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Spelling interface using intracortical signals in a completely locked-in patient enabled via auditory neurofeedback training

Author

Listed:
  • Ujwal Chaudhary

    (ALS Voice gGmbH)

  • Ioannis Vlachos

    (Wyss Center for Bio and Neuroengineering)

  • Jonas B. Zimmermann

    (Wyss Center for Bio and Neuroengineering)

  • Arnau Espinosa

    (Wyss Center for Bio and Neuroengineering)

  • Alessandro Tonin

    (Wyss Center for Bio and Neuroengineering
    University of Tübingen)

  • Andres Jaramillo-Gonzalez

    (University of Tübingen)

  • Majid Khalili-Ardali

    (University of Tübingen)

  • Helge Topka

    (Department of Neurology, Clinical Neurophysiology, Cognitive Neurology and Stroke Unit, München Klinik Bogenhausen)

  • Jens Lehmberg

    (Department of Neurosurgery, München Klinik Bogenhausen)

  • Gerhard M. Friehs

    (European University)

  • Alain Woodtli

    (Wyss Center for Bio and Neuroengineering)

  • John P. Donoghue

    (Brown University)

  • Niels Birbaumer

    (University of Tübingen)

Abstract

Patients with amyotrophic lateral sclerosis (ALS) can lose all muscle-based routes of communication as motor neuron degeneration progresses, and ultimately, they may be left without any means of communication. While others have evaluated communication in people with remaining muscle control, to the best of our knowledge, it is not known whether neural-based communication remains possible in a completely locked-in state. Here, we implanted two 64 microelectrode arrays in the supplementary and primary motor cortex of a patient in a completely locked-in state with ALS. The patient modulated neural firing rates based on auditory feedback and he used this strategy to select letters one at a time to form words and phrases to communicate his needs and experiences. This case study provides evidence that brain-based volitional communication is possible even in a completely locked-in state.

Suggested Citation

  • Ujwal Chaudhary & Ioannis Vlachos & Jonas B. Zimmermann & Arnau Espinosa & Alessandro Tonin & Andres Jaramillo-Gonzalez & Majid Khalili-Ardali & Helge Topka & Jens Lehmberg & Gerhard M. Friehs & Alain, 2022. "Spelling interface using intracortical signals in a completely locked-in patient enabled via auditory neurofeedback training," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
    • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-28859-8
    DOI: 10.1038/s41467-022-28859-8
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    References listed on IDEAS

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    1. Leigh R. Hochberg & Mijail D. Serruya & Gerhard M. Friehs & Jon A. Mukand & Maryam Saleh & Abraham H. Caplan & Almut Branner & David Chen & Richard D. Penn & John P. Donoghue, 2006. "Neuronal ensemble control of prosthetic devices by a human with tetraplegia," Nature, Nature, vol. 442(7099), pages 164-171, July.
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    Cited by:

    1. Xinjian Xie & Zhonggang Xu & Xin Yu & Hong Jiang & Hongjiao Li & Wenqian Feng, 2023. "Liquid-in-liquid printing of 3D and mechanically tunable conductive hydrogels," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
    2. 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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