Evidence map›Paper›PMID 34567675›Full record

ArticleMicrosystems & nanoengineering2020

A wireless, implantable optoelectrochemical probe for optogenetic stimulation and dopamine detection.

Changbo Liu, Yu Zhao, Xue Cai, Yang Xie, Taoyi Wang, Dali Cheng, Lizhu Li, Rongfeng Li, Yuping Deng, He Ding and 8 more

Open access · goldAbstract read
In one paragraph

Article in Microsystems & nanoengineering, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
5.5field-weighted citation impact, top 3% 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

35 citing papers in PubMed, 104 citations in OpenAlex.

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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

18 authors at 6 institutions in 2 countries.

Changbo LiuSchool of Materials Science and Engineering and Hangzhou Innovation Institute, Beihang University, Beijing, 100191 China.
Yu ZhaoDepartment of Electronic Engineering, Beijing National Research Center for Information Science and Technology and IDG/McGovern Institute for Brain Research, Tsinghua University, Beijing, 100084 China.
Xue CaiDepartment of Electronic Engineering, Beijing National Research Center for Information Science and Technology and IDG/McGovern Institute for Brain Research, Tsinghua University, Beijing, 100084 China.
Yang XieDepartment of Electronic Engineering, Beijing National Research Center for Information Science and Technology and IDG/McGovern Institute for Brain Research, Tsinghua University, Beijing, 100084 China.
Taoyi WangDepartment of Physics, Tsinghua University, Beijing, 100084 China.
Dali ChengDepartment of Electronic Engineering, Beijing National Research Center for Information Science and Technology and IDG/McGovern Institute for Brain Research, Tsinghua University, Beijing, 100084 China.
Lizhu LiDepartment of Electronic Engineering, Beijing National Research Center for Information Science and Technology and IDG/McGovern Institute for Brain Research, Tsinghua University, Beijing, 100084 China.
Rongfeng LiBeijing Institute of Collaborative Innovation, Beijing, 100094 China.
Yuping DengSchool of Materials Science and Engineering, Tsinghua University, Beijing, 100084 China.
He DingBeijing Engineering Research Center of Mixed Reality and Advanced Display, School of Optics and Photonics, Beijing Institute of Technology, Beijing, 100081 China.ORCID 0000-0002-0884-3112
Guoqing LvBeijing Engineering Research Center of Mixed Reality and Advanced Display, School of Optics and Photonics, Beijing Institute of Technology, Beijing, 100081 China.
Guanlei ZhaoDepartment of Mechanical Engineering, Tsinghua University, Beijing, 100084 China.
Lei LiuDepartment of Mechanical Engineering, Tsinghua University, Beijing, 100084 China.ORCID 0000-0002-3368-5136
Guisheng ZouDepartment of Mechanical Engineering, Tsinghua University, Beijing, 100084 China.
Meixin FengKey Laboratory of Nano-devices and Applications, Suzhou Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences (CAS), Suzhou, 215123 China.ORCID 0000-0002-3206-6990
Qian SunKey Laboratory of Nano-devices and Applications, Suzhou Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences (CAS), Suzhou, 215123 China.
Lan YinSchool of Materials Science and Engineering, Tsinghua University, Beijing, 100084 China.
Xing ShengDepartment of Electronic Engineering, Beijing National Research Center for Information Science and Technology and IDG/McGovern Institute for Brain Research, Tsinghua University, Beijing, 100084 China.ORCID 0000-0002-8744-1700
McGovern Institute for Brain Research · USTsinghua University · CNBeijing Institute of Technology · CNChinese Academy of Sciences · CNBeihang University · CNSouth China Institute of Collaborative Innovation · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Physical and chemical technologies have been continuously progressing advances in neuroscience research. The development of research tools for closed-loop control and monitoring neural activities in behaving animals is highly desirable. In this paper, we introduce a wirelessly operated, miniaturized microprobe system for optical interrogation and neurochemical sensing in the deep brain. Via epitaxial liftoff and transfer printing, microscale light-emitting diodes (micro-LEDs) as light sources and poly(3,4-ethylenedioxythiophene) polystyrene sulfonate (PEDOT:PSS)-coated diamond films as electrochemical sensors are vertically assembled to form implantable optoelectrochemical probes for real-time optogenetic stimulation and dopamine detection capabilities. A customized, lightweight circuit module is employed for untethered, remote signal control, and data acquisition. After the probe is injected into the ventral tegmental area (VTA) of freely behaving mice, in vivo experiments clearly demonstrate the utilities of the multifunctional optoelectrochemical microprobe system for optogenetic interference of place preferences and detection of dopamine release. The presented options for material and device integrations provide a practical route to simultaneous optical control and electrochemical sensing of complex nervous systems.

Indexed as

BiosensorsElectrical and electronic engineering

Identifiers

PMID34567675
PMCPMC8433152
OpenAlexW3080270024

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.