Evidence map›Paper›PMID 30979081›Full record

ArticleMicromachines2019

Fabrication and Characterization of Micro-Nano Electrodes for Implantable BCI.

Ye Xi, Bowen Ji, Zhejun Guo, Wen Li, Jingquan Liu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Micromachines, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

5 authors.

Ye XiNational Key Laboratory of Science and Technology on Micro/Nano Fabrication Laboratory, Department of Micro/Nano-electronics, Shanghai Jiao Tong University, Shanghai 200240, China. yesiki@sjtu.edu.cn.
Bowen JiNational Key Laboratory of Science and Technology on Micro/Nano Fabrication Laboratory, Department of Micro/Nano-electronics, Shanghai Jiao Tong University, Shanghai 200240, China. jibowen2015@sjtu.edu.cn.
Zhejun GuoNational Key Laboratory of Science and Technology on Micro/Nano Fabrication Laboratory, Department of Micro/Nano-electronics, Shanghai Jiao Tong University, Shanghai 200240, China. gzj98762@sjtu.edu.cn.
Wen LiDepartment of Electrical and Computer Engineering, College of Engineering, Michigan State University, East Lansing, MI 48823, USA. wenli@egr.msu.edu.
Jingquan LiuNational Key Laboratory of Science and Technology on Micro/Nano Fabrication Laboratory, Department of Micro/Nano-electronics, Shanghai Jiao Tong University, Shanghai 200240, China. jqliu@sjtu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Signal recording and stimulation with high spatial and temporal resolution are of increasing interest with the development of implantable brain-computer interfaces (BCIs). However, implantable BCI technology still faces challenges in the biocompatibility and long-term stability of devices after implantation. Due to the cone structure, needle electrodes have advantages in the biocompatibility and stability as nerve recording electrodes. This paper develops the fabrication of Ag needle micro/nano electrodes with a laser-assisted pulling method and modifies the electrode surface by electrochemical oxidation. A significant impedance reduction of the modified Ag/AgCl electrodes compared to the Ag electrodes is demonstrated by the electrochemical impedance spectrum (EIS). Furthermore, the stability of modified Ag/AgCl electrodes is confirmed by cyclic voltammogram (CV) scanning. These findings suggest that these micro/nano electrodes have a great application prospect in neural interfaces.

Indexed as

electrochemistryimplantable BCImicro/nano electrodemodified electrode

Identifiers

PMID30979081
PMCPMC6523908

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.