Evidence map›Paper›PMID 42032320›Full record

Reviewnpj biomedical innovations2025

Flexible brain electronic sensors advance wearable brain-computer interface.

Jia Li, Guo Chen, Gang Li, Lujia Xiao, Ruonan Jia, Kun Zhang

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in npj biomedical innovations, 2025. 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. Full-Stack Architectures for Intelligent Brain-Computer Interfaces.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  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

6 authors.

Jia Li *Department of Orthopedics and Central Laboratory, Sichuan Academy of Medical Sciences & Sichuan People's Hospital, School of Medicine, University of Electronic Science and Technology. No. 32, West Second Section, First Ring Road, Chengdu, Sichuan, China.
Guo Chen *Department of Orthopedics and Central Laboratory, Sichuan Academy of Medical Sciences & Sichuan People's Hospital, School of Medicine, University of Electronic Science and Technology. No. 32, West Second Section, First Ring Road, Chengdu, Sichuan, China.
Gang LiThe Medical Equipment Department, Sichuan Academy of Medical Sciences & Sichuan People's Hospital, School of Medicine, University of Electronic Science and Technology. No. 32, West Second Section, First Ring Road, Chengdu, Sichuan, China.
Lujia XiaoDepartment of Orthopedics and Central Laboratory, Sichuan Academy of Medical Sciences & Sichuan People's Hospital, School of Medicine, University of Electronic Science and Technology. No. 32, West Second Section, First Ring Road, Chengdu, Sichuan, China.
Ruonan JiaDepartment of Orthopedics and Central Laboratory, Sichuan Academy of Medical Sciences & Sichuan People's Hospital, School of Medicine, University of Electronic Science and Technology. No. 32, West Second Section, First Ring Road, Chengdu, Sichuan, China. jiaruonan19@cdut.edu.cn.
Kun ZhangDepartment of Orthopedics and Central Laboratory, Sichuan Academy of Medical Sciences & Sichuan People's Hospital, School of Medicine, University of Electronic Science and Technology. No. 32, West Second Section, First Ring Road, Chengdu, Sichuan, China. zhang1986kun@126.com.

Funding

National Natural Science Foundation of China 82022033Sichuan Provincial Science and Technology Support Program 2024NSFJQ0048
6 · The paper itself

Abstract

The emerging field of wearable brain-computer interface (BCI) strives to achieve both high spatial and temporal resolution. The performance of flexible brain electronic sensor (FBES) has been validated across a variety of experimental settings, demonstrating their potential for real-world applications. As a result, FBES are increasingly shaping the landscape of health monitoring and disease treatment by enabling non-invasive, precise neural data acquisition. This review summarizes recent studies recent progress in wearable brain computer interface technology and FBES development, while provides insights into future clinical application of FBES within BCI systems. Additionally, we propose strategic directions to bridge the gap between laboratory research and practical healthcare implementations.

Identifiers

PMID42032320
PMCPMC13055064

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.