Evidence map›Paper›PMID 36363857›Full record

ArticleMicromachines2022

Double-Sided Sapphire Optrodes with Conductive Shielding Layers to Reduce Optogenetic Stimulation Artifacts.

Junyu Shen, Yanyan Xu, Zhengwen Xiao, Yuebo Liu, Honghui Liu, Fengge Wang, Chaokun Yan, Liyang Wang, Changhao Chen, Zhisheng Wu and 6 more

Open access · goldAbstract read
In one paragraph

Article in Micromachines, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.9field-weighted citation impact, top 30% 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

2 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
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 3 institutions in 3 countries.

Junyu ShenSchool of Electronics and Information Technology, Sun Yat-sen University, Guangzhou 510006, China.
Yanyan XuSchool of Electronics and Information Technology, Sun Yat-sen University, Guangzhou 510006, China.
Zhengwen XiaoSchool of Electronics and Information Technology, Sun Yat-sen University, Guangzhou 510006, China.
Yuebo LiuSchool of Electronics and Information Technology, Sun Yat-sen University, Guangzhou 510006, China.
Honghui LiuSchool of Electronics and Information Technology, Sun Yat-sen University, Guangzhou 510006, China.
Fengge WangSchool of Electronics and Information Technology, Sun Yat-sen University, Guangzhou 510006, China.
Chaokun YanSchool of Electronics and Information Technology, Sun Yat-sen University, Guangzhou 510006, China.
Liyang WangState Key Laboratory of Analog and Mixed-Signal VLSI, Institute of Microelectronics, University of Macau, Macau 999078, China.ORCID 0000-0003-1067-1927
Changhao ChenState Key Laboratory of Analog and Mixed-Signal VLSI, Institute of Microelectronics, University of Macau, Macau 999078, China.
Zhisheng WuSchool of Electronics and Information Technology, Sun Yat-sen University, Guangzhou 510006, China.
Yang LiuSchool of Electronics and Information Technology, Sun Yat-sen University, Guangzhou 510006, China.
Peng Un MakDepartment of Electrical and Computer Engineering, Faculty of Science and Technology, University of Macau, Macau 999078, China.ORCID 0000-0003-3813-5800
Mang I VaiState Key Laboratory of Analog and Mixed-Signal VLSI, Institute of Microelectronics, University of Macau, Macau 999078, China.
Sio Hang PunState Key Laboratory of Analog and Mixed-Signal VLSI, Institute of Microelectronics, University of Macau, Macau 999078, China.
Tim C LeiDepartment of Electrical Engineering, University of Colorado, Denver, CO 80204, USA.
Baijun ZhangSchool of Electronics and Information Technology, Sun Yat-sen University, Guangzhou 510006, China.
Sun Yat-sen University · CNUniversity of Macau · MOUniversity of Colorado Denver · US

Funding

Science & Technology Plan of Guangdong Province, China 2019B010132003, 2019B010132001the joint funding of the Nature Science Foundation of China (NSFC) & the Macao Science and Technology Development Fund (FDCT) of China 62061160368 & 0022/2020/AFJthe National Key R&D Program of China 2020YFB1313502the National Key Research and Development Program 2016YFB0400105 and 2017YFB0403001the Science and Technology Development Fund, Macau SAR 088/2016/A2, 0144/2019/A3, 0022/2020/AFJ, SKL-AMSV (FDCT-funded), SKL-AMSV-ADDITIONAL FUND, SKL-AMSV(UM)-2020-2022the University of Macau MYRG2018-00146-AMSV, MYRG2019-00056-AMSVthe Zhuhai Key Technology Laboratory of Wide Bandgap Semiconductor Power Electronics, Sun Yat-sen University, China 20167612042080001
6 · The paper itself

Abstract

Optrodes, which are single shaft neural probes integrated with microelectrodes and optical light sources, offer a remarkable opportunity to simultaneously record and modulate neural activities using light within an animal's brain; however, a common problem with optrodes is that stimulation artifacts can be observed in the neural recordings of microelectrodes when the light source on the optrode is activated. These stimulation artifacts are undesirable contaminants, and they cause interpretation complexity when analyzing the recorded neural activities. In this paper, we tried to mitigate the effects of the stimulation artifacts by developing a low-noise, double-sided optrode integrated with multiple Electromagnetic Shielding (EMS) layers. The LED and microelectrodes were constructed separately on the top epitaxial and bottom substrate layers, and EMS layers were used to separate the microelectrodes and LED to reduce signal cross-talks. Compared with conventional single-sided designs, in which the LED and microelectrodes are constructed on the same side, our results indicate that double-sided optrodes can significantly reduce the presence of stimulation artifacts. In addition, the presence of stimulation artifacts can further be reduced by decreasing the voltage difference and increasing the rise/fall time of the driving LED pulsed voltage. With all these strategies, the presence of stimulation artifacts was significantly reduced by ~76%. As well as stimulation suppression, the sapphire substrate also provided strong mechanical stiffness and support to the optrodes, as well as improved electronic stability, thus making the double-sided sapphire optrodes highly suitable for optogenetic neuroscience research on animal models.

Indexed as

double-sided optrodeelectromagnetic shielding layersmicroelectrodessapphire substratestimulation artifacts

Identifiers

PMID36363857
PMCPMC9695949
OpenAlexW4308719038

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.