ArticleScience advances2026
Highly stretchable, hair-compatible multichannel neural interface with time-stable hydrogel for high-fidelity long-term EEG sensing.
Ju-Chun Hsieh, Mengmeng Yao, Hussein Alawieh, Victoria Koptelova, Satyam Kumar, Kai Wing Kevin Tang, Wenliang Wang, Jinmo Jeong, Hong Ding, Zoya Ahmad and 9 more
Abstract read
In one paragraphArticle in Science advances, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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 registryThe 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 literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
19 authors.
Ju-Chun HsiehDepartment of Biomedical Engineering, Cockrell School of Engineering, The University of Texas at Austin, Austin, TX 78712, USA.ORCID 0000-0001-5598-5917 Mengmeng YaoDepartment of Biomedical Engineering, Cockrell School of Engineering, The University of Texas at Austin, Austin, TX 78712, USA.ORCID 0000-0003-2257-4526 Hussein AlawiehChandra Department of Electrical and Computer Engineering, Cockrell School of Engineering, The University of Texas at Austin, Austin, TX 78712, USA.ORCID 0000-0002-2888-4958 Victoria KoptelovaDepartment of Biomedical Engineering, Cockrell School of Engineering, The University of Texas at Austin, Austin, TX 78712, USA.ORCID 0009-0003-9913-2264 Satyam KumarChandra Department of Electrical and Computer Engineering, Cockrell School of Engineering, The University of Texas at Austin, Austin, TX 78712, USA.ORCID 0000-0003-4817-1768 Kai Wing Kevin TangDepartment of Biomedical Engineering, Cockrell School of Engineering, The University of Texas at Austin, Austin, TX 78712, USA.ORCID 0000-0003-0671-8702 Wenliang WangDepartment of Biomedical Engineering, Cockrell School of Engineering, The University of Texas at Austin, Austin, TX 78712, USA.ORCID 0000-0003-0575-8139 Jinmo JeongDepartment of Biomedical Engineering, Cockrell School of Engineering, The University of Texas at Austin, Austin, TX 78712, USA.ORCID 0000-0002-6088-2856 Hong DingDepartment of Biomedical Engineering, Cockrell School of Engineering, The University of Texas at Austin, Austin, TX 78712, USA.ORCID 0000-0001-6358-1525 Zoya AhmadDepartment of Biomedical Engineering, Cockrell School of Engineering, The University of Texas at Austin, Austin, TX 78712, USA.ORCID 0009-0000-7277-4812 Derek WangDepartment of Biomedical Engineering, Cockrell School of Engineering, The University of Texas at Austin, Austin, TX 78712, USA.ORCID 0009-0000-2204-976X Tlali EngravDepartment of Biomedical Engineering, Cockrell School of Engineering, The University of Texas at Austin, Austin, TX 78712, USA.
Reyna WangDepartment of Biomedical Engineering, Cockrell School of Engineering, The University of Texas at Austin, Austin, TX 78712, USA.ORCID 0009-0009-4685-4726 Ashwin GuptaDepartment of Biomedical Engineering, Cockrell School of Engineering, The University of Texas at Austin, Austin, TX 78712, USA.
Weilong HeDepartment of Biomedical Engineering, Cockrell School of Engineering, The University of Texas at Austin, Austin, TX 78712, USA.
William D Moscoso-BarreraDepartment of Biomedical Engineering, Cockrell School of Engineering, The University of Texas at Austin, Austin, TX 78712, USA.ORCID 0000-0002-6779-7056 Ayden GrimesDepartment of Biomedical Engineering, Cockrell School of Engineering, The University of Texas at Austin, Austin, TX 78712, USA.ORCID 0009-0004-4762-1338 José Del R MillánDepartment of Biomedical Engineering, Cockrell School of Engineering, The University of Texas at Austin, Austin, TX 78712, USA.ORCID 0000-0001-5819-1522 Huiliang WangDepartment of Biomedical Engineering, Cockrell School of Engineering, The University of Texas at Austin, Austin, TX 78712, USA.ORCID 0000-0003-4063-270X Funding
Non-Invasive and Non-Viral Sono-OptogeneticsR35GM147408 · NIGMS · UNIVERSITY OF TEXAS AT AUSTIN · PI Huiliang Wang · 2022 to 2026
$2.0MNIGMS NIH HHS R35 GM147408
6 · The paper itselfAbstract
Reliable brain-computer interfaces (BCIs) require electroencephalography (EEG) sensors that maintain conformal, low-impedance contact through hair, motion, and repeated use. Here, we present MindStretcH, a stretchable and hair-compatible EEG platform integrating a kirigami-patterned elastomeric mesh, deformable eutectic gallium-indium (EGaIn) interconnects, and detachable hydrogel-based conical electrodes. The system adapts to variations in head geometry, preserves electrical performance under substantial mechanical deformation, and maintains stable electrode-scalp contact over prolonged use. Longitudinal motor-imagery recordings and repeated online BCI experiments showed consistent task-related EEG activity without measurable deterioration in recording quality. These results establish MindStretcH as a reusable platform for long-term EEG monitoring and BCI applications in laboratory, clinical, and home settings.
Indexed as
Brain-Computer InterfacesElectroencephalographyHairHydrogelsElectrodesHumansHydrogels
Identifiers
PMID42826206
PMCPMC13632756
What OpenQuestion holds
Textmetadata
Read underepoch 390