TY - JOUR

T1 - Biomimetic computer-to-brain communication enhancing naturalistic touch sensations via peripheral nerve stimulation

AU - Valle, G.

AU - Katic Secerovic, N.

AU - Eggemann, D.

AU - Gorskii, O.

AU - Pavlova, N.

AU - Petrini, F.M.

AU - Cvancara, P.

AU - Stieglitz, T.

AU - Musienko, P.

AU - Bumbasirevic, M.

AU - Raspopovic, S.

N1 - Export Date: 04 March 2024; Cited By: 0

PY - 2024/2/20

Y1 - 2024/2/20

N2 - 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. © The Author(s) 2024.

AB - 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. © The Author(s) 2024.

KW - Biomimetics

KW - Brain

KW - Computers

KW - Ganglia, Spinal

KW - Humans

KW - Male

KW - Touch/physiology

UR - https://www.mendeley.com/catalogue/119f5c53-2a77-36bf-bbaf-6f2aabc37340/

U2 - 10.1038/s41467-024-45190-6

DO - 10.1038/s41467-024-45190-6

M3 - статья

C2 - 38378671

VL - 15

JO - Nature Communications

JF - Nature Communications

SN - 2041-1723

IS - 1

M1 - 1151

ER -