Evidence map›Paper›PMID 41794830›Full record

ArticleNature communications2026

Conformal and adhesive gel for stable electrophysiology on hairy animals without shaving.

Leyi Yang, Miaoxi Chen, Jiongyang Qi, Wenya Hu, Shiyu Wang, Yujie Wu, Dekui Song, Dajun Xing, Nan Liu

Abstract read
In one paragraph

Article in Nature communications, 2026. 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. 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.

Leyi YangBeijing Key Laboratory of Energy Conversion and Storage Materials, College of Chemistry, Beijing Normal University, Beijing, China.
Miaoxi ChenState Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China.
Jiongyang QiBeijing Key Laboratory of Energy Conversion and Storage Materials, College of Chemistry, Beijing Normal University, Beijing, China.
Wenya HuBeijing Key Laboratory of Energy Conversion and Storage Materials, College of Chemistry, Beijing Normal University, Beijing, China.
Shiyu WangBeijing Key Laboratory of Energy Conversion and Storage Materials, College of Chemistry, Beijing Normal University, Beijing, China.
Yujie WuState Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China.ORCID 0000-0003-3973-4231
Dekui SongBeijing Key Laboratory of Energy Conversion and Storage Materials, College of Chemistry, Beijing Normal University, Beijing, China.
Dajun XingState Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China. dajun_xing@bnu.edu.cn.ORCID 0000-0002-6953-1198
Nan LiuBeijing Key Laboratory of Energy Conversion and Storage Materials, College of Chemistry, Beijing Normal University, Beijing, China. nanliu@bnu.edu.cn.ORCID 0000-0002-1793-7372

Funding

Fundamental Research Funds for the Central UniversitiesNational Key R&D Program of ChinaNational Natural Science Foundation of ChinaNatural Science Foundation of Beijing Municipality (Beijing Natural Science Foundation) JQ23002
6 · The paper itself

Abstract

Non-invasive collection of weak electroneurographic signals is crucial for cognitive neuroscience. However, animal scalps are often covered by dense hair, which presents a substantial barrier in the scalp-electrode interface for accurate electrophysiological acquisition. Although scalp hair removal is common practice in clinical settings, it has detrimental effects on the test subjects and is infeasible in many non-clinical scenarios. Here we report a hair-adaptable and adhesion-tunable (HAAT) scalp-electrode interface that can accurately acquire electroneurographic signals from hairy skins of animal and human. By synthetically integrating dynamic covalent bonds and ionic conduction channels in the copolymer poly(sodium thioctate-co-sulfobetaine methacrylate), we implement the key functionalities of the HAAT interface including penetration of dense hair layers, strong conformal skin-electrode adhesion, on-demand painless detachment, and sensitive neuroelectric coupling. We achieve stable and precise electroneurographic signals acquisition from human, monkey and mouse's scalps with various hair densities. The accurate event-related potential monitored during monkey vision-attention tasks facilitates the study of monkey brain activity. These results demonstrate the HAAT interface as an outstanding platform for conducting non-invasive research on animal cognition.

Indexed as

ElectrophysiologyHairScalpAdhesivesAnimalsElectrodesElectroencephalographyElectrophysiological PhenomenaEvoked PotentialsFemaleGelsHumansMaleMiceAdhesivesGels

Identifiers

PMID41794830
PMCPMC12967754

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.