Evidence map›Paper›PMID 36403238›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2023

Multimodal Electrocorticogram Active Electrode Array Based on Zinc Oxide-Thin Film Transistors.

Fan Zhang, Luxi Zhang, Jie Xia, Wanpeng Zhao, Shurong Dong, Zhi Ye, Gang Pan, Jikui Luo, Shaomin Zhang

Open access · goldAbstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.2field-weighted citation impact, top 23% 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

9 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Review
  7. A Soft, High-Density Neuroelectronic Array.Npj flexible electronics · 2023
    Article
  8. Review
  9. 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

9 authors at 4 institutions in 3 countries.

Fan ZhangKey Laboratory of Biomedical Engineering of Ministry of Education, Qiushi Academy for Advanced Studies, Zhejiang Provincial Key Laboratory of Cardio-Cerebral Vascular Detection Technology and Medicinal Effectiveness Appraisal, Zhejiang University, 38 Zheda Road, Hangzhou, 310027, China.ORCID 0000-0002-4480-2158
Luxi ZhangCollege of Information Science and Electronic Engineering, Frontier Center of Brain Science and Brain-machine Integration, Cancer Center, Zhejiang University, 38 Zheda Road, Hangzhou, 310027, China.
Jie XiaCollege of Information Science and Electronic Engineering, Zhejiang University, 38 Zheda Road, Hangzhou, 310027, China.
Wanpeng ZhaoCollege of Information Science and Electronic Engineering, Zhejiang University, 38 Zheda Road, Hangzhou, 310027, China.
Shurong DongCollege of Information Science and Electronic Engineering, Frontier Center of Brain Science and Brain-machine Integration, Cancer Center, Zhejiang University, 38 Zheda Road, Hangzhou, 310027, China.
Zhi YeCollege of Information Science and Electronic Engineering, Zhejiang University, 38 Zheda Road, Hangzhou, 310027, China.
Gang PanCollege of Computer Science and Technology, Zhejiang University, 38 Zheda Road, Hangzhou, 310027, China.
Jikui LuoCollege of Information Science and Electronic Engineering, Zhejiang University, 38 Zheda Road, Hangzhou, 310027, China.
Shaomin ZhangKey Laboratory of Biomedical Engineering of Ministry of Education, Qiushi Academy for Advanced Studies, Zhejiang Provincial Key Laboratory of Cardio-Cerebral Vascular Detection Technology and Medicinal Effectiveness Appraisal, Zhejiang University, 38 Zheda Road, Hangzhou, 310027, China.ORCID 0000-0001-6311-5946
Zhejiang University · CNAllen Institute for Brain Science · USMinistry of Education · NZZhejiang University of Science and Technology · CN

Funding

China Brain Project 2021ZD0200401Zhejiang Province Key Research & Development programs 2021C03003Zhejiang Province Key Research & Development programs 2021C03062Zhejiang Province Key Research & Development programs 2021C03108
6 · The paper itself

Abstract

Active electrocorticogram (ECoG) electrodes can amplify weak electrophysiological signals and improve anti-interference ability; however, traditional active electrodes are opaque and cannot realize photoelectric collaborative observation. In this study, an active and fully transparent ECoG array based on zinc oxide thin-film transistors (ZnO TFTs) is developed as a local neural signal amplifier for electrophysiological monitoring. The transparency of the proposed ECoG array is up to 85%, which is superior to that of the previously reported active electrode arrays. Various electrical characterizations have demonstrated its ability to record electrophysiological signals with a higher signal-to-noise ratio of 19.9 dB compared to the Au grid (13.2 dB). The high transparency of the ZnO-TFT electrode array allows the concurrent collection of high-quality electrophysiological signals (32.2 dB) under direct optical stimulation of the optogenetic mice brain. The ECoG array can also work under 7-Tesla magnetic resonance imaging to record local brain signals without affecting brain tissue imaging. As the most transparent active ECoG array to date, it provides a powerful multimodal tool for brain observation, including recording brain activity under synchronized optical modulation and 7-Tesla magnetic resonance imaging.

Indexed as

Zinc OxideAnimalsBrainBrain MappingElectrocorticographyElectrodesMiceZinc Oxideelectrocorticogramneural recordingoptogeneticthin-film-transistorstransparent electrodes

Identifiers

PMID36403238
PMCPMC9839861
OpenAlexW4309436490

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.