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Treadmill Training Effect on Kinematics: An Aging Study in Rats

  • Omid Haji MaghsoudiEmail author
  • Andrew Spence
Original Article
  • 11 Downloads

Abstract

Purpose

Aging causes dramatic changes in the locomotion of animals, including the human animal. Treadmill training has been used frequently as a method to improve locomotion and to gather kinematic data that can quantify locomotor ability. Rats are one of the premier models of human disease, in which treadmill locomotion is readily observed and quantified. Several studies have looked at changes in the H-reflex (Caron et al. in Neurobiol Aging 42:61–68, 2016) in old rats, but an in-depth examination of changes in locomotion in old rats has not been a significant focus of past works, despite the utility of such non-invasive data.

Methods

Here, we investigate changes in the locomotor kinematics of aged rats with treadmill training, over a 4-week treadmill training regime.

Results

Our results show that the ankle and knee angles are significantly more flexed on the last day of training compared to the first day. Additionally, we use principal components analysis to find additional features extracted from the kinematics that change across training sessions.

Conclusions

Our results suggest that the required training for consistent running at higher speeds for older rats is approximately 3 weeks. We also showed some joint angles were more flexed after training sessions. Thus, future work will build on these results by extracting higher-order features with which to evaluate a treatment for aged animals, by including data from young and old rats that do or do not, receive the treatment.

Keywords

Aging Kinematics Treadmill training Biomechanics Neuroscience 

Notes

Acknowledgements

This work is supported by Shriners Hospitals for Children Grant #85115 to Andrew Spence. This work is further supported by Neilsen Foundation Senior Research Grant #546798 to A. Spence.

Compliance with Ethical Standards

Ethical Approval

Animal procedures were approved by the Temple University Institutional Animal Care and Use Committee, under ACUP #4675 to Andrew Spence.

Supplementary material

40846_2019_490_MOESM1_ESM.docx (1.8 mb)
Supplementary material 1 (DOCX 1829 kb)

