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Reward signals in the motor cortex: from biology to neurotechnology

Author

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  • Gerard Derosiere

    (Lyon 1 University)

  • Solaiman Shokur

    (École Polytechnique Fédérale de Lausanne
    Scuola Superiore Sant’Anna
    University of Lausanne
    Università Vita-Salute San Raffaele)

  • Pierre Vassiliadis

    (École Polytechnique Fédérale de Lausanne (EPFL)
    Clinique Romande de Réadaptation)

Abstract

Over the past decade, research has shown that the primary motor cortex (M1), the brain’s main output for movement, also responds to rewards. These reward signals may shape motor output in its final stages, influencing movement invigoration and motor learning. In this Perspective, we highlight the functional roles of M1 reward signals and propose how they could guide advances in neurotechnologies for movement restoration, specifically brain-computer interfaces and non-invasive brain stimulation. Understanding M1 reward signals may open new avenues for enhancing motor control and rehabilitation.

Suggested Citation

  • Gerard Derosiere & Solaiman Shokur & Pierre Vassiliadis, 2025. "Reward signals in the motor cortex: from biology to neurotechnology," Nature Communications, Nature, vol. 16(1), pages 1-15, December.
    • Handle: RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-024-55016-0
    DOI: 10.1038/s41467-024-55016-0
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    References listed on IDEAS

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    1. Francis R. Willett & Donald T. Avansino & Leigh R. Hochberg & Jaimie M. Henderson & Krishna V. Shenoy, 2021. "High-performance brain-to-text communication via handwriting," Nature, Nature, vol. 593(7858), pages 249-254, May.
    2. Wolf Muellbacher & Ulf Ziemann & Joerg Wissel & Nguyet Dang & Markus Kofler & Stefano Facchini & Babak Boroojerdi & Werner Poewe & Mark Hallett, 2002. "Early consolidation in human primary motor cortex," Nature, Nature, vol. 415(6872), pages 640-644, February.
    3. Ali Mohebi & Jeffrey R. Pettibone & Arif A. Hamid & Jenny-Marie T. Wong & Leah T. Vinson & Tommaso Patriarchi & Lin Tian & Robert T. Kennedy & Joshua D. Berke, 2019. "Publisher Correction: Dissociable dopamine dynamics for learning and motivation," Nature, Nature, vol. 571(7763), pages 3-3, July.
    4. Tal Neiman & Yonatan Loewenstein, 2011. "Reinforcement learning in professional basketball players," Nature Communications, Nature, vol. 2(1), pages 1-8, September.
    5. Henri Lorach & Andrea Galvez & Valeria Spagnolo & Felix Martel & Serpil Karakas & Nadine Intering & Molywan Vat & Olivier Faivre & Cathal Harte & Salif Komi & Jimmy Ravier & Thibault Collin & Laure Co, 2023. "Walking naturally after spinal cord injury using a brain–spine interface," Nature, Nature, vol. 618(7963), pages 126-133, June.
    6. Pierre Vassiliadis & Elena Beanato & Traian Popa & Fabienne Windel & Takuya Morishita & Esra Neufeld & Julie Duque & Gerard Derosiere & Maximilian J. Wessel & Friedhelm C. Hummel, 2024. "Non-invasive stimulation of the human striatum disrupts reinforcement learning of motor skills," Nature Human Behaviour, Nature, vol. 8(8), pages 1581-1598, August.
    7. Ali Mohebi & Jeffrey R. Pettibone & Arif A. Hamid & Jenny-Marie T. Wong & Leah T. Vinson & Tommaso Patriarchi & Lin Tian & Robert T. Kennedy & Joshua D. Berke, 2019. "Dissociable dopamine dynamics for learning and motivation," Nature, Nature, vol. 570(7759), pages 65-70, June.
    8. Nicholas A. Steinmetz & Peter Zatka-Haas & Matteo Carandini & Kenneth D. Harris, 2019. "Distributed coding of choice, action and engagement across the mouse brain," Nature, Nature, vol. 576(7786), pages 266-273, December.
    9. Eric A Pohlmeyer & Babak Mahmoudi & Shijia Geng & Noeline W Prins & Justin C Sanchez, 2014. "Using Reinforcement Learning to Provide Stable Brain-Machine Interface Control Despite Neural Input Reorganization," PLOS ONE, Public Library of Science, vol. 9(1), pages 1-12, January.
    10. Simon D. Fisher & Paul B. Robertson & Melony J. Black & Peter Redgrave & Mark A. Sagar & Wickliffe C. Abraham & John N.J. Reynolds, 2017. "Reinforcement determines the timing dependence of corticostriatal synaptic plasticity in vivo," Nature Communications, Nature, vol. 8(1), pages 1-13, December.
    11. Tal Neiman & Yonatan Loewenstein, 2011. "Reinforcement learning in professional basketball players," Discussion Paper Series dp593, The Federmann Center for the Study of Rationality, the Hebrew University, Jerusalem.
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