spinal unit, respectively. These findings can be used to inform SMT training when using force-sensing technologies and guide future mechanistic investigations.

Data Availability Statement

The raw data supporting the conclusions of this article will be made available by the authors upon request, without undue reservation.

Ethics Statement

Ethical review and approval was not required for the animal study because this was a secondary analysis of data. All primary studies reporting original data state that experimental protocols were approved by the Animal Care and Use Committee of the University of Alberta.

Author Contributions

MF, AB, DD, and IP contributed to the study conceptualization. MF, AB, DD, IP, FN, MD, and GK contributed substantially to various aspects of the acquisition of original data, data analysis, and interpretation. MF drafted the manuscript. AB, DD, IP, FN, MD, and GK substantially revised it. All authors significantly contributed to the manuscript and approved the submitted version.

Funding

Data used in this study was supported by the funding from the Canadian Institutes of Health Research (CIHR # TIR-112758), Alberta References Innovates—Health Solutions (AIHS # 20111389), and the generosity of the Stollery Children’s Hospital Foundation and supporters of the Lois Hole Hospital for Women through the Women and Children’s Health Research Institute (WCHRI # RES0013182). GK was supported by the Canadian Research Chair Program.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s Note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

Aspden, R. M., Bornstein, N. H., and Hukins, D. W. (1987). Collagen organisation in the interspinous ligament and its relationship to tissue function. J. Anat. 155, 141–151.

Google Scholar

Beattie, P. F., Butts, R., Donley, J. W., and Liuzzo, D. M. (2014). The within-session change in low back pain intensity following spinal manipulative therapy is related to differences in diffusion of water in the intervertebral discs of the upper lumbar spine and L5-S1. J. Orthop. Sport Phys. Ther. 44, 19–29. doi: 10.2519/jospt.2014.4967

PubMed Abstract | CrossRef Full Text | Google Scholar

Beliveau, P. J. H., Wong, J. J., Sutton, D. A., Simon, N., Bussières, A. E., Mior, S. A., et al. (2017). The chiropractic profession: a scoping review of utilization rates, reasons for seeking care, patient profiles, and care provided. Chiropr. Man. Ther. 25, 1–17. doi: 10.1186/s12998-017-0165-8

PubMed Abstract | CrossRef Full Text | Google Scholar

Bhattacharya, S., and Dubey, D. K. (2020). Effect of aggrecan degradation on the nanomechanics of hyaluronan in extra-fibrillar matrix of annulus fibrosus: a molecular dynamics investigation. J. Mech. Behav. Biomed. Mater. 107:103752. doi: 10.1016/j.jmbbm.2020.103752

PubMed Abstract | CrossRef Full Text | Google Scholar

Cao, D., Reed, W. R., Long, C. R., Kawchuk, G. N., and Pickar, J. G. (2013). Effects of thrust amplitude and duration of high-velocity, low-amplitude spinal manipulation on lumbar muscle spindle responses to vertebra position and movement. J. Manipulative Physiol. Ther. 36, 68–77. doi: 10.1016/j.jmpt.2013.01.004

PubMed Abstract | CrossRef Full Text | Google Scholar

Colloca, C. J., and Keller, T. S. (2001). Stiffness and neuromuscular reflex response of the human spine to posteroanterior manipulative thrusts in patients with low back pain. J. Manipulative Physiol. Ther. 24, 489–500. doi: 10.1067/mmt.2001.118209

PubMed Abstract | CrossRef Full Text | Google Scholar

Colloca, C. J., Keller, T. S., and Gunzburg, R. (2004). Biomechanical and neurophysiological responses to spinal manipulation in patients with lumbar radiculopathy. J. Manipulative Physiol. Ther. 27, 1–15. doi: 10.1016/j.jmpt.2003.11.021

PubMed Abstract | CrossRef Full Text | Google Scholar

Colloca, C. J., Keller, T. S., Harrison, D. E., Moore, R. J., Gunzburg, R., and Harrison, D. D. (2006). Spinal manipulation force and duration affect vertebral movement and neuromuscular responses. Clin. Biomech. 21, 254–262. doi: 10.1016/j.clinbiomech.2005.10.006

PubMed Abstract | CrossRef Full Text | Google Scholar

Daly, C., Ghosh, P., Jenkin, G., Oehme, D., and Goldschlager, T. (2016). A review of animal models of intervertebral disc degeneration: pathophysiology, regeneration, and translation to the clinic. Biomed. Res. Int. 2016, 1–14. doi: 10.1155/2016/5952165