References

  1. 1.
    Barry, B. K., & Carson, R. G. (2004). The consequences of resistance training for movement control in older adults. The Journals of Gerontology Series A: Biological Sciences and Medical Sciences, 59(7), M730–M754.CrossRefGoogle Scholar
  2. 2.
    Batka, R. J., Brown, T. J., Mcmillan, K. P., Meadows, R. M., Jones, K. J., & Haulcomb, M. M. (2014). The need for speed in rodent locomotion analyses. The Anatomical Record, 297(10), 1839–1864.CrossRefGoogle Scholar
  3. 3.
    Bortz, W. M. (2002). A conceptual framework of frailty: A review. The Journals of Gerontology Series A: Biological Sciences and Medical Sciences, 57(5), M283–M288.CrossRefGoogle Scholar
  4. 4.
    Bose, P. K., Hou, J., Parmer, R., Reier, P. J., & Thompson, F. J. (2012). Altered patterns of reflex excitability, balance, and locomotion following spinal cord injury and locomotor training. Frontiers in Physiology, 3, 258.CrossRefGoogle Scholar
  5. 5.
    Caron, G., Marqueste, T., & Decherchi, P. (2016). Restoration of post-activation depression of the h-reflex by treadmill exercise in aged rats. Neurobiology of Aging, 42, 61–68.CrossRefGoogle Scholar
  6. 6.
    Carroll, T. J., Benjamin, B., Stephan, R., & Carson, R. G. (2001). Resistance training enhances the stability of sensorimotor coordination. Proceedings of the Royal Society of London Series B: Biological Sciences, 268(1464), 221–227.CrossRefGoogle Scholar
  7. 7.
    Carroll, T. J., Riek, S., & Carson, R. G. (2002). The sites of neural adaptation induced by resistance training in humans. The Journal of Physiology, 544(2), 641–652.CrossRefGoogle Scholar
  8. 8.
    Chang, Y. H., Auyang, A. G., Scholz, J. P., & Nichols, T. R. (2009). Whole limb kinematics are preferentially conserved over individual joint kinematics after peripheral nerve injury. Journal of Experimental Biology, 212(21), 3511–3521.CrossRefGoogle Scholar
  9. 9.
    Chen, Y., Chen, X. Y., Jakeman, L. B., Schalk, G., Stokes, B. T., & Wolpaw, J. R. (2005). The interaction of a new motor skill and an old one: H-reflex conditioning and locomotion in rats. Journal of Neuroscience, 25(29), 6898–6906.CrossRefGoogle Scholar
  10. 10.
    Churchill, A. J., Halligan, P. W., & Wade, D. T. (2002). RIVCAM: A simple video-based kinematic analysis for clinical disorders of gait. Computer Methods and Programs in Biomedicine, 69(3), 197–209.CrossRefGoogle Scholar
  11. 11.
    Daley, M. A., & Biewener, A. A. (2006). Running over rough terrain reveals limb control for intrinsic stability. Proceedings of the National Academy of Sciences, 103(42), 15681–15686.CrossRefGoogle Scholar
  12. 12.
    Dorner, H., Otte, P., & Platt, D. (1996). Training influence on age-dependent changes in the gait of rats. Gerontology, 42(1), 7–13.CrossRefGoogle Scholar
  13. 13.
    Enoka, R. M. (1997). Neural strategies in the control of muscle force. Muscle & Nerve: Official Journal of the American Association of Electrodiagnostic Medicine, 20(S5), 66–69.CrossRefGoogle Scholar
  14. 14.
    Fiatarone, M. A., Marks, E. C., Ryan, N. D., Meredith, C. N., Lipsitz, L. A., & Evans, W. J. (1990). High-intensity strength training in nonagenarians: Effects on skeletal muscle. JAMA, 263(22), 3029–3034.CrossRefGoogle Scholar
  15. 15.
    Haji Maghsoudi, O., Tabrizi, A.V., Robertson, B., Shamble, P., & Spence, A. (2015). A novel automatic method to track the body and paws of running mice in high speed video. In: 2015 IEEE signal processing in medicine and biology symposium (SPMB) (pp. 1–2). IEEE.Google Scholar
  16. 16.
    Haji Maghsoudi, O., Vahedipour, A., Robertson, B., & Spence, A. (2018). Application of superpixels to segment several landmarks in running rodents. Pattern Recognition & Image Analysis, 28(3), 468–482.CrossRefGoogle Scholar
  17. 17.
    Haji Maghsoudi, O., Vahedipour, A., & Spence, A. (2019). Three-dimensional-based landmark tracker employing a superpixels method for neuroscience, biomechanics and biology studies. International Journal of Imaging Systems and Technology.  https://doi.org/10.1002/ima.22317.Google Scholar
  18. 18.
    Hakkinen, K., Kallinen, M., Izquierdo, M., Jokelainen, K., Lassila, H., Malkia, E., et al. (1998). Changes in agonist-antagonist EMG, muscle CSA, and force during strength training in middle-aged and older people. Journal of Applied Physiology, 84(4), 1341–1349.CrossRefGoogle Scholar
  19. 19.
