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

Giacomo Valle, Natalija Katic Secerovic, Dominic Eggemann, Oleg Gorskii, Natalia Pavlova, Francesco M. Petrini, Paul Cvancara, Thomas Stieglitz, Pavel Musienko, Marko Bumbasirevic and Stanisa Raspopovic ()
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Giacomo Valle: ETH Zürich
Natalija Katic Secerovic: ETH Zürich
Dominic Eggemann: ETH Zürich
Oleg Gorskii: Saint-Petersburg State University
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
Marko Bumbasirevic: University of Belgrade
Stanisa Raspopovic: ETH Zürich

Nature Communications, 2024, vol. 15, issue 1, 1-18

Abstract: 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.

Date: 2024
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DOI: 10.1038/s41467-024-45190-6

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