PubMed Abstract | CrossRef Full Text | Google Scholar

Descarreaux, M., Nougarou, F. F., and Dugas, C. (2013). Standardization of spinal manipulation therapy in humans: development of a novel device designed to measure dose-response. J. Manipulative Physiol. Ther. 36, 78–83. doi: 10.1016/j.jmpt.2012.12.007

PubMed Abstract | CrossRef Full Text | Google Scholar

Edgecombe, T. L., Kawchuk, G. N., Long, C. R., and Pickar, J. G. (2013). The effect of application site of spinal manipulative therapy (SMT) on spinal stiffness. Spine J. 15, 1332–1338. doi: 10.1016/j.spinee.2013.07.480

PubMed Abstract | CrossRef Full Text | Google Scholar

Forand, D., Drover, J. Z. S., Symons, B., Herzog, W., and Suleman, Z. (2004). The forces applied by female and male chiropractors during thoracic spinal manipulation. J. Manipulative Physiol. Ther. 27, 49–56. doi: 10.1016/j.jmpt.2003.11.006

PubMed Abstract | CrossRef Full Text | Google Scholar

Funabashi, M., El-Rich, M., Prasad, N., and Kawchuk, G. N. G. N. (2015). Quantification of loading in biomechanical testing: the influence of dissection sequence. J. Biomech. 48, 3522–3526. doi: 10.1016/j.jbiomech.2015.06.020

PubMed Abstract | CrossRef Full Text | Google Scholar

Funabashi, M., Kawchuk, G. N. G. N., Vette, A. H. A. H., Goldsmith, P., and Prasad, N. M. F. (2016). Tissue loading created during spinal manipulation in comparison to loading created by passive spinal movements. Sci. Rep. 6:38107. doi: 10.1038/srep38107

PubMed Abstract | CrossRef Full Text | Google Scholar

Funabashi, M., Nougarou, F., Descarreaux, M., Prasad, N., and Kawchuk, G. (2017a). Influence of spinal manipulative therapy force magnitude and application site on spinal tissue loading: a biomechanical robotic serial dissection study in porcine motion segments. J. Manipulative Physiol. Ther. 40, 387–396. doi: 10.1016/j.jmpt.2017.05.003

PubMed Abstract | CrossRef Full Text | Google Scholar

Funabashi, M., Nougarou, F., Descarreaux, M., Prasad, N., and Kawchuk, G. N. (2017b). Spinal tissue loading created by different methods of spinal manipulative therapy application. Spine 42, 635–643. doi: 10.1097/BRS.0000000000002096

PubMed Abstract | CrossRef Full Text | Google Scholar

Funabashi, M., Nougarou, F., Descarreaux, M., Prasad, N., and Kawchuk, G. N. (2018). Does the application site of spinal manipulative therapy alter spinal tissues loading? Spine J. 18, 1041–1052. doi: 10.1016/j.spinee.2018.01.008

PubMed Abstract | CrossRef Full Text | Google Scholar

Gal, J., Herzog, W., Kawchuk, G., Conway, P., and Zhang, Y.-T. (1997). Movements of vertebrae during manipulative thrusts to unembalmed human cadavers. J. Manipulative Physiol. Ther. 20, 30–40.

Google Scholar

Gevers-Montoro, C., Provencher, B., Descarreaux, M., Ortega de Mues, A., and Piché, M. (2021). Neurophysiological mechanisms of chiropractic spinal manipulation for spine pain. Eur. J. Pain 25, 1429–1448. doi: 10.1002/ejp.1773

PubMed Abstract | CrossRef Full Text | Google Scholar

Gillespie, K. A., and Dickey, J. P. (2004). Biomechanical role of lumbar spine ligaments in flexion and extension: determination using a parallel linkage robot and a porcine model. Spine 29, 1208–1216. doi: 10.1097/00007632-200406010-00010

PubMed Abstract | CrossRef Full Text | Google Scholar

Goldsmith, P., Wynd, S., and Kawchuk, G. (2015). Robotic measurement and control for chiropractic research. Appl. Bionics Biomech. 3, 43–48. doi: 10.1155/2006/830150

CrossRef Full Text | Google Scholar

Herzog, W. (2010). The biomechanics of spinal manipulation. J. Bodyw. Mov. Ther. 14, 280–286. doi: 10.1016/j.jbmt.2010.03.004

PubMed Abstract | CrossRef Full Text | Google Scholar

Herzog, W., Conway, P., Kawchuk, G., Zhang, Y.-T., and Hasler, E. (1993). Forces exerted during spinal manipulative therapy. Spine 18, 1206–1212.

