Injectable eutectogel for high-quality scalp electroencephalogram monitoring
Hydrogels emerge as a promising electrode material for scalp electroencephalogram monitoring, which stands as a pivotal technique in neuroscience, enabling real-time monitoring of brain activity. However, conventional hydrogel-enabled electrodes suffer from low scalp compliance, high scalp-electrode impedance, and inferior interfacial stability. Here, we propose an injectable eutectogel-enabled electrode for high-quality, long-term scalp electroencephalogram monitoring. This gelatin-based eutectogel exhibits temperature-controlled reversible phase transitions, enabling rapid in-situ gelation on the scalp and forming a robust self-adhesive interface. It demonstrates exceptional mechanical durability (1000 cycles at 100% strain), robust adhesion (0.7 N cm−1 on human epidermis and 1.7 N cm−1 on Ag/AgCl electrode), and outstanding anti-drying properties (negligible water loss after 7 days). Additionally, the eutectogel shows superior healing properties, antibacterial properties, and recyclability. Furthermore, it exhibits remarkably low scalp-electrode contact impedance (<20 kΩ at 16 Hz). The eutectogel is injected on the human scalp with dense hair for high-fidelity electroencephalogram recording, enabling long-term monitoring. Its practical applications include monitoring visual evoked potentials, steady-state visual evoked potentials, somatosensory evoked potentials, slow vertex response, auditory brainstem response, multi-channel cognitive electroencephalogram during various daily activities, and event-related potentials P300 signals. The eutectogel-enabled electrode provides a versatile and reliable solution for long-term electroencephalogram monitoring in diverse clinical and research settings.
Authors
- Y. Wang
- Wenqing Yan
- Xinyuan Ye
- Yuli Wang (ORCID: https://orcid.org/0009-0002-2095-2909)
- Junhong Yi (ORCID: https://orcid.org/0000-0003-1753-2567)
- Mei-Mei Zheng (ORCID: https://orcid.org/0000-0002-3493-7139)
- Z. G. Wang
- Pengcheng Zhou (ORCID: https://orcid.org/0000-0003-1237-3931)
- Yujie Zhang (ORCID: https://orcid.org/0000-0003-1994-6552)
- Hossam Haick
- Jiawei Yang
- Shihong Lin
- Qingyuan Sun
- Zongman Zhang
- Zichong Ji
- Jian Luo
- Leqi Li
Institutions
- Technion – Israel Institute of Technology (IL)
- Guangdong Technion-Israel Institute of Technology (CN)
Publication Details
- Journal
- npj Flexible Electronics
- Published
- 2025-12-22
- DOI
- https://doi.org/10.1038/s41528-025-00516-2
- Primary Topic
- Neuroscience and Neural Engineering
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China