Evidence map›Paper›PMID 41017235›Full record

ArticleAdvanced healthcare materials2026

An Ultra-Flexible Neural Electrode with Bioelectromechanical Compatibility and Brain Micromotion Detection.

Donglei Chen, Yu Lu, Shuo Zhang, Wenqi Zhang, Zejie Yu, Shuideng Wang, Zhi Qu, Mingxing Cheng, Yiqing Yao, Deheng Wang and 2 more

Abstract read
In one paragraph

Article in Advanced healthcare materials, 2026. 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
–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

2 citing papers in PubMed.

  1. Article
  2. 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.

Donglei ChenDepartment of Biomedical Engineering, City University of Hong Kong, Hong Kong, 999077, China.ORCID 0009-0000-3113-8967
Yu LuSchool of Integrative Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China.
Shuo ZhangSchool of Mechanical and Electrical Engineering, Soochow University, Suzhou, 215137, China.
Wenqi ZhangDepartment of Biomedical Engineering, City University of Hong Kong, Hong Kong, 999077, China.
Zejie YuDepartment of Biomedical Engineering, City University of Hong Kong, Hong Kong, 999077, China.
Shuideng WangDepartment of Biomedical Engineering, City University of Hong Kong, Hong Kong, 999077, China.
Zhi QuDepartment of Biomedical Engineering, City University of Hong Kong, Hong Kong, 999077, China.
Mingxing ChengDepartment of Biomedical Engineering, City University of Hong Kong, Hong Kong, 999077, China.
Yiqing YaoDepartment of Biomedical Engineering, City University of Hong Kong, Hong Kong, 999077, China.
Deheng WangSchool of Integrative Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China.
Zhan YangSchool of Mechanical and Electrical Engineering, Soochow University, Suzhou, 215137, China.
Lixin DongDepartment of Biomedical Engineering, City University of Hong Kong, Hong Kong, 999077, China.ORCID 0000-0002-8816-4944

Funding

City University of Hong Kong 9610608City University of Hong Kong 9680103City University of Hong Kong 9680347National Natural Science Foundation of China 62127810Research Grants Council of the Hong Kong Special Administrative Region CityU11213720Research Grants Council of the Hong Kong Special Administrative Region CityU11217221
6 · The paper itself

Abstract

Neural electrodes, as core components of brain-computer interfaces(BCIs), face critical challenges in achieving stable mechanical coupling with brain tissue to ensure high-quality signal acquisition. Current flexible electrodes, including semi-invasive meningeal-attached types and implantable cantilever designs, exhibit significant mechanical mismatches (elastic modulus 5-6 orders higher than brain tissue) due to material/structural limitations, leading to interfacial slippage. While thread-like implants (e.g., Neuralink's electrodes) improve compliance via elongated structures, quantitative characterization of mechano-bioelectric interactions remains unexplored. This study proposes a bioelectromechanical coupling strategy, emphasizing synchronized motion between the electrode and the brain tissue through exposed-end deformation. A 4-channel ultra-flexible electrode (40 mm in length, 164 µm in width, and 3 µm in thickness) is optimized using finite-element simulations and zero relative-motion criteria, achieving an equivalent stiffness of 0.023 N m

Indexed as

BrainBrain-Computer InterfacesElectrodes, ImplantedAnimalsElectrodesFinite Element AnalysisHumansbioelectromechanical compatibilitybrain‐computer interfacebrain micromotion detectionneural electrode

Identifiers

PMID41017235
PMCPMC12908205

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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.