Evidence map›Paper›PMID 38378671›Full record

ArticleNature communications2024

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 1 more

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03350061 (Restoration of Sensations From the Lost Limb to Amputees for Fall Avoidance, Regular Walking, Phantom Limb Pain Diminishment and Embodiment of Prosthesis), which is not on this map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
10.0field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT03350061 nacompletednot on this map

Restoration of Sensations From the Lost Limb to Amputees for Fall Avoidance, Regular Walking, Phantom Limb Pain Diminishment and Embodiment of Prosthesis

TypeinterventionalSponsorClinical Centre of SerbiaRan2017 to 2020Enrolled3ConditionsAmputation, Phantom Limb Pain, Sensory DeficitArmsSENSY
3 · Its place in the literature

Who cites it

32 citing papers in PubMed, 54 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 7 institutions in 6 countries.

Giacomo Valle *Laboratory for Neuroengineering, Department of Health Sciences and Technology, Institute for Robotics and Intelligent Systems, ETH Zürich, Zürich, Switzerland.ORCID 0000-0002-2637-8007
Natalija Katic Secerovic *Laboratory for Neuroengineering, Department of Health Sciences and Technology, Institute for Robotics and Intelligent Systems, ETH Zürich, Zürich, Switzerland.ORCID 0000-0001-5097-4119
Dominic EggemannLaboratory for Neuroengineering, Department of Health Sciences and Technology, Institute for Robotics and Intelligent Systems, ETH Zürich, Zürich, Switzerland.
Oleg GorskiiLaboratory for Neuroprosthetics, Institute of Translational Biomedicine, Saint-Petersburg State University, Saint-Petersburg, Russia.
Natalia PavlovaLaboratory for Neuroprosthetics, Institute of Translational Biomedicine, Saint-Petersburg State University, Saint-Petersburg, Russia.
Francesco M PetriniSensArs Neuroprosthetics, Saint-Sulpice, CH-1025, Switzerland.
Paul CvancaraLaboratory for Biomedical Microtechnology, Department of Microsystems Engineering-IMTEK, Bernstein Center, BrainLinks-BrainTools Center of Excellence, University of Freiburg, D-79110, Freiburg, Germany.ORCID 0000-0003-2189-4413
Thomas StieglitzLaboratory for Biomedical Microtechnology, Department of Microsystems Engineering-IMTEK, Bernstein Center, BrainLinks-BrainTools Center of Excellence, University of Freiburg, D-79110, Freiburg, Germany.ORCID 0000-0002-7349-4254
Pavel MusienkoLaboratory for Neuroprosthetics, Institute of Translational Biomedicine, Saint-Petersburg State University, Saint-Petersburg, Russia.
Marko BumbasirevicOrthopaedic Surgery Department, School of Medicine, University of Belgrade, 11000, Belgrade, Serbia.
Stanisa RaspopovicLaboratory for Neuroengineering, Department of Health Sciences and Technology, Institute for Robotics and Intelligent Systems, ETH Zürich, Zürich, Switzerland. nesta.fale@gmail.com.ORCID 0000-0003-0567-9051
ETH Zurich · CHBernstein Center for Computational Neuroscience Freiburg · DESt Petersburg University · RUInstitut Mihajlo Pupin · RSNational University of Science and Technology · RUUnited Nations Children's Fund · USUniversity of Belgrade · RS

Funding

EC | Horizon 2020 Framework Programme (EU Framework Programme for Research and Innovation H2020) 759998Gebert Rüf Stiftung (Gebert Rüf Foundation) GRS-096/21Saint Petersburg State University (St. Petersburg State University) 93022925/94030803Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (Swiss National Science Foundation) 197271
6 · The paper itself

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.

Indexed as

BiomimeticsTouchBrainComputersGanglia, SpinalHumansMale

Identifiers

PMID38378671
PMCPMC10879152
OpenAlexW4391954050

What OpenQuestion holds

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LicenceCC BY
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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.