Google Scholar

Heuer, F., Schmidt, H., Claes, L., and Wilke, H. J. (2007a). Stepwise reduction of functional spinal structures increase vertebral translation and intradiscal pressure. J. Biomech. 40, 795–803. doi: 10.1016/j.jbiomech.2008.03.023

PubMed Abstract | CrossRef Full Text | Google Scholar

Heuer, F., Schmidt, H., Klezl, Z., Claes, L., and Wilke, H.-J. (2007b). Stepwise reduction of functional spinal structures increase range of motion and change lordosis angle. J. Biomech. 40, 271–280. doi: 10.1016/j.jbiomech.2006.01.007

PubMed Abstract | CrossRef Full Text | Google Scholar

Hindle, R. J., Pearcy, M. J., and Cross, A. (1990). Mechanical function the human lumbar interspinous and supraspinous ligaments. J. Biomed. Eng. 12, 340–344. doi: 10.1016/0141-5425(90)90010-K

CrossRef Full Text | Google Scholar

Hukins, D., Kirby, M., Sikoryn, T., Aspden, R., and Cox, A. (1990). Comparison of structure, mechanical properties and functions of lumbar spinal ligaments. Spine 15, 787–795.

Google Scholar

Hurwitz, E. L. (2012). Epidemiology: spinal manipulation utilization. J. Electromyogr. Kinesiol. 22, 648–564. doi: 10.1016/j.jelekin.2012.01.006

PubMed Abstract | CrossRef Full Text | Google Scholar

Kawchuk, G. N., Carrasco, A., Beecher, G., Goertzen, D., and Prasad, N. (2010). Identification of spinal tissues loaded by manual therapy: a robot-based serial dissection technique applied in porcine motion segments. Spine 35, 1983–1990. doi: 10.1097/BRS.0b013e3181ddd0a3

PubMed Abstract | CrossRef Full Text | Google Scholar

Keller, T. S., Colloca, C. J., and Gunzburg, R. (2003). Neuromechanical characterization of in vivo lumbar spinal manipulation. Part I. Vertebral motion. J. Manipulative Physiol. Ther. 26, 567–578. doi: 10.1016/j.jmpt.2003.08.003

PubMed Abstract | CrossRef Full Text | Google Scholar

Keller, T. S., Colloca, C. J., Moore, R. J., Gunzburg, R., Harrison, D. E., and Harrison, D. D. (2006). Three-dimensional vertebral motions produced by mechanical force spinal manipulation. J. Manipulative Physiol. Ther. 29, 425–436. doi: 10.1016/j.jmpt.2006.06.012

PubMed Abstract | CrossRef Full Text | Google Scholar

Kozanek, M., Wang, S., Passias, P. G., Xia, Q., Li, G., Bono, C. M., et al. (2009). Range of motion and orientation of the lumbar facet joints in vivo. Spine 34, E689–E696. doi: 10.1097/BRS.0b013e3181ab4456

PubMed Abstract | CrossRef Full Text | Google Scholar

Leemann, S., Peterson, C. K., Schmid, C., Anklin, B., and Humphreys, B. K. S. L. (2014). Outcomes of acute and chronic patients with magnetic resonance imaging-confirmed symptomatic lumbar disc herniations receiving high-velocity, low-amplitude, spinal manipulative therapy: a prospective observational cohort study with one-year follow-up. J. Manipulative Physiol. Ther. 37, 155–163. doi: 10.1016/j.jmpt.2013.12.011

PubMed Abstract | CrossRef Full Text | Google Scholar

Li, G., Wang, S., Passias, P., Xia, Q., Li, G., and Wood, K. (2009). Segmental in vivo vertebral motion during functional human lumbar spine activities. Eur. Spine J. 18, 1013–1021. doi: 10.1007/s00586-009-0936-6

PubMed Abstract | CrossRef Full Text | Google Scholar

Lima, C. R., Martins, D. F., and Reed, W. R. (2020). Physiological responses induced by manual therapy in animal models: a scoping review. Front. Neurosci. 14:430. doi: 10.3389/fnins.2020.00430

PubMed Abstract | CrossRef Full Text | Google Scholar

Lisi, A. J., O’Neill, C. W., Lindsey, D. P., Cooperstein, R., Cooperstein, E., and Zucherman, J. F. (2006). Measurement of in vivo lumbar intervertebral disc pressure during spinal manipulation: a feasibility study. J. Appl. Biomech. 22, 234–239.

