Evidence map›Paper›PMID 33997768›Full record

ArticleMatter2021

Nanotransducers for Wireless Neuromodulation.

Xiuying Li, Hejian Xiong, Nicholas Rommelfanger, Xueqi Xu, Jonghae Youn, Paul A Slesinger, Guosong Hong, Zhenpeng Qin

Abstract read
In one paragraph

Article in Matter, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Smart Nanotechnologies for Multimodal Neuromodulation and Brain Interfacing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Biopiezoelectric-based nanomaterials; a promising strategy in cancer therapy.Journal of experimental & clinical cancer research : CR · 2025
    Review
  8. Review
  9. Article
  10. Force-Based Neuromodulation.Accounts of chemical research · 2024
    Review
  11. Review
  12. Review
  13. The New Era of Neural Modulation Led by Smart Nanomaterials.International journal of nanomedicine · 2024
    Review
  14. Review
  15. Magnetoelectric nanoparticles shape modulates their electrical output.Frontiers in bioengineering and biotechnology · 2023
    Article
  16. Article
  17. Article
  18. 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

8 authors.

Xiuying LiDepartment of Mechanical Engineering, The University of Texas at Dallas, Richardson, TX, 75080, USA.
Hejian XiongDepartment of Mechanical Engineering, The University of Texas at Dallas, Richardson, TX, 75080, USA.
Nicholas RommelfangerDepartment of Applied Physics, Stanford University, Stanford, CA 94305, USA.
Xueqi XuDepartment of Mechanical Engineering, The University of Texas at Dallas, Richardson, TX, 75080, USA.
Jonghae YounDepartment of Mechanical Engineering, The University of Texas at Dallas, Richardson, TX, 75080, USA.
Paul A SlesingerNash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY,10029, USA.
Guosong HongWu Tsai Neurosciences Institute, Stanford University, Stanford, CA 94305, USA.
Zhenpeng QinDepartment of Mechanical Engineering, The University of Texas at Dallas, Richardson, TX, 75080, USA.

Funding

Development of new photo-releasable neuropeptide nano-vesicles for studying modulation in the brainRF1NS110499 · NINDS · UNIVERSITY OF TEXAS DALLAS · PI QIN, ZHENPENG, SLESINGER, PAUL A · 2019 to 2019
$2.4M
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 AG056636NINDS NIH HHS RF1 NS110499
6 · The paper itself

Abstract

Understanding the signal transmission and processing within the central nervous system (CNS) is a grand challenge in neuroscience. The past decade has witnessed significant advances in the development of new tools to address this challenge. Development of these new tools draws diverse expertise from genetics, materials science, electrical engineering, photonics and other disciplines. Among these tools, nanomaterials have emerged as a unique class of neural interfaces due to their small size, remote coupling and conversion of different energy modalities, various delivery methods, and mitigated chronic immune responses. In this review, we will discuss recent advances in nanotransducers to modulate and interface with the neural system without physical wires. Nanotransducers work collectively to modulate brain activity through optogenetic, mechanical, thermal, electrical and chemical modalities. We will compare important parameters among these techniques including the invasiveness, spatiotemporal precision, cell-type specificity, brain penetration, and translation to large animals and humans. Important areas for future research include a better understanding of the nanomaterials-brain interface, integration of sensing capability for bidirectional closed-loop neuromodulation, and genetically engineered functional materials for cell-type specific neuromodulation.

Indexed as

magnetic stimulationnanotransducersneuromodulationoptical stimulationultrasound modulation

Identifiers

PMID33997768
PMCPMC8117115

What OpenQuestion holds

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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.