Evidence map›Paper›PMID 31879342›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2020

The frequency of cortical microstimulation shapes artificial touch.

Thierri Callier, Nathan W Brantly, Attilio Caravelli, Sliman J Bensmaia

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing 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

35 citing papers in PubMed.

  1. Trial
  2. Review
  3. Integration of learned artificial sensation with vision during freely moving navigation.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Clinical Applications and Future Translation of Somatosensory Neuroprostheses.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Neural Plasticity in Sensorimotor Brain-Machine Interfaces.Annual review of biomedical engineering · 2023
    Review
  18. Restoration of sensory information via bionic hands.Nature biomedical engineering · 2023
    Review
  19. Review
  20. 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

4 authors.

Thierri CallierCommittee on Computational Neuroscience, University of Chicago, Chicago, IL 60637.
Nathan W BrantlyDepartment of Organismal Biology and Anatomy, University of Chicago, Chicago, IL 60637.
Attilio CaravelliDepartment of Organismal Biology and Anatomy, University of Chicago, Chicago, IL 60637.
Sliman J BensmaiaCommittee on Computational Neuroscience, University of Chicago, Chicago, IL 60637; sliman@uchicago.edu.ORCID 0000-0003-4039-9135

Funding

Biomimetic Somatosensory Feedback through IntracorticalmicrostimulationR01NS095251 · NINDS · NORTHWESTERN UNIVERSITY AT CHICAGO · PI BENSMAIA, SLIMAN, GRILL, WARREN M. · 2016 to 2020
$3.7M
NINDS NIH HHS R01 NS095251
6 · The paper itself

Abstract

Intracortical microstimulation (ICMS) of the somatosensory cortex evokes vivid tactile sensations and can be used to convey sensory feedback from brain-controlled bionic hands. Changes in ICMS frequency lead to changes in the resulting sensation, but the discriminability of frequency has only been investigated over a narrow range of low frequencies. Furthermore, the sensory correlates of changes in ICMS frequency remain poorly understood. Specifically, it remains to be elucidated whether changes in frequency only modulate sensation magnitude-as do changes in amplitude-or whether they also modulate the quality of the sensation. To fill these gaps, we trained monkeys to discriminate the frequency of ICMS pulse trains over a wide range of frequencies (from 10 to 400 Hz). ICMS amplitude also varied across stimuli to dissociate sensation magnitude from ICMS frequency and ensure that animals could not make frequency judgments based on magnitude. We found that animals could consistently discriminate ICMS frequency up to ∼200 Hz but that the sensory correlates of frequency were highly electrode dependent: On some electrodes, changes in frequency were perceptually distinguishable from changes in amplitude-seemingly giving rise to a change in sensory quality; on others, they were not. We discuss the implications of our findings for neural coding and for brain-controlled bionic hands.

Indexed as

AnimalsBehavior Rating ScaleElectric StimulationElectrodes, ImplantedFeedback, SensoryMacaca mulattaMaleSomatosensory CortexTouchTouch Perceptionartificial touchbionic handsneuroprostheticssensory feedbacktemporal coding

Identifiers

PMID31879342
PMCPMC6969512

What OpenQuestion holds

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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.