Google Scholar

Lu, W. W., Luk, K. D. K., Holmes, A. D., Cheung, K. M. C., and Leong, J. C. Y. (2005). Pure shear properties of lumbar spinal joints and the effect of tissue sectioning on load sharing. Spine 30, E204–E209.

Google Scholar

Nougarou, F., Dugas, C., Deslauriers, C., Pagé, I., and Descarreaux, M. (2014a). Physiological responses to spinal manipulation therapy: investigation of the relationship between electromyographic responses and peak force. J. Manipulative Physiol. Ther. 36, 557–563. doi: 10.1016/j.jmpt.2013.08.006

PubMed Abstract | CrossRef Full Text | Google Scholar

Nougarou, F., Dugas, C., Loranger, M., Pagé, I., and Descarreaux, M. (2014b). The role of preload forces in spinal manipulation: experimental investigation of kinematic and electromyographic responses in healthy adults. J. Manipulative Physiol. Ther. 37, 287–293. doi: 10.1016/j.jmpt.2014.04.002

PubMed Abstract | CrossRef Full Text | Google Scholar

Nougarou, F., Pagé, I., Loranger, M., Dugas, C., and Descarreaux, M. (2016). Neuromechanical response to spinal manipulation therapy: effects of a constant rate of force application. BMC Complement. Altern. Med. 16:161. doi: 10.1186/s12906-016-1153-6

PubMed Abstract | CrossRef Full Text | Google Scholar

Okushima, Y., Yamazaki, N., Matsumoto, M., Chiba, K., Nagura, T., and Toyama, Y. (2006). Lateral translation of the lumbar spine: in vitro biomechanical study. J. Appl. Biomech. 22, 83–92.

Google Scholar

Pagé, I., Nougarou, F., Dugas, C., and Descarreau, M. (2014). The effect of spinal manipulation impulse duration on spine neuromechanical responses. J. Can. Chiropr. Assoc. 3194, 141–148.

Google Scholar

Pasquier, M., Daneau, C., Marchand, A.-A., Lardon, A., and Descarreaux, M. M. P. (2019). Spinal manipulation frequency and dosage effects on clinical and physiological outcomes: a scoping review. Chiropr. Man. Therap. 27:23. doi: 10.1186/s12998-019-0244-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Passias, P. G., Wang, S., Kozanek, M., Xia, Q., Li, W., Grottkau, B., et al. (2011). Segmental lumbar rotation in patients with discogenic low back pain during functional weight-bearing activities. J. Bone Joint Surg. Am. 93, 29–37. doi: 10.2106/JBJS.I.01348

PubMed Abstract | CrossRef Full Text | Google Scholar

Pickar, J. G., and Kang, Y.-M. (2006). Paraspinal muscle spindle responses to the duration of a spinal manipulation under force control. J. Manipulative Physiol. Ther. 29, 22–31. doi: 10.1016/j.jmpt.2005.11.014

PubMed Abstract | CrossRef Full Text | Google Scholar

Pickar, J. G., Sung, P. S., Kang, Y.-M., and Ge, W. (2007). Response of lumbar paraspinal muscles spindles is greater to spinal manipulative loading compared with slower loading under length control. Spine J. 7, 583–595. doi: 10.1016/j.spinee.2006.10.006

PubMed Abstract | CrossRef Full Text | Google Scholar

Reed, W., Cao, D., Long, C., Kawchuk, G. N., and Pickar, J. G. (2013). Relationship between biomechanical characteristics of spinal manipulation and neural responses in an animal model: effect of linear control of thrust displacement. Evid. Based Complement. Alternat. Med. 2013:492039.

