Evidence map›Paper›PMID 33526908›Full record

ArticleNature biomedical engineering2022

A cutaneous mechanoneural interface for neuroprosthetic feedback.

Shriya S Srinivasan, Hugh M Herr

Abstract read
PubMed Publisher
In one paragraph

Article in Nature biomedical engineering, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.2field-weighted citation impact, top 13% 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.

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

10 citing papers in PubMed, 34 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Hybrid Bionic Nerve Interface for Application in Bionic Limbs.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023
    Article
  5. Article
  6. Article
  7. Article
  8. The Agonist-antagonist Myoneural Interface.Techniques in orthopaedics (Rockville, Md.) · 2021
    Article
  9. Article
  10. Neural interfacing architecture enables enhanced motor control and residual limb functionality postamputation.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
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

2 authors at 2 institutions in 1 country.

Shriya S SrinivasanMIT Media Lab, Center for Extreme Bionics, Massachusetts Institute of Technology, Cambridge, MA, USA. shriyas@mit.edu.ORCID http://orcid.org/0000-0002-2508-1324
Hugh M HerrMIT Media Lab, Center for Extreme Bionics, Massachusetts Institute of Technology, Cambridge, MA, USA. hherr@media.mit.edu.
Harvard–MIT Division of Health Sciences and Technology · USMassachusetts Institute of Technology · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Amputation destroys sensory end organs and does not provide an anatomical interface for cutaneous neuroprosthetic feedback. Here, we report the design and a biomechanical and electrophysiological evaluation of the cutaneous mechanoneural interface consisting of an afferent neural system that comprises a muscle actuator coupled to a natively pedicled skin flap in a cuff-like architecture. Muscle is actuated through electrical stimulation to induce strains or oscillatory vibrations on the skin flap that are proportional to a desired contact duration or contact pressure. In rat hindlimbs, the mechanoneural interface elicited native dermal mechanotransducers to generate at least four levels of graded contact and eight distinct vibratory afferents that were not significantly different from analogous mechanical stimulation of intact skin. The application of different patterns of electrical stimulation independently engaged slowly adapting and rapidly adapting mechanotransducers, and recreated an array of cutaneous sensations. The cutaneous mechanoneural interface can be integrated with current prosthetic technologies for tactile feedback.

Indexed as

MusclesSkinAfferent PathwaysAnimalsElectric StimulationFeedbackRats

Identifiers

PMID33526908
OpenAlexW3128909474

What OpenQuestion holds

Textmetadata
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.