Evidence map›Paper›PMID 37990694›Full record

ArticleDevice2023

Wireless deep-brain neuromodulation using photovoltaics in the second near-infrared spectrum.

Han Cui, Su Zhao, Guosong Hong

Abstract read
In one paragraph

Article in Device, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. 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

3 authors.

Han CuiDepartment of Materials Science and Engineering, Stanford University, Stanford, CA, 94305, USA.
Su ZhaoDepartment of Materials Science and Engineering, Stanford University, Stanford, CA, 94305, USA.
Guosong HongDepartment of Materials Science and Engineering, Stanford University, Stanford, CA, 94305, USA.

Funding

Rapid brain-wide optogenetic screening with a noninvasive, dynamically programmable in vivo light sourceRF1NS126076 · NINDS · STANFORD UNIVERSITY · PI BUTTS-PAULY, KIM, CHEN, XIAOKE · 2022 to 2022
$1.8M
Brain Aging Studies with Single-Neuron Resolution Using Syringe-Injectable ElectronicsR00AG056636 · NIA · STANFORD UNIVERSITY · PI HONG, GUOSONG · 2018 to 2020
$745k
Mesh electronics for understanding space encoding in the amphibian brainR34NS127103 · NINDS · STANFORD UNIVERSITY · PI GIOCOMO, LISA, HONG, GUOSONG · 2022 to 2022
$653k
Brain Aging Studies with Single-Neuron Resolution Using Syringe-Injectable ElectronicsK99AG056636 · NIA · HARVARD UNIVERSITY · PI HONG, GUOSONG · 2017 to 2018
$255k
NIA NIH HHS K99 AG056636NIA NIH HHS R00 AG056636NINDS NIH HHS R34 NS127103NINDS NIH HHS RF1 NS126076
6 · The paper itself

Abstract

Conventional electrical neuromodulation techniques are constrained by the need for invasive implants in neural tissues, whereas methods using optogenetic are subjected to genetic alterations and hampered by the poor tissue penetration of visible light. Photovoltaic neuromodulation using light from the second near-infrared (NIR-II) spectrum, which minimizes scattering and enhances tissue penetration, shows promise as an alternative to existing neuromodulation technologies. NIR-II light has been used in deep-tissue imaging and in deep-brain photothermal neuromodulation via nanotransducers. This Perspective will provide an overview for the underpinning mechanisms of photovoltaic neuromodulation and identify avenues for future research in materials science and bioengineering that can further advance NIR-II photovoltaic neuromodulation methods.

Indexed as

Deep-brain stimulationNeuroscienceNIR-IIPhotovoltaicWireless neuromodulation

Identifiers

PMID37990694
PMCPMC10659575

What OpenQuestion holds

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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.