Google Scholar

Reed, W. R., Long, C. R., Kawchuk, G. N., and Pickar, J. G. (2014a). Neural responses to the mechanical parameters of a high-velocity, low-amplitude spinal manipulation: effect of preload parameters. J. Manipulative Physiol. Ther. 37, 68–78. doi: 10.1016/j.jmpt.2013.12.004

PubMed Abstract | CrossRef Full Text | Google Scholar

Reed, W. R., Pickar, J. G., Sozio, R. S., and Long, C. R. (2014b). Effect of spinal manipulation thrust magnitude on trunk mechanical activation thresholds of lateral thalamic neurons. J. Manipulative Physiol. Ther. 37, 277–286. doi: 10.1016/j.jmpt.2014.04.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Reed, W. R., Long, C. R., Kawchuk, G. N., and Pickar, J. G. (2015). Neural responses to the mechanical parameters of a high-velocity, low-amplitude spinal manipulation: effect of specific contact site. Man. Ther. 20, 797–804.

Google Scholar

Reed, W. R., and Pickar, J. G. (2015). Paraspinal muscle spindle response to intervertebral fixation and segmental thrust level during spinal manipulation in an animal model. Spine 40, E752–E759. doi: 10.1097/BRS.0000000000000915

PubMed Abstract | CrossRef Full Text | Google Scholar

Schmidt, H., Kettler, A., Heuer, F., Simon, U., Claes, L., and Wilke, H.-J. (2007). Intradiscal pressure, shear strain, and fiber strain in the intervertebral disc under combined loading. Spine 32, 748–755. doi: 10.1097/01.brs.0000259059.90430.c2

CrossRef Full Text | Google Scholar

Shokri, E., Kamali, F., Sinaei, E., and Ghafarinejad, F. (2018). Spinal manipulation in the treatment of patients with MRI-confirmed lumbar disc herniation and sacroiliac joint hypomobility: a quasi-experimental study. Chiropr. Man. Ther. 26, 1–7. doi: 10.1186/s12998-018-0185-z

PubMed Abstract | CrossRef Full Text | Google Scholar

Triano, J. J. (2001). Biomechanics of spinal manipulative therapy. Spine J. 1, 121–130.

Google Scholar

Vaillant, M., Edgecombe, T., Long, C. R., Pickar, J. G., and Kawchuk, G. N. (2012). The effect of duration and amplitude of spinal manipulative therapy (SMT) on spinal stiffness. Man. Ther. 17, 577–583. doi: 10.1016/j.math.2012.06.006

PubMed Abstract | CrossRef Full Text | Google Scholar

Widmer, J., Fornaciari, P., Senteler, M., Roth, T., Snedeker, J. G., and Farshad, M. (2019). Kinematics of the spine under healthy and degenerative conditions: a systematic review. Ann. Biomed. Eng. 47, 1491–1522. doi: 10.1007/s10439-019-02252-x

PubMed Abstract | CrossRef Full Text | Google Scholar

Wilke, H.-J., Neef, P., Caimi, M., Hoogland, T., and Claes, L. E. (1999). New in vivo measurements of pressures in the intervertebral disc in daily life. Spine 24, 755–762.

Google Scholar

Wong, A. Y. L., Parent, E. C., Dhillon, S. S., Prasad, N., Samartzis, D., and Kawchuk, G. N. (2019). Differential patient responses to spinal manipulative therapy and their relation to spinal degeneration and post-treatment changes in disc diffusion. Eur. Spine J. 28, 259–269. doi: 10.1007/s00586-018-5851-2

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: spinal manipulation, forces, biomechanics, lumbar vertebrae, secondary analysis, porcine

Citation: Funabashi M, Breen Ax, De Carvalho D, Pagé I, Nougarou F, Descarreaux M and Kawchuk GN (2022) Force Distribution Within Spinal Tissues During Posterior to Anterior Spinal Manipulative Therapy: A Secondary Analysis. Front. Integr. Neurosci. 15:809372. doi: 10.3389/fnint.2021.809372

Received: 04 November 2021; Accepted: 31 December 2021;
Published: 04 February 2022.

Edited by:

Elizabeth B. Torres, Rutgers, The State University of New Jersey, United States

Reviewed by:

Robert Vining, Palmer College of Chiropractic, United States
Charles Penza, Orlando VA Medical Center, United States

Copyright © 2022 Funabashi, Breen, De Carvalho, Pagé, Nougarou, Descarreaux and Kawchuk. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Martha Funabashi, mfunabashi@cmcc.ca

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.