Evidence map›Paper›PMID 35314800›Full record

ArticleNature biomedical engineering2022

Tether-free photothermal deep-brain stimulation in freely behaving mice via wide-field illumination in the near-infrared-II window.

Xiang Wu, Yuyan Jiang, Nicholas J Rommelfanger, Fan Yang, Qi Zhou, Rongkang Yin, Junlang Liu, Sa Cai, Wei Ren, Andrew Shin and 3 more

Open access · greenAbstract read
In one paragraph

Article in Nature biomedical engineering, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 79 papers.

0numbers the graph read from it
0cells of the map it votes in
79citing papers in PubMed
20.8field-weighted citation impact, top 1% 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

79 citing papers in PubMed, 212 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. A self-wrapping, bioresorbable neural interface for wireless multimodal therapy of localized peripheral nerve injury.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  11. Review
  12. Review
  13. Vibrational Probes in Bioimaging and Chemical Biology.Chemical & biomedical imaging · 2025
    Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Genetics-Based Targeting Strategies for Precise Neuromodulation.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
  20. Review

19 more citing papers are in PubMed but not listed here.

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

13 authors at 3 institutions in 2 countries.

Xiang Wu *Department of Materials Science and Engineering, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0001-8872-7738
Yuyan Jiang *School of Chemical and Biomedical Engineering, Nanyang Technological University, Singapore, Singapore.
Nicholas J RommelfangerWu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0002-1367-3939
Fan YangDepartment of Materials Science and Engineering, Stanford University, Stanford, CA, USA.
Qi ZhouDepartment of Materials Science and Engineering, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0003-0823-893X
Rongkang YinDepartment of Materials Science and Engineering, Stanford University, Stanford, CA, USA.
Junlang LiuDepartment of Materials Science and Engineering, Stanford University, Stanford, CA, USA.
Sa CaiDepartment of Materials Science and Engineering, Stanford University, Stanford, CA, USA.
Wei RenDepartment of Materials Science and Engineering, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0002-7346-5509
Andrew ShinDepartment of Materials Science and Engineering, Stanford University, Stanford, CA, USA.
Kyrstyn S OngDepartment of Materials Science and Engineering, Stanford University, Stanford, CA, USA.
Kanyi PuSchool of Chemical and Biomedical Engineering, Nanyang Technological University, Singapore, Singapore. kypu@ntu.edu.sg.ORCID http://orcid.org/0000-0002-8064-6009
Guosong HongDepartment of Materials Science and Engineering, Stanford University, Stanford, CA, USA. guosongh@stanford.edu.ORCID http://orcid.org/0000-0002-8858-4471
Neurosciences Institute · USNanyang Technological University · SGStanford University · US

Funding

Brain Aging Studies with Single-Neuron Resolution Using Syringe-Injectable ElectronicsR00AG056636 · NIA · STANFORD UNIVERSITY · PI HONG, GUOSONG · 2018 to 2020
$745k
NIA NIH HHS R00 AG056636
6 · The paper itself

Abstract

Neural circuitry is typically modulated via invasive brain implants and tethered optical fibres in restrained animals. Here we show that wide-field illumination in the second near-infrared spectral window (NIR-II) enables implant-and-tether-free deep-brain stimulation in freely behaving mice with stereotactically injected macromolecular photothermal transducers activating neurons ectopically expressing the temperature-sensitive transient receptor potential cation channel subfamily V member 1 (TRPV1). The macromolecular transducers, ~40 nm in size and consisting of a semiconducting polymer core and an amphiphilic polymer shell, have a photothermal conversion efficiency of 71% at 1,064 nm, the wavelength at which light attenuation by brain tissue is minimized (within the 400-1,800 nm spectral window). TRPV1-expressing neurons in the hippocampus, motor cortex and ventral tegmental area of mice can be activated with minimal thermal damage on wide-field NIR-II illumination from a light source placed at distances higher than 50 cm above the animal's head and at an incident power density of 10 mW mm

Indexed as

LightingPolymersAnimalsBrainMiceTemperatureTransducersPolymers

Identifiers

PMID35314800
PMCPMC9232843
OpenAlexW4221010482

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.