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Movement is governed by rotational neural dynamics in spinal motor networks

Author

Listed:
  • Henrik Lindén

    (University of Copenhagen)

  • Peter C. Petersen

    (University of Copenhagen)

  • Mikkel Vestergaard

    (University of Copenhagen
    Max Delbrück Center for Molecular Medicine)

  • Rune W. Berg

    (University of Copenhagen)

Abstract

Although the generation of movements is a fundamental function of the nervous system, the underlying neural principles remain unclear. As flexor and extensor muscle activities alternate during rhythmic movements such as walking, it is often assumed that the responsible neural circuitry is similarly exhibiting alternating activity1. Here we present ensemble recordings of neurons in the lumbar spinal cord that indicate that, rather than alternating, the population is performing a low-dimensional ‘rotation’ in neural space, in which the neural activity is cycling through all phases continuously during the rhythmic behaviour. The radius of rotation correlates with the intended muscle force, and a perturbation of the low-dimensional trajectory can modify the motor behaviour. As existing models of spinal motor control do not offer an adequate explanation of rotation1,2, we propose a theory of neural generation of movements from which this and other unresolved issues, such as speed regulation, force control and multifunctionalism, are readily explained.

Suggested Citation

  • Henrik Lindén & Peter C. Petersen & Mikkel Vestergaard & Rune W. Berg, 2022. "Movement is governed by rotational neural dynamics in spinal motor networks," Nature, Nature, vol. 610(7932), pages 526-531, October.
  • Handle: RePEc:nat:nature:v:610:y:2022:i:7932:d:10.1038_s41586-022-05293-w
    DOI: 10.1038/s41586-022-05293-w
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    Cited by:

    1. Harman Ghuman & Kyungsoo Kim & Sapeeda Barati & Karunesh Ganguly, 2023. "Emergence of task-related spatiotemporal population dynamics in transplanted neurons," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
    2. Fuda van Diggelen & Nicolas Cambier & Eliseo Ferrante & A. E. Eiben, 2024. "A model-free method to learn multiple skills in parallel on modular robots," Nature Communications, Nature, vol. 15(1), pages 1-13, December.
    3. Yihan Wang & Qian-Quan Sun, 2024. "A prefrontal motor circuit initiates persistent movement," Nature Communications, Nature, vol. 15(1), pages 1-13, December.
    4. Eric A. Kirk & Keenan T. Hope & Samuel J. Sober & Britton A. Sauerbrei, 2024. "An output-null signature of inertial load in motor cortex," Nature Communications, Nature, vol. 15(1), pages 1-20, December.

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