Evidence map›Paper›PMID 38096422›Full record

ArticleACS nano2023

Ultrasound-Induced Cascade Amplification in a Mechanoluminescent Nanotransducer for Enhanced Sono-Optogenetic Deep Brain Stimulation.

Wenliang Wang, Kai Wing Kevin Tang, Ilya Pyatnitskiy, Xiangping Liu, Xi Shi, David Huo, Jinmo Jeong, Thomas Wynn, Arjun Sangani, Andrew Baker and 6 more

Open access · greenAbstract read
In one paragraph

Article in ACS nano, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
4.0field-weighted citation impact, top 5% 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

11 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Genetics-Based Targeting Strategies for Precise Neuromodulation.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
  6. Article
  7. Editorial forBrain sciences · 2025
    Article
  8. Article
  9. Force-Based Neuromodulation.Accounts of chemical research · 2024
    Review
  10. Review
  11. 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

16 authors at 2 institutions in 1 country.

Wenliang WangBiomedical Engineering Cockrell School of Engineering, The University of Texas at Austin, Austin, Texas 78712, United States.ORCID 0000-0003-0575-8139
Kai Wing Kevin TangBiomedical Engineering Cockrell School of Engineering, The University of Texas at Austin, Austin, Texas 78712, United States.
Ilya PyatnitskiyBiomedical Engineering Cockrell School of Engineering, The University of Texas at Austin, Austin, Texas 78712, United States.
Xiangping LiuBiomedical Engineering Cockrell School of Engineering, The University of Texas at Austin, Austin, Texas 78712, United States.
Xi ShiDepartment of Molecular Biosciences, The University of Texas at Austin, Austin, Texas 78712, United States.
David HuoBiomedical Engineering Cockrell School of Engineering, The University of Texas at Austin, Austin, Texas 78712, United States.
Jinmo JeongBiomedical Engineering Cockrell School of Engineering, The University of Texas at Austin, Austin, Texas 78712, United States.
Thomas WynnBiomedical Engineering Cockrell School of Engineering, The University of Texas at Austin, Austin, Texas 78712, United States.
Arjun SanganiBiomedical Engineering Cockrell School of Engineering, The University of Texas at Austin, Austin, Texas 78712, United States.
Andrew BakerBiomedical Engineering Cockrell School of Engineering, The University of Texas at Austin, Austin, Texas 78712, United States.
Ju-Chun HsiehBiomedical Engineering Cockrell School of Engineering, The University of Texas at Austin, Austin, Texas 78712, United States.
Anakaren Romero LozanoBiomedical Engineering Cockrell School of Engineering, The University of Texas at Austin, Austin, Texas 78712, United States.
Brinkley ArtmanBiomedical Engineering Cockrell School of Engineering, The University of Texas at Austin, Austin, Texas 78712, United States.
Lief FennoDepartment of Psychiatry & Behavioral Science, The University of Texas at Austin Dell Medical School, Austin, Texas 78712, United States.
Vivek P BuchDepartment of Neurosurgery, Stanford University, Stanford, California 94304, United States.
Huiliang WangBiomedical Engineering Cockrell School of Engineering, The University of Texas at Austin, Austin, Texas 78712, United States.ORCID 0000-0003-4063-270X
The University of Texas at Austin · USStanford University · US

Funding

Non-Invasive and Non-Viral Sono-OptogeneticsR35GM147408 · NIGMS · UNIVERSITY OF TEXAS AT AUSTIN · PI Huiliang Wang · 2022 to 2026
$2.0M
NIGMS NIH HHS R35 GM147408
6 · The paper itself

Abstract

Remote and genetically targeted neuromodulation in the deep brain is important for understanding and treatment of neurological diseases. Ultrasound-triggered mechanoluminescent technology offers a promising approach for achieving remote and genetically targeted brain modulation. However, its application has thus far been limited to shallow brain depths due to challenges related to low sonochemical reaction efficiency and restricted photon yields. Here we report a cascaded mechanoluminescent nanotransducer to achieve efficient light emission upon ultrasound stimulation. As a result, blue light was generated under ultrasound stimulation with a subsecond response latency. Leveraging the high energy transfer efficiency of focused ultrasound in brain tissue and the high sensitivity to ultrasound of these mechanoluminescent nanotransducers, we are able to show efficient photon delivery and activation of ChR2-expressing neurons in both the superficial motor cortex and deep ventral tegmental area after intracranial injection. Our liposome nanotransducers enable minimally invasive deep brain stimulation for behavioral control in animals via a flexible, mechanoluminescent sono-optogenetic system.

Indexed as

Deep Brain StimulationAnimalsBrainNeuronsOptogeneticsPhotonsfocused ultrasoundlipidsneuromodulationoptogeneticssono-mechanoluminescence

Identifiers

PMID38096422
PMCPMC10932741
OpenAlexW4389722010

What OpenQuestion holds

Textmetadata
LicenceTDM
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.