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Biomimetic computer-to-brain communication enhancing naturalistic touch sensations via peripheral nerve stimulation

Author

Listed:
  • Giacomo Valle

    (ETH Zürich)

  • Natalija Katic Secerovic

    (ETH Zürich
    University of Belgrade
    University of Belgrade)

  • Dominic Eggemann

    (ETH Zürich)

  • Oleg Gorskii

    (Saint-Petersburg State University
    Russian Academy of Sciences
    National University of Science and Technology “MISIS”)

  • Natalia Pavlova

    (Saint-Petersburg State University)

  • Francesco M. Petrini

    (SensArs Neuroprosthetics)

  • Paul Cvancara

    (University of Freiburg)

  • Thomas Stieglitz

    (University of Freiburg)

  • Pavel Musienko

    (Saint-Petersburg State University
    Neuroscience Program
    Life Improvement by Future Technologies Center “LIFT”)

  • Marko Bumbasirevic

    (University of Belgrade)

  • Stanisa Raspopovic

    (ETH Zürich)

Abstract

Artificial communication with the brain through peripheral nerve stimulation shows promising results in individuals with sensorimotor deficits. However, these efforts lack an intuitive and natural sensory experience. In this study, we design and test a biomimetic neurostimulation framework inspired by nature, capable of “writing” physiologically plausible information back into the peripheral nervous system. Starting from an in-silico model of mechanoreceptors, we develop biomimetic stimulation policies. We then experimentally assess them alongside mechanical touch and common linear neuromodulations. Neural responses resulting from biomimetic neuromodulation are consistently transmitted towards dorsal root ganglion and spinal cord of cats, and their spatio-temporal neural dynamics resemble those naturally induced. We implement these paradigms within the bionic device and test it with patients (ClinicalTrials.gov identifier NCT03350061). He we report that biomimetic neurostimulation improves mobility (primary outcome) and reduces mental effort (secondary outcome) compared to traditional approaches. The outcomes of this neuroscience-driven technology, inspired by the human body, may serve as a model for advancing assistive neurotechnologies.

Suggested Citation

  • Giacomo Valle & Natalija Katic Secerovic & Dominic Eggemann & Oleg Gorskii & Natalia Pavlova & Francesco M. Petrini & Paul Cvancara & Thomas Stieglitz & Pavel Musienko & Marko Bumbasirevic & Stanisa R, 2024. "Biomimetic computer-to-brain communication enhancing naturalistic touch sensations via peripheral nerve stimulation," Nature Communications, Nature, vol. 15(1), pages 1-18, December.
    • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-45190-6
    DOI: 10.1038/s41467-024-45190-6
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    References listed on IDEAS

    as
    1. L. F. Abbott & Wade G. Regehr, 2004. "Synaptic computation," Nature, Nature, vol. 431(7010), pages 796-803, October.
    2. Fabien B. Wagner & Jean-Baptiste Mignardot & Camille G. Le Goff-Mignardot & Robin Demesmaeker & Salif Komi & Marco Capogrosso & Andreas Rowald & Ismael Seáñez & Miroslav Caban & Elvira Pirondini & Mol, 2018. "Targeted neurotechnology restores walking in humans with spinal cord injury," Nature, Nature, vol. 563(7729), pages 65-71, November.
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