Evidence map›Paper›PMID 36824713›Full record

ArticlebioRxiv : the preprint server for biology2023

Biomimetic multi-channel microstimulation of somatosensory cortex conveys high resolution force feedback for bionic hands.

Charles M Greenspon, Giacomo Valle, Taylor G Hobbs, Ceci Verbaarschot, Thierri Callier, Elizaveta V Okorokova, Natalya D Shelchkova, Anton R Sobinov, Patrick M Jordan, Jeffrey M Weiss and 14 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

24 authors.

Charles M GreensponDepartment of Organismal Biology and Anatomy, University of Chicago, Chicago, IL.
Giacomo ValleDepartment of Organismal Biology and Anatomy, University of Chicago, Chicago, IL.
Taylor G HobbsRehab Neural Engineering Labs, University of Pittsburgh, Pittsburgh, PA.
Ceci VerbaarschotRehab Neural Engineering Labs, University of Pittsburgh, Pittsburgh, PA.
Thierri CallierCommittee on Computational Neuroscience, University of Chicago, Chicago, IL.
Elizaveta V OkorokovaCommittee on Computational Neuroscience, University of Chicago, Chicago, IL.
Natalya D ShelchkovaCommittee on Computational Neuroscience, University of Chicago, Chicago, IL.
Anton R SobinovDepartment of Organismal Biology and Anatomy, University of Chicago, Chicago, IL.
Patrick M JordanDepartment of Organismal Biology and Anatomy, University of Chicago, Chicago, IL.
Jeffrey M WeissRehab Neural Engineering Labs, University of Pittsburgh, Pittsburgh, PA.
Emily E FitzgeraldDepartment of Organismal Biology and Anatomy, University of Chicago, Chicago, IL.
Dillan PrasadDepartment of Organismal Biology and Anatomy, University of Chicago, Chicago, IL.
Ashley van DriescheDepartment of Organismal Biology and Anatomy, University of Chicago, Chicago, IL.
Ray C LeeSchwab Rehabilitation Hospital, Chicago, IL.
David SatzerDepartment of Neurological Surgery, University of Chicago, Chicago, IL.
Jorge Gonzalez-MartinezDepartment of Neurosurgery, University of Pittsburgh, Pittsburgh, PA.
Peter C WarnkeDepartment of Neurological Surgery, University of Chicago, Chicago, IL.
Lee E MillerDepartment of Neuroscience, Northwestern University, Chicago, IL.
Michael L BoningerRehab Neural Engineering Labs, University of Pittsburgh, Pittsburgh, PA.
Jennifer L CollingerRehab Neural Engineering Labs, University of Pittsburgh, Pittsburgh, PA.
Robert A GauntRehab Neural Engineering Labs, University of Pittsburgh, Pittsburgh, PA.
John E DowneyDepartment of Organismal Biology and Anatomy, University of Chicago, Chicago, IL.
Nicholas G HatsopoulosDepartment of Organismal Biology and Anatomy, University of Chicago, Chicago, IL.
Sliman J BensmaiaDepartment of Organismal Biology and Anatomy, University of Chicago, Chicago, IL.

Funding

A Biomimetic Approach Towards a Dexterous NeuroprosthesisUH3NS107714 · NINDS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BONINGER, MICHAEL L. · 2018 to 2023
$7.1M
UNIVERSITY OF CHICAGO PREPR25GM066522 · NIGMS · UNIVERSITY OF CHICAGO · PI CARRILLO, ROBERT ARNULFO, RANDALL, GLENN C · 2004 to 2024
$6.7M
Sensory mechanisms of manual dexterity and their application to neuroprostheticsR35NS122333 · NINDS · UNIVERSITY OF CHICAGO · PI HATSOPOULOS, NICHOLAS G · 2021 to 2024
$4.5M
Predoctoral Training of NeuroscientistsT32NS105604 · NINDS · UNIVERSITY OF MINNESOTA · PI A DAVID REDISH · 2018 to 2026
$3.5M
NIGMS NIH HHS R25 GM066522NINDS NIH HHS R35 NS122333NINDS NIH HHS T32 NS105604NINDS NIH HHS UH3 NS107714
6 · The paper itself

Abstract

Manual interactions with objects are supported by tactile signals from the hand. This tactile feedback can be restored in brain-controlled bionic hands via intracortical microstimulation (ICMS) of somatosensory cortex (S1). In ICMS-based tactile feedback, contact force can be signaled by modulating the stimulation intensity based on the output of force sensors on the bionic hand, which in turn modulates the perceived magnitude of the sensation. In the present study, we gauged the dynamic range and precision of ICMS-based force feedback in three human participants implanted with arrays of microelectrodes in S1. To this end, we measured the increases in sensation magnitude resulting from increases in ICMS amplitude and participant's ability to distinguish between different intensity levels. We then assessed whether we could improve the fidelity of this feedback by implementing "biomimetic" ICMS-trains, designed to evoke patterns of neuronal activity that more closely mimic those in natural touch, and by delivering ICMS through multiple channels at once. We found that multi-channel biomimetic ICMS gives rise to stronger and more distinguishable sensations than does its single-channel counterpart. Finally, we implemented biomimetic multi-channel feedback in a bionic hand and had the participant perform a compliance discrimination task. We found that biomimetic multi-channel tactile feedback yielded improved discrimination over its single-channel linear counterpart. We conclude that multi-channel biomimetic ICMS conveys finely graded force feedback that more closely approximates the sensitivity conferred by natural touch.

Identifiers

PMID36824713
PMCPMC9949113

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.