Evidence map›Paper›PMID 36065014›Full record

ArticleNature biomedical engineering2023

Bioresorbable thin-film silicon diodes for the optoelectronic excitation and inhibition of neural activities.

Yunxiang Huang, Yuting Cui, Hanjie Deng, Jingjing Wang, Rongqi Hong, Shuhan Hu, Hanqing Hou, Yuanrui Dong, Huachun Wang, Junyu Chen and 11 more

Abstract read
PubMed Publisher
In one paragraph

Article in Nature biomedical engineering, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
8.6field-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

38 citing papers in PubMed, 87 citations in OpenAlex.

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  18. Electrical Stimulation Therapy - Dedicated to the Perfect Plastic Repair.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
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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

21 authors at 7 institutions in 2 countries.

Yunxiang Huang *Department of Electronic Engineering, Beijing National Research Center for Information Science and Technology, Institute for Precision Medicine, Center for Flexible Electronics Technology, Tsinghua University, Beijing, China.
Yuting Cui *Chinese Institute for Brain Research, Beijing, China.
Hanjie Deng *CAS Key Laboratory of Brain Connectome and Manipulation, the Brain Cognition and Brain Disease Institute (BCBDI), Shenzhen Institute of Advanced Technology, Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions, Shenzhen, China.
Jingjing WangCAS Key Laboratory of Brain Connectome and Manipulation, the Brain Cognition and Brain Disease Institute (BCBDI), Shenzhen Institute of Advanced Technology, Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions, Shenzhen, China.
Rongqi HongCAS Key Laboratory of Brain Connectome and Manipulation, the Brain Cognition and Brain Disease Institute (BCBDI), Shenzhen Institute of Advanced Technology, Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions, Shenzhen, China.
Shuhan HuIDG/McGovern Institute for Brain Research, Tsinghua University, Beijing, China.
Hanqing HouIDG/McGovern Institute for Brain Research, Tsinghua University, Beijing, China.
Yuanrui DongBeijing Advanced Innovation Center for Intelligent Robots and Systems, Beijing Institute of Technology, Beijing, China.
Huachun WangDepartment of Electronic Engineering, Beijing National Research Center for Information Science and Technology, Institute for Precision Medicine, Center for Flexible Electronics Technology, Tsinghua University, Beijing, China.
Junyu ChenDepartment of Electronic Engineering, Beijing National Research Center for Information Science and Technology, Institute for Precision Medicine, Center for Flexible Electronics Technology, Tsinghua University, Beijing, China.
Lizhu LiDepartment of Electronic Engineering, Beijing National Research Center for Information Science and Technology, Institute for Precision Medicine, Center for Flexible Electronics Technology, Tsinghua University, Beijing, China.
Yang XieDepartment of Electronic Engineering, Beijing National Research Center for Information Science and Technology, Institute for Precision Medicine, Center for Flexible Electronics Technology, Tsinghua University, Beijing, China.
Pengcheng SunSchool of Materials Science and Engineering, The Key Laboratory of Advanced Materials of Ministry of Education, State Key Laboratory of New Ceramics and Fine Processing, Center for Flexible Electronics Technology, Tsinghua University, Beijing, China.
Xin FuSchool of Materials Science and Engineering, The Key Laboratory of Advanced Materials of Ministry of Education, State Key Laboratory of New Ceramics and Fine Processing, Center for Flexible Electronics Technology, Tsinghua University, Beijing, China.
Lan YinSchool of Materials Science and Engineering, The Key Laboratory of Advanced Materials of Ministry of Education, State Key Laboratory of New Ceramics and Fine Processing, Center for Flexible Electronics Technology, Tsinghua University, Beijing, China.
Wei XiongIDG/McGovern Institute for Brain Research, Tsinghua University, Beijing, China.
Song-Hai ShiIDG/McGovern Institute for Brain Research, Tsinghua University, Beijing, China.
Minmin LuoIDG/McGovern Institute for Brain Research, Tsinghua University, Beijing, China.
Shirong WangBeijing Advanced Innovation Center for Intelligent Robots and Systems, Beijing Institute of Technology, Beijing, China. shirong.wang@bit.edu.cn.
Xiaojian LiCAS Key Laboratory of Brain Connectome and Manipulation, the Brain Cognition and Brain Disease Institute (BCBDI), Shenzhen Institute of Advanced Technology, Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions, Shenzhen, China. xj.li@siat.ac.cn.
Xing ShengDepartment of Electronic Engineering, Beijing National Research Center for Information Science and Technology, Institute for Precision Medicine, Center for Flexible Electronics Technology, Tsinghua University, Beijing, China. xingsheng@tsinghua.edu.cn.ORCID 0000-0002-8744-1700
Chinese Institute for Brain Research · CNHKUST Shenzhen Research Institute · CNTsinghua University · CNState Key Laboratory of New Ceramics and Fine ProcessingBeijing Institute of Technology · CNNational Institute of Biological Sciences, Beijing · CNMcGovern Institute for Brain Research · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neural activities can be modulated by leveraging light-responsive nanomaterials as interfaces for exerting photothermal, photoelectrochemical or photocapacitive effects on neurons or neural tissues. Here we show that bioresorbable thin-film monocrystalline silicon pn diodes can be used to optoelectronically excite or inhibit neural activities by establishing polarity-dependent positive or negative photovoltages at the semiconductor/solution interface. Under laser illumination, the silicon-diode optoelectronic interfaces allowed for the deterministic depolarization or hyperpolarization of cultured neurons as well as the upregulated or downregulated intracellular calcium dynamics. The optoelectronic interfaces can also be mounted on nerve tissue to activate or silence neural activities in peripheral and central nervous tissues, as we show in mice with exposed sciatic nerves and somatosensory cortices. Bioresorbable silicon-based optoelectronic thin films that selectively excite or inhibit neural tissue may find advantageous biomedical applicability.

Indexed as

NanostructuresSiliconAbsorbable ImplantsAnimalsLightMiceSciatic NerveSilicon

Identifiers

PMID36065014
OpenAlexW4294636955

What OpenQuestion holds

Textmetadata
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.