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Restoring cortical control of functional movement in a human with quadriplegia

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Listed:
  • Chad E. Bouton

    (Medical Devices and Neuromodulation, Battelle Memorial Institute
    †Present address: Feinstein Institute for Medical Research, 350 Community Drive, Manhasset, New York 11030, USA.)

  • Ammar Shaikhouni

    (Center for Neuromodulation, The Ohio State University
    The Ohio State University)

  • Nicholas V. Annetta

    (Medical Devices and Neuromodulation, Battelle Memorial Institute)

  • Marcia A. Bockbrader

    (Center for Neuromodulation, The Ohio State University
    The Ohio State University)

  • David A. Friedenberg

    (Advanced Analytics and Health Research, Battelle Memorial Institute)

  • Dylan M. Nielson

    (Center for Neuromodulation, The Ohio State University
    The Ohio State University)

  • Gaurav Sharma

    (Medical Devices and Neuromodulation, Battelle Memorial Institute)

  • Per B. Sederberg

    (Center for Neuromodulation, The Ohio State University
    The Ohio State University)

  • Bradley C. Glenn

    (Energy Systems, Battelle Memorial Institute)

  • W. Jerry Mysiw

    (Center for Neuromodulation, The Ohio State University
    The Ohio State University)

  • Austin G. Morgan

    (Medical Devices and Neuromodulation, Battelle Memorial Institute)

  • Milind Deogaonkar

    (Center for Neuromodulation, The Ohio State University
    The Ohio State University)

  • Ali R. Rezai

    (Center for Neuromodulation, The Ohio State University
    The Ohio State University)

Abstract

Signals recorded from motor cortex—through an intracortical implant—can be linked in real-time to activation of forearm muscles to restore movement in a paralysed human.

Suggested Citation

  • Chad E. Bouton & Ammar Shaikhouni & Nicholas V. Annetta & Marcia A. Bockbrader & David A. Friedenberg & Dylan M. Nielson & Gaurav Sharma & Per B. Sederberg & Bradley C. Glenn & W. Jerry Mysiw & Austin, 2016. "Restoring cortical control of functional movement in a human with quadriplegia," Nature, Nature, vol. 533(7602), pages 247-250, May.
    • Handle: RePEc:nat:nature:v:533:y:2016:i:7602:d:10.1038_nature17435
    DOI: 10.1038/nature17435
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    Cited by:

    1. Roberto De Fazio & Vincenzo Mariano Mastronardi & Matteo Petruzzi & Massimo De Vittorio & Paolo Visconti, 2022. "Human–Machine Interaction through Advanced Haptic Sensors: A Piezoelectric Sensory Glove with Edge Machine Learning for Gesture and Object Recognition," Future Internet, MDPI, vol. 15(1), pages 1-42, December.
    2. Romain Beaubois & Jérémy Cheslet & Tomoya Duenki & Giuseppe De Venuto & Marta Carè & Farad Khoyratee & Michela Chiappalone & Pascal Branchereau & Yoshiho Ikeuchi & Timothée Levi, 2024. "BiœmuS: A new tool for neurological disorders studies through real-time emulation and hybridization using biomimetic Spiking Neural Network," Nature Communications, Nature, vol. 15(1), pages 1-14, December.
    3. Joshua Kosnoff & Kai Yu & Chang Liu & Bin He, 2024. "Transcranial focused ultrasound to V5 enhances human visual motion brain-computer interface by modulating feature-based attention," Nature Communications, Nature, vol. 15(1), pages 1-18, December.
    4. Zhouheng Wang & Nanlin Shi & Yingchao Zhang & Ning Zheng & Haicheng Li & Yang Jiao & Jiahui Cheng & Yutong Wang & Xiaoqing Zhang & Ying Chen & Yihao Chen & Heling Wang & Tao Xie & Yijun Wang & Yinji M, 2023. "Conformal in-ear bioelectronics for visual and auditory brain-computer interfaces," Nature Communications, Nature, vol. 14(1), pages 1-11, December.

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