Highly stretchable, hair-compatible multichannel neural interface with time-stable hydrogel for high-fidelity long-term EEG sensing.

Authors

Ju-Chun Hsieh, Mengmeng Yao, Hussein Alawieh, Victoria Koptelova, Satyam Kumar, Kai Wing Kevin Tang, Wenliang Wang, Jinmo Jeong, Hong Ding, Zoya Ahmad, Derek Wang, Tlali Engrav, Reyna Wang, Ashwin Gupta, Weilong He, William D Moscoso-Barrera, Ayden Grimes, José Del R Millán, Huiliang Wang

Published in

Science advances. Volume 12. Issue 40. Pages eaee1540. Oct 02, 2026. Epub Oct 02, 2026.

Abstract

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.

PMID:
42826206
Bibliographic data and abstract were imported from PubMed on 03 Oct 2026.

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