    Hoffmann, P. (1910). Beitrage zur kenntnis der menschlichen reflexe mit besonderer berucksichtigung der elektrischen erscheinungen. Arch Physiol pp. S223–S246Google Scholar
  20. 20.
    Karakostas, T., & Granholm, A. C. (2014). Motion capture and associated novel measurement devices for movement function in humans and animal models. Journal of Neuroscience Methods, 231, 1–2.CrossRefGoogle Scholar
  21. 21.
    Lanza, I. R., & Nair, K. S. (2008). Muscle mitochondrial changes with aging and exercise. The American Journal of Clinical Nutrition, 89(1), 467S–471S.CrossRefGoogle Scholar
  22. 22.
    Lipsitz, L. A. (2002). Dynamics of stability: The physiologic basis of functional health and frailty. The Journals of Gerontology Series A: Biological Sciences and Medical Sciences, 57(3), B115–B125.CrossRefGoogle Scholar
  23. 23.
    Lømo, T. (2003). What controls the position, number, size, and distribution of neuromuscular junctions on rat muscle fibers? Journal of Neurocytology, 32(5–8), 835–848.CrossRefGoogle Scholar
  24. 24.
    Madete, J., Klein, A., Fuller, A., Trueman, R., Rosser, A., Dunnett, S., et al. (2010). Challenges facing quantification of rat locomotion along beams of varying widths. Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine, 224(11), 1257–1265.CrossRefGoogle Scholar
  25. 25.
    Madete, J. K., Klein, A., Dunnett, S. B., & Holt, C. A. (2011). Three-dimensional motion analysis of postural adjustments during over-ground locomotion in a rat model of parkinson’s disease. Behavioural Brain Research, 220(1), 119–125.CrossRefGoogle Scholar
  26. 26.
    Maghsoudi, O. H., Tabrizi, A. V., Robertson, B., & Spence, A. (2017). 3d modeling of running rodents based on direct linear transform. In: 2017 IEEE signal processing in medicine and biology symposium (SPMB) (pp. 1–4). IEEE.Google Scholar
  27. 27.
    Maghsoudi, O. H., Vahedipour, A., Hallowell, T., & Spence, A. (2019). Open-source python software for analysis of 3d kinematics from quadrupedal animals. Biomedical Signal Processing and Control, 51, 364–373.CrossRefGoogle Scholar
  28. 28.
    Maier, I. C., Ichiyama, R. M., Courtine, G., Schnell, L., Lavrov, I., Edgerton, V. R., et al. (2009). Differential effects of anti-nogo-a antibody treatment and treadmill training in rats with incomplete spinal cord injury. Brain, 132(6), 1426–1440.CrossRefGoogle Scholar
  29. 29.
    Morse, C. I., Thom, J. M., Davis, M. G., Fox, K. R., Birch, K. M., & Narici, M. V. (2004). Reduced plantarflexor specific torque in the elderly is associated with a lower activation capacity. European Journal of Applied Physiology, 92(1–2), 219–226.CrossRefGoogle Scholar
  30. 30.
    Orlovski, G. N., Deliagina, T., & Grillner, S. (1999). Neuronal control of locomotion: From mollusc to man. Oxford: Oxford University Press.CrossRefGoogle Scholar
  31. 31.
    Ribeiro, F., & Oliveira, J. (2007). Aging effects on joint proprioception: The role of physical activity in proprioception preservation. European Review of Aging and Physical Activity, 4(2), 71.CrossRefGoogle Scholar
  32. 32.
    Roos, M. R., Rice, C. L., & Vandervoort, A. A. (1997). Age-related changes in motor unit function. Muscle & Nerve, 20(6), 679–690.CrossRefGoogle Scholar
  33. 33.
    Spence, A. J., Nicholson-Thomas, G., & Lampe, R. (2013). Closing the loop in legged neuromechanics: An open-source computer vision controlled treadmill. Journal of Neuroscience Methods, 215(2), 164–169.CrossRefGoogle Scholar
  34. 34.
    Stanley, E. F. (1981). Sensory and motor nerve conduction velocities and the latency of the h reflex during growth of the rat. Experimental Neurology, 71(3), 497–506.CrossRefGoogle Scholar
  35. 35.
    Thota, A., Carlson, S., & Jung, R. (2001). Recovery of locomotor function after treadmill training of incomplete spinal cord injured rats. Biomedical Sciences Instrumentation, 37, 63–68.Google Scholar
  36. 36.
    Vahedipour, A., Maghsoudi, O. H., Wilshin, S., Shamble, P., Robertson, B., & Spence, A. (2018). Uncovering the structure of the mouse gait controller: Mice respond to substrate perturbations with adaptations in gait on a continuum between trot and bound. Journal of Biomechanics, 78, 77–86.CrossRefGoogle Scholar

Copyright information

© Taiwanese Society of Biomedical Engineering 2019

Authors and Affiliations

  1. 1.Department of Bioengineering, College of EngineeringTemple UniversityPhiladelphiaUSA

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