Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

Spinal stretch reflexes support efficient hand control

Nature Neuroscience volume 22, pages 529–533 (2019)Cite this article

Subjects

This article has been updated

Abstract

Motor behaviour is most efficiently controlled by correcting only disturbances that influence task success. It is currently thought that such control is computed within a transcortical feedback pathway. Here we show that, for postural hand control, even the fastest spinal feedback pathway can produce efficient corrective responses, forcing a re-evaluation of how the nervous system derives the control laws that support motor behavior.

This is a preview of subscription content, access via your institution

Relevant articles

Open Access articles citing this article.

Access options

Rent or buy this article

Get just this article for as long as you need it

$39.95

Learn more

Prices may be subject to local taxes which are calculated during checkout

Fig. 1: Spinal stretch reflex is tuned to hand displacement.
Fig. 2: Determining the source of wrist afferent feedback that tunes the elbow spinal stretch reflex.
Fig. 3: Elbow spinal stretch reflex accounts for the arm’s orientation.

Code availability

MATLAB code used for data analyses is available from the corresponding author upon reasonable request.

Data availability

Raw kinematic and EMG data from these experiments are available from the corresponding author upon reasonable request.

Change history

  • 07 March 2019

    In the version of this article initially published, the reviewer recognition statement was missing. The error has been corrected in the HTML and PDF versions of the article.

References

  1. Todorov, E. Nat. Neurosci. 7, 907–915 (2004).

    Article  CAS  Google Scholar 

  2. Cole, K. J., Gracco, V. L. & Abbs, J. H. Exp. Brain Res. 56, 582–585 (1984).

    Article  CAS  Google Scholar 

  3. Scott, S. H. Trends Neurosci. 39, 512–526 (2016).

    Article  CAS  Google Scholar 

  4. Cheney, P. D. & Fetz, E. E. J. Physiol. (Lond.) 349, 249–272 (1984).

    Article  CAS  Google Scholar 

  5. Evarts, E. V. & Tanji, J. J. Neurophysiol. 39, 1069–1080 (1976).

    Article  CAS  Google Scholar 

  6. Omrani, M., Murnaghan, C. D., Pruszynski, J. A. & Scott, S. H. eLife 5, e13141 (2016).

    Article  Google Scholar 

  7. Pruszynski, J. A. et al. Nature 478, 387–390 (2011).

    Article  CAS  Google Scholar 

  8. Pruszynski, J. A. & Scott, S. H. Exp. Brain Res. 218, 341–359 (2012).

    Article  Google Scholar 

  9. Vallbo, A. B. Acta Physiol. Scand. 90, 319–336 (1974).

    Article  CAS  Google Scholar 

  10. Pierrot-Deseilligny, E. & Burke, D. The Circuitry of the Human Spinal Cord: Spinal and Cortical Mechanisms of Movement. 2nd ed. (Cambridge Univ. Press, Cambridge, UK, 2012).

  11. Mortimer, J. A., Webster, D. D. & Dukich, T. G. Brain Res. 229, 337–351 (1981).

    Article  CAS  Google Scholar 

  12. Dufresne, J. R., Soechting, J. F. & Terzuolo, C. A. Brain Res. 193, 67–84 (1980).

    Article  CAS  Google Scholar 

  13. Thompson, A. K., Chen, X. Y. & Wolpaw, J. R. J. Neurosci. 29, 5784–5792 (2009).

    Article  CAS  Google Scholar 

  14. Schouenborg, J. Action-based sensory encoding in spinal sensorimotor circuits. Brain Res. Rev. 57, 111–117 (2008).

    Article  Google Scholar 

  15. Manning, C. D. & Bawa, P. J. Neurophysiol. 106, 1489–1499 (2011).

    Article  Google Scholar 

  16. Kurtzer, I. L., Pruszynski, J. A. & Scott, S. H. Curr. Biol. 18, 449–453 (2008).

    Article  CAS  Google Scholar 

  17. Soechting, J. F. & Lacquaniti, F. J. Neurophysiol 59, 1296–1313 (1988).

    Article  CAS  Google Scholar 

  18. Giszter, S. F., McIntyre, J. & Bizzi, E. J. Neurophysiol. 62, 750–767 (1989).

    Article  CAS  Google Scholar 

  19. Fukson, O. I., Berkinblit, M. B. & Feldman, A. G. Science 209, 1261–1263 (1980).

    Article  CAS  Google Scholar 

  20. Fink, A. J. et al. Nature 509, 43–48 (2014).

    Article  CAS  Google Scholar 

  21. Crevecoeur, F. & Scott, S. H. PLoS Comput. Biol. 9, e1003177 (2013).

    Article  CAS  Google Scholar 

  22. Crevecoeur, F., Thonnard, J. L., Lefèvre, P.& Scott, S. H. eNeuro 3, e0129-15.2016 https://doi.org/10.1523/ENEURO.0129-15.2016 (2016).

