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Primary motor cortex underlies multi-joint integration for fast feedback control

Author

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  • J. Andrew Pruszynski

    (Centre for Neuroscience Studies, Queen’s University, Kingston, Ontario, Canada K7L 3N6
    Physiology Section, Umeå University, Umeå SE90 187, Sweden)

  • Isaac Kurtzer

    (Centre for Neuroscience Studies, Queen’s University, Kingston, Ontario, Canada K7L 3N6
    New York College of Osteopathic Medicine)

  • Joseph Y. Nashed

    (Centre for Neuroscience Studies, Queen’s University, Kingston, Ontario, Canada K7L 3N6)

  • Mohsen Omrani

    (Centre for Neuroscience Studies, Queen’s University, Kingston, Ontario, Canada K7L 3N6)

  • Brenda Brouwer

    (Centre for Neuroscience Studies, Queen’s University, Kingston, Ontario, Canada K7L 3N6
    School of Rehabilitation Therapy, Queen’s University, Kingston, Ontario, Canada K7L 3N6)

  • Stephen H. Scott

    (Centre for Neuroscience Studies, Queen’s University, Kingston, Ontario, Canada K7L 3N6
    Queen’s University, Kingston, Ontario, Canada K7L 3N6
    Queen’s University, Kingston, Ontario, Canada K7L 3N6)

Abstract

Joint movement tracked by a feedback pathway For animals with multi-joint limbs, one of the daunting problems that the nervous system has to solve is how to correctly interpret and respond to sensory input induced by complex combinations of limb movements. For example, one apparently simple displacement of the shoulder could arise from an infinite number of different combinations of forces acting at the shoulder and elbow. Pruszynski et al. use neurophysiological recordings in monkeys and stimulation studies in humans to demonstrate that knowledge of limb mechanics is solved through a feedback pathway involving the primary motor cortex (M1), rather than through the feed-forward processing of motion variables, a view which has been dominant for the past 25 years. The results have implications for the design of humanoid robots and brain–machine interfaces, as well as for understanding and treating patients with motor dysfunctions such as stroke.

Suggested Citation

  • J. Andrew Pruszynski & Isaac Kurtzer & Joseph Y. Nashed & Mohsen Omrani & Brenda Brouwer & Stephen H. Scott, 2011. "Primary motor cortex underlies multi-joint integration for fast feedback control," Nature, Nature, vol. 478(7369), pages 387-390, October.
    • Handle: RePEc:nat:nature:v:478:y:2011:i:7369:d:10.1038_nature10436
    DOI: 10.1038/nature10436
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    Cited by:

    1. Chen Xin & Zhongguo Ren & Leran Zhang & Liang Yang & Dawei Wang & Yanlei Hu & Jiawen Li & Jiaru Chu & Li Zhang & Dong Wu, 2023. "Light-triggered multi-joint microactuator fabricated by two-in-one femtosecond laser writing," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
    2. Hagai Lalazar & L F Abbott & Eilon Vaadia, 2016. "Tuning Curves for Arm Posture Control in Motor Cortex Are Consistent with Random Connectivity," PLOS Computational Biology, Public Library of Science, vol. 12(5), pages 1-27, May.
    3. Tanner C Dixon & Christina M Merrick & Joni D Wallis & Richard B Ivry & Jose M Carmena, 2021. "Hybrid dedicated and distributed coding in PMd/M1 provides separation and interaction of bilateral arm signals," PLOS Computational Biology, Public Library of Science, vol. 17(11), pages 1-35, November.
    4. Frédéric Crevecoeur & Stephen H Scott, 2013. "Priors Engaged in Long-Latency Responses to Mechanical Perturbations Suggest a Rapid Update in State Estimation," PLOS Computational Biology, Public Library of Science, vol. 9(8), pages 1-14, August.

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