Evidence map›Paper›PMID 37425877›Full record

ArticlebioRxiv : the preprint server for biology2023

Tessellation of artificial touch via microstimulation of human somatosensory cortex.

Charles M Greenspon, Natalya D Shelchkova, Giacomo Valle, Taylor G Hobbs, Ev I Berger-Wolf, Brianna C Hutchison, Efe Dogruoz, Ceci Verbarschott, Thierri Callier, Anton R Sobinov and 20 more

Open access · greenAbstract 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. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed, 22 citations in OpenAlex.

No citing paper in PubMed yet.

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

30 authors at 6 institutions in 1 country.

Charles M GreensponDepartment of Organismal Biology and Anatomy, University of Chicago, Chicago, IL.
Natalya D ShelchkovaCommittee on Computational Neuroscience, 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.
Ev I Berger-WolfDepartment of Organismal Biology and Anatomy, University of Chicago, Chicago, IL.
Brianna C HutchisonDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, OH.
Efe DogruozDepartment of Organismal Biology and Anatomy, University of Chicago, Chicago, IL.
Ceci VerbarschottRehab Neural Engineering Labs, University of Pittsburgh, Pittsburgh, PA.
Thierri CallierDepartment of Organismal Biology and Anatomy, University of Chicago, Chicago, IL.
Anton R SobinovDepartment of Organismal Biology and Anatomy, University of Chicago, Chicago, IL.
Elizaveta V OkorokovaCommittee on Computational Neuroscience, University of Chicago, Chicago, IL.
Patrick M JordanDepartment of Organismal Biology and Anatomy, University of Chicago, Chicago, IL.
Dillan PrasadDepartment of Organismal Biology and Anatomy, University of Chicago, Chicago, IL.
Qinpu HeCommittee on Computational Neuroscience, University of Chicago, Chicago, IL.
Fang LiuRehab Neural Engineering Labs, University of Pittsburgh, Pittsburgh, PA.
Robert F KirschDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, OH.
Jonathan P MillerSchool of Medicine, Case Western Reserve University, Cleveland, OH.
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.
Abidemi B AjiboyeDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, OH.
Emily L GraczykDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, OH.
John E DowneyDepartment of Organismal Biology and Anatomy, University of Chicago, Chicago, IL.
Jennifer L CollingerRehab Neural Engineering Labs, University of Pittsburgh, Pittsburgh, PA.
Nicholas G HatsopoulosDepartment of Organismal Biology and Anatomy, University of Chicago, Chicago, IL.
Robert A GauntRehab Neural Engineering Labs, University of Pittsburgh, Pittsburgh, PA.
Sliman J BensmaiaDepartment of Organismal Biology and Anatomy, University of Chicago, Chicago, IL.
University of Chicago · USUniversity of Pittsburgh · USLouis Stokes Cleveland VA Medical Center · USCase Western Reserve University · USNorthwestern University · USSchwab Rehabilitation Hospital · US

Funding

A Biomimetic Approach Towards a Dexterous NeuroprosthesisUH3NS107714 · NINDS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BONINGER, MICHAEL L. · 2018 to 2023
$7.1M
Sensory mechanisms of manual dexterity and their application to neuroprostheticsR35NS122333 · NINDS · UNIVERSITY OF CHICAGO · PI HATSOPOULOS, NICHOLAS G · 2021 to 2024
$4.5M
Improving intracortical control of reaching after paralysisR01NS119160 · NINDS · CLEVELAND CLINIC LERNER COM-CWRU · PI AJIBOYE, ABIDEMI BOLU, TAYLOR, DAWN MARIE · 2020 to 2024
$2.8M
Restoring High Dimensional Hand Function to Persons with Chronic High TetraplegiaI01RX002654 · VA · LOUIS STOKES CLEVELAND VA MEDICAL CENTER · PI AJIBOYE, ABIDEMI BOLU · 2018 to 2022
–
NINDS NIH HHS R01 NS119160NINDS NIH HHS R35 NS122333NINDS NIH HHS UH3 NS107714RRD VA I01 RX002654
6 · The paper itself

Abstract

When we interact with objects, we rely on signals from the hand that convey information about the object and our interaction with it. A basic feature of these interactions, the locations of contacts between the hand and object, is often only available via the sense of touch. Information about locations of contact between a brain-controlled bionic hand and an object can be signaled via intracortical microstimulation (ICMS) of somatosensory cortex (S1), which evokes touch sensations that are localized to a specific patch of skin. To provide intuitive location information, tactile sensors on the robotic hand drive ICMS through electrodes that evoke sensations at skin locations matching sensor locations. This approach requires that ICMS-evoked sensations be focal, stable, and distributed over the hand. To systematically investigate the localization of ICMS-evoked sensations, we analyzed the projected fields (PFs) of ICMS-evoked sensations - their location and spatial extent - from reports obtained over multiple years from three participants implanted with microelectrode arrays in S1. First, we found that PFs vary widely in their size across electrodes, are highly stable within electrode, are distributed over large swaths of each participant's hand, and increase in size as the amplitude or frequency of ICMS increases. Second, while PF locations match the locations of the receptive fields (RFs) of the neurons near the stimulating electrode, PFs tend to be subsumed by the corresponding RFs. Third, multi-channel stimulation gives rise to a PF that reflects the conjunction of the PFs of the component channels. By stimulating through electrodes with largely overlapping PFs, then, we can evoke a sensation that is experienced primarily at the intersection of the component PFs. To assess the functional consequence of this phenomenon, we implemented multichannel ICMS-based feedback in a bionic hand and demonstrated that the resulting sensations are more localizable than are those evoked via single-channel ICMS.

Identifiers

PMID37425877
PMCPMC10327055
OpenAlexW4382058097

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.