    Article  Google Scholar 

  23. Pruszynski, J. A., Kurtzer, I. & Scott, S. H. J. Neurophysiol. 100, 224–238 (2008).

    Article  Google Scholar 

  24. Weiler, J., Gribble, P. L. & Pruszynski, J. A. J. Neurophysiol. 114, 3242–3254 (2015).

    Article  CAS  Google Scholar 

  25. Weiler, J., Saravanamuttu, J., Gribble, P. L. & Pruszynski, J. A. J. Neurophysiol. 116, 2236–2249 (2016).

    Article  Google Scholar 

  26. Yang, L., Michaels, J. A., Pruszynski, J. A. & Scott, S. H. Exp. Brain Res. 211, 231–242 (2011).

    Article  Google Scholar 

Download references

Acknowledgements

This work was supported by the Natural Science and Engineering Council of Canada (NSERC Discovery Grants RGPIN-2015-06714 (to J.A.P.) and RGPIN-2018-05458 (to P.L.G.)). J.W. was supported by post-doctoral fellowships from NSERC and the BrainsCAN program at Western University. J.A.P. received a salary award from the Canada Research Chairs Program. The funders had no role in study design, data collection and analysis, decision to publish or preparation of the manuscript.

Author information

Authors and Affiliations

  1. Brain and Mind Institute, Western University, London, Ontario, Canada

    Jeffrey Weiler, Paul L. Gribble & J. Andrew Pruszynski

  2. Department of Psychology, Western University, London, Ontario, Canada

    Jeffrey Weiler, Paul L. Gribble & J. Andrew Pruszynski

  3. Department of Physiology and Pharmacology, Western University, London, Ontario, Canada

    Jeffrey Weiler, Paul L. Gribble & J. Andrew Pruszynski

  4. Robarts Research Institute, Western University, London, Ontario, Canada

    J. Andrew Pruszynski

Authors
  1. Jeffrey Weiler
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Paul L. Gribble
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. J. Andrew Pruszynski
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

J.W. and J.A.P. designed the study, J.W. collected and analysed the data, and J.W., P.L.G. and J.A.P. interpreted the results and wrote the manuscript.

Corresponding authors

Correspondence to Jeffrey Weiler or J. Andrew Pruszynski.

Ethics declarations

Competing interests

The authors declare no competing interests.

Additional information

Journal peer review information: Nature Neuroscience thanks Simon Giszter and other anonymous reviewer(s) for their contribution to the peer review of this work.

Publisher’s note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Integrated supplementary information

Supplementary Figure 1 Experimental loads

Mechanical torques (loads) applied to the elbow (top) and wrist (bottom) across trial types for each of the seven experiments (a–f). Positive values representflexion loads. i, Participants placed their hand to the home location for 500 ms. ii, A flexion or extension ramping load was applied at the elbow and wrist over 1,500 ms, plateauing at ± 2 Nm and ± 1 Nm at the elbow and wrist, respectively (the pre-load). iii, Participants moved their hand to a central target and stayed at this location for a randomized foreperiod (2,500–3,500 ms). iv, A 20 Nm step-torque in the direction of the pre-load was applied at the elbow and a 1 Nm flexion or extension step-torque was simultaneously applied at the wrist (the perturbation). v, Participants moved the hand back to the target following the perturbation. The load associated with the perturbation remained on for 1,300 ms. vi, The loads were gradually removed over 1,000 ms. Note that the extension pre-load used in the ‘flip’ condition of experiment 7 activates the wrist extensor muscles and that the wrist perturbations across all experiments are colour coded to correspond with the data presented in all other figures.

Supplementary Figure 2 Biceps spinal reflex is tuned to hand displacement

a, Mean rectified biceps EMG activity when the wrist flexor muscles were pre-excited prior to the mechanical perturbation (experiment 2; n = 20). Green and blue traces representwrist perturbations that flexed and extended the wrist, respectively, whereas the red trace represents trials in which no perturbation was applied to the wrist. Data are aligned to perturbation onset. Shading represents1 s.e.m. b,Mean rectified biceps EMG activity in the spinal stretch reflex epoch for the three wrist perturbations (F flexion; N, none; E, extension). Thin grey lines represent individual participants and the thick black lines represent the group mean. The biceps spinal stretch reflex was tuned to the hand’s displacement from the target, and not to the elbow extension, (F(2,38) = 44.47, p < 0.001, η2partial = 0.701; post-hoc trend analysis, linear F(1,19) = 47.21, p < 0.001, η2partial = 0.713; quadratic F(1,19) = 5.43, p = 0.03, η2partial = 0.22).

Supplementary Figure 3 Spinal reflexes are not influenced by volitional intent

a, Mean rectified triceps EMG activity following the mechanical perturbations that flexed the elbow and flexed the wrist (experiment 3; n = 15). Red and blue traces represent ‘counteract’ and ‘do not intervene’ blocks, respectively. Data are aligned to perturbation onset. Shading represents ± 1 s.e.m. b, Goal-dependent activity within the spinal (SR) and long-latency (LL) epochs for trials in which the mechanical perturbation flexed the elbow and flexed the wrist. Error bars represent 95% confidence internals. c, Same format as a, but for trials in which the elbow was flexed and no perturbation was applied to the wrist. d, Same format as b, but for trials in which the elbow was flexed and no perturbation was applied to the wrist. e, Same format as a, but for trials in which the mechanical perturbations flexed the elbow and extended the wrist. f, Same format as b, but for trials in which the mechanical perturbations flexed the elbow and extended the wrist. The magnitude of the triceps spinal stretch reflex was not influenced by the intended action, when the wrist was flexed, not perturbed, or extended (ts(14) all < 1.58, ps all > 0.135, all Cohen d < 0.42). In contrast, the triceps long-latency stretch reflex was influenced by the intended action, and this occurred for all three wrist perturbation conditions (ts(14) all > 4.01, ps all < 0.001, all Cohen d > 1.0: repeated measures ANOVA three-way interaction [epoch (spinal, long-latency) by wrist perturbation (flexed, neutral, extended) by volitional intent (counteract, do not intervene)] for initial omnibus test (F(2,28) = 17.19, p < 0.001, η2partial = 0.55).

Supplementary Figure 4 Determining the source of wrist afferent feedback that tunes the biceps spinal reflex

a, Mean rectified biceps EMG activity when the wrist extensors were pre-excited prior to the mechanical perturbation (experiment 5; n = 20). Green and blue traces represent wrist perturbations that flexed and extended the wrist, respectively. Data is aligned to perturbation onset. Shading represents ± 1 s.e.m. b, Mean rectified biceps EMG activity in the spinal stretch reflex epoch for when the perturbation flexed (F) or extended (E) the wrist. Thin grey lines represent individual participants and the thick black line represents the group mean. The biceps spinal stretch reflex was not influenced by the perturbations applied at the wrist (t(14) = -1.13 p = 0.28, Cohen’s d = 0.29, 95% CI [-0.15 -0.05]).

Supplementary Figure 5 Wrist muscle activity for the upright and flipped orientations

a, Mean rectified wrist extensor EMG activity for perturbations that flexed the elbow and flexed the wrist (Experiment 7: n = 15). Blue and red traces represent the Upright and Flipped arm orientations, respectively. Data aligned to perturbation onset. Shading reflects ± 1 SEM. b, Mean rectified wrist extensor EMG activity in the spinal stretch reflex epoch when the wrist was flexed as a function of the upright and flipped orientations. Thin grey lines represent individual participants, whereas the thick black line represents the group mean. c, Same format as a, but for trials in which the wrist was extended. d, Same format as b, but when the wrist was extended.

Supplementary information

Rights and permissions

Reprints and Permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Weiler, J., Gribble, P.L. & Pruszynski, J.A. Spinal stretch reflexes support efficient hand control. Nat Neurosci 22, 529–533 (2019). https://doi.org/10.1038/s41593-019-0336-0

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/s41593-019-0336-0

This article is cited by

Search

Advanced search

Quick links

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing