Evidence map›Paper›PMID 31427779›Full record

ArticleNature biomedical engineering2020

Spatially selective activation of the visual cortex via intraneural stimulation of the optic nerve.

Vivien Gaillet, Annarita Cutrone, Fiorenzo Artoni, Paola Vagni, Ariastity Mega Pratiwi, Sandra Alejandra Romero, Dario Lipucci Di Paola, Silvestro Micera, Diego Ghezzi

Open access · greenAbstract read
PubMed Publisher
In one paragraph

Article in Nature biomedical engineering, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
4.6field-weighted citation impact, top 4% 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

32 citing papers in PubMed, 76 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Aligning Visual Prosthetic Development With Implantee Needs.Translational vision science & technology · 2024
    Article
  10. Aligning visual prosthetic development with implantee needs.medRxiv : the preprint server for health sciences · 2024
    Article
  11. Article
  12. An Ultrasensitive Biomimetic Optic Afferent Nervous System with Circadian Learnability.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Ultrasound Retinal Stimulation: A Mini-Review of Recent Developments.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2022
    Review
  20. Implications of Neural Plasticity in Retinal Prosthesis.Investigative ophthalmology & visual science · 2022
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 2 countries.

Vivien Gaillet *Medtronic Chair in Neuroengineering, Center for Neuroprosthetics and Institute of Bioengineering, School of Engineering, École polytechnique fédérale de Lausanne, Geneva, Switzerland.
Annarita Cutrone *The BioRobotics Institute, Scuola Superiore Sant'Anna, Pisa, Italy.
Fiorenzo Artoni *The BioRobotics Institute, Scuola Superiore Sant'Anna, Pisa, Italy.ORCID http://orcid.org/0000-0002-0967-6643
Paola VagniMedtronic Chair in Neuroengineering, Center for Neuroprosthetics and Institute of Bioengineering, School of Engineering, École polytechnique fédérale de Lausanne, Geneva, Switzerland.ORCID http://orcid.org/0000-0003-1107-0947
Ariastity Mega PratiwiMedtronic Chair in Neuroengineering, Center for Neuroprosthetics and Institute of Bioengineering, School of Engineering, École polytechnique fédérale de Lausanne, Geneva, Switzerland.
Sandra Alejandra RomeroMedtronic Chair in Neuroengineering, Center for Neuroprosthetics and Institute of Bioengineering, School of Engineering, École polytechnique fédérale de Lausanne, Geneva, Switzerland.ORCID http://orcid.org/0000-0003-0194-1198
Dario Lipucci Di PaolaThe BioRobotics Institute, Scuola Superiore Sant'Anna, Pisa, Italy.
Silvestro MiceraThe BioRobotics Institute, Scuola Superiore Sant'Anna, Pisa, Italy.
Diego GhezziMedtronic Chair in Neuroengineering, Center for Neuroprosthetics and Institute of Bioengineering, School of Engineering, École polytechnique fédérale de Lausanne, Geneva, Switzerland. diego.ghezzi@epfl.ch.ORCID http://orcid.org/0000-0002-0554-7510
Wyss Center for Bio and Neuroengineering · CHScuola Superiore Sant'Anna · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Retinal prostheses can restore a functional form of vision in patients affected by dystrophies of the outer retinal layer. Beyond clinical utility, prostheses for the stimulation of the optic nerve, the visual thalamus or the visual cortex could also serve as tools for studying the visual system. Optic-nerve stimulation is particularly promising because it directly activates nerve fibres, takes advantage of the high-level information processing occurring downstream in the visual pathway, does not require optical transparency and could be effective in cases of eye trauma. Here we show, in anaesthetized rabbits and with support from numerical modelling, that an intraneural electrode array with high mechanical stability placed in the intracranial segment of the optic nerve induces, on electrical stimulation, selective activation patterns in the visual cortex. These patterns are measured as electrically evoked cortical potentials via an ECoG array placed in the contralateral cortex. The intraneural electrode array should enable further investigations of the effects of electrical stimulation in the visual system and could be further developed as a visual prosthesis for blind patients.

Indexed as

Visual ProsthesisAnimalsElectric StimulationElectrocorticographyElectrodes, ImplantedEvoked Potentials, VisualFemaleOptic NerveRabbitsVisual Cortex

Identifiers

PMID31427779
OpenAlexW2969880795

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.