MXene-Based Microneedle Electrode for Brain–Computer Interface in Diverse Scenarios
In this study, we introduce a brain-computer interface (BCI) framework incorporating MXene microneedle EEG electrodes, tailored for versatile deployment. The dry electrodes, configured as 1 mm<sup>2</sup> microneedles, underwent meticulous processing to establish a cohesive integration with the MXene conductive material. The microneedle architecture facilitates epidermal penetration, yielding low contact impedance, enabling the recording of spontaneous EEG and induced brain activity, and ensuring high precision in steady-state visual evoked potential (SSVEP) speller. Simultaneously, the microneedle electrode demonstrates commendable biological compatibility and superior nuclear magnetic resonance compatibility. It exhibits minimal artifact generation and manifests no heating-related adaptations in nuclear magnetic environments. The inherent microneedle electrode structure endows it with robust anti-interference capabilities. In vibrational environments, the SSVEP text input accuracy of the microneedle electrode remains comparable to that of gel electrodes, maintaining consistent impedance and delivering high-fidelity EEG acquisition during real-motion scenarios. The microneedle electrode devised in this study serves as a reliable signal acquisition tool, thereby advancing the development of BCI systems tailored for practical usage scenarios.
Authors
- Yuqiu Chen (ORCID: https://orcid.org/0000-0003-0706-160X)
- Xiaorong Gao (ORCID: https://orcid.org/0009-0007-4475-5367)
- Nanlin Shi (ORCID: https://orcid.org/0000-0002-2516-164X)
- Buwen Cheng (ORCID: https://orcid.org/0000-0002-6547-1458)
- Ran Liu (ORCID: https://orcid.org/0000-0002-6759-5681)
- Xiaokai Liu (ORCID: https://orcid.org/0000-0002-4174-2372)
- Changxing Huang
- Zixiao Fan (ORCID: https://orcid.org/0009-0007-3464-7434)
Institutions
- Tsinghua–Berkeley Shenzhen Institute (CN)
- Tsinghua University (CN)
Publication Details
- Journal
- ACS Applied Materials & Interfaces
- Published
- 2025-06-02
- DOI
- https://doi.org/10.1021/acsami.5c03798
- Citations
- 5
- Primary Topic
- EEG and Brain-Computer Interfaces
- Type
- article
- Field-Weighted Citation Impact
- 7.16
Funders
- National Natural Science Foundation of China
- Beijing Municipal Administration of Hospitals Clinical Medicine Development of Special Funding Support
- Beijing Municipal Science and Technology Commission
- Beijing Municipal Natural Science