Evidence map›Paper›PMID 24872704›Full record

ReviewInternational journal of nanomedicine2014

Novel interfaces for light directed neuronal stimulation: advances and challenges.

Lilach Bareket-Keren, Yael Hanein

Abstract readReview
In one paragraph

Review in International journal of nanomedicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 citing papers in PubMed.

  1. Stimuli-Responsive Materials for Biomedical Applications.Advanced materials (Deerfield Beach, Fla.) · 2025
    Review
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Optoelectronic Neural Interfaces Based on Quantum Dots.ACS applied materials & interfaces · 2022
    Review
  10. Article
  11. Article
  12. Article
  13. Review
  14. Organic Photovoltaic Pseudocapacitors for Neurostimulation.ACS applied materials & interfaces · 2020
    Article
  15. Article
  16. Plasmon-Coupled Photocapacitor Neuromodulators.ACS applied materials & interfaces · 2020
    Article
  17. Article
  18. Article
  19. Article
  20. Review
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.

Lilach Bareket-KerenSchool of Electrical Engineering, Tel-Aviv University, Tel-Aviv University, Tel-Aviv, Israel ; Tel-Aviv University Center for Nanoscience and Nanotechnology, Tel-Aviv University, Tel-Aviv, Israel.
Yael HaneinSchool of Electrical Engineering, Tel-Aviv University, Tel-Aviv University, Tel-Aviv, Israel ; Tel-Aviv University Center for Nanoscience and Nanotechnology, Tel-Aviv University, Tel-Aviv, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Light activation of neurons is a growing field with applications ranging from basic investigation of neuronal systems to the development of new therapeutic methods such as artificial retina. Many recent studies currently explore novel methods for optical stimulation with temporal and spatial precision. Novel materials in particular provide an opportunity to enhance contemporary approaches. Here we review recent advances towards light directed interfaces for neuronal stimulation, focusing on state-of-the-art nanoengineered devices. In particular, we highlight challenges and prospects towards improved retinal prostheses.

Indexed as

NanomedicineNeuronsPhotic StimulationAnimalsBiomedical EngineeringHumansMiceOptogeneticsPhotochemical ProcessesQuantum DotsVisual Prosthesisconducting polymerslightneuronal stimulationphotoconductiveprosthesisquantum dotsretinal implant

Identifiers

PMID24872704
PMCPMC4024977

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.