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Induced sensorimotor brain plasticity controls pain in phantom limb patients

Author

Listed:
  • Takufumi Yanagisawa

    (Osaka University Graduate School of Medicine
    Osaka University Graduate School of Medicine
    ATR Computational Neuroscience Laboratories
    CiNet Computational Neuroscience Laboratories)

  • Ryohei Fukuma

    (Osaka University Graduate School of Medicine
    ATR Computational Neuroscience Laboratories
    CiNet Computational Neuroscience Laboratories
    Graduate School of Information Science, Nara Institute of Science and Technology)

  • Ben Seymour

    (University of Cambridge, Computational and Biological Learning Laboratory
    National Institute for Information and Communications Technology, Center for Information and Neural Networks)

  • Koichi Hosomi

    (Osaka University Graduate School of Medicine
    Osaka University Graduate School of Medicine)

  • Haruhiko Kishima

    (Osaka University Graduate School of Medicine)

  • Takeshi Shimizu

    (Osaka University Graduate School of Medicine
    Osaka University Graduate School of Medicine)

  • Hiroshi Yokoi

    (The University of Electro-Communications)

  • Masayuki Hirata

    (Osaka University Graduate School of Medicine
    CiNet Computational Neuroscience Laboratories
    Osaka University, Global Center for Medical Engineering and Informactics)

  • Toshiki Yoshimine

    (Osaka University Graduate School of Medicine
    CiNet Computational Neuroscience Laboratories
    Osaka University, Global Center for Medical Engineering and Informactics)

  • Yukiyasu Kamitani

    (ATR Computational Neuroscience Laboratories
    Graduate School of Information Science, Nara Institute of Science and Technology
    Graduate School of Informatics, Kyoto University, Yoshidahonmachi, Sakyoku)

  • Youichi Saitoh

    (Osaka University Graduate School of Medicine
    Osaka University Graduate School of Medicine)

Abstract

The cause of pain in a phantom limb after partial or complete deafferentation is an important problem. A popular but increasingly controversial theory is that it results from maladaptive reorganization of the sensorimotor cortex, suggesting that experimental induction of further reorganization should affect the pain, especially if it results in functional restoration. Here we use a brain–machine interface (BMI) based on real-time magnetoencephalography signals to reconstruct affected hand movements with a robotic hand. BMI training induces significant plasticity in the sensorimotor cortex, manifested as improved discriminability of movement information and enhanced prosthetic control. Contrary to our expectation that functional restoration would reduce pain, the BMI training with the phantom hand intensifies the pain. In contrast, BMI training designed to dissociate the prosthetic and phantom hands actually reduces pain. These results reveal a functional relevance between sensorimotor cortical plasticity and pain, and may provide a novel treatment with BMI neurofeedback.

Suggested Citation

  • Takufumi Yanagisawa & Ryohei Fukuma & Ben Seymour & Koichi Hosomi & Haruhiko Kishima & Takeshi Shimizu & Hiroshi Yokoi & Masayuki Hirata & Toshiki Yoshimine & Yukiyasu Kamitani & Youichi Saitoh, 2016. "Induced sensorimotor brain plasticity controls pain in phantom limb patients," Nature Communications, Nature, vol. 7(1), pages 1-11, December.
  • Handle: RePEc:nat:natcom:v:7:y:2016:i:1:d:10.1038_ncomms13209
    DOI: 10.1038/ncomms13209
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