Evidence map›Paper›PMID 40419549›Full record

ArticleMicrosystems & nanoengineering2025

A local de-insulation method and its application in neural microneedle array.

Xin Zhao, Chunrong Wei, Deguang Zhu, Xiaowei Yang, Guowei Han, Jin Ning, Qiang Gui, Rongyu Tang, Yijun Wang, Jingfeng Zhou and 2 more

Abstract read
In one paragraph

Article in Microsystems & nanoengineering, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

12 authors.

Xin Zhao *School of Information Engineering, Minzu University of China, 100081, Beijing, China.ORCID http://orcid.org/0009-0003-1390-9619
Chunrong Wei *School of Physics and Optoelectronics, Xiangtan University, 411105, Xiangtan, Hunan, China.
Deguang ZhuLaboratory of Solid State Optoelectronics Information Technology, Institute of Semiconductors, Chinese Academy of Sciences, 100083, Beijing, China.
Xiaowei YangLaboratory of Solid State Optoelectronics Information Technology, Institute of Semiconductors, Chinese Academy of Sciences, 100083, Beijing, China.
Guowei HanUniversity of Chinese Academy of Sciences, 100049, Beijing, China.
Jin NingEngineering Research Center for Semiconductor Integrated Technology, Institute of Semiconductors, Chinese Academy of Sciences, 100083, Beijing, China.
Qiang GuiLaboratory of Solid State Optoelectronics Information Technology, Institute of Semiconductors, Chinese Academy of Sciences, 100083, Beijing, China.
Rongyu TangLaboratory of Solid State Optoelectronics Information Technology, Institute of Semiconductors, Chinese Academy of Sciences, 100083, Beijing, China.
Yijun WangLaboratory of Solid State Optoelectronics Information Technology, Institute of Semiconductors, Chinese Academy of Sciences, 100083, Beijing, China.
Jingfeng ZhouState Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, 100875, Beijing, China.
Zhaoxin GengSchool of Information Engineering, Minzu University of China, 100081, Beijing, China. zxgeng@muc.edu.cn.
Weihua PeiLaboratory of Solid State Optoelectronics Information Technology, Institute of Semiconductors, Chinese Academy of Sciences, 100083, Beijing, China. peiwh@semi.ac.cn.ORCID http://orcid.org/0000-0002-1631-0199

Funding

National Natural Science Foundation of China (National Science Foundation of China) 62071447
6 · The paper itself

Abstract

Silicon-based neural microneedle arrays, such as the Utah Array, have demonstrated excellent performance in chronic recordings from the cerebral cortex. Unlike planar thin-film electrodes with recording sites arranged on the surface of a silicon film, the recording sites of microneedle arrays are located at the tips of three-dimensional needles, which significantly complicates the fabrication process required for single-neuron recordings. To address this challenge, we develop a local de-insulation method for microneedle recording electrodes that eliminates the need for etching: the microneedle tips are encapsulated in a controllable-thickness protective layer, followed by deposition of a Parylene-C insulation layer. By optimizing the elasticity of the protection material, as well as its adhesion and shape on both the protective layer and the electrode shaft, we were able to precisely control the area of the removed insulated layers, resulting in consistent tip exposure. Experimental results show that the non-uniformity of the exposed microneedle recording sites in the silicon-based neural microelectrode arrays (each has 10 × 10 array) fabricated using this method is 3.32 ± 1.02%. Furthermore, the arrays exhibited high stability and reliability in both mechanical performance and electrical characteristics. They achieved an average spike signal-to-noise ratio of 12.63 ± 6.64 during in vivo testing. This fabrication technique provides a valuable method for the development of high-performance neural microelectrode array.

Identifiers

PMID40419549
PMCPMC12106818

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Registered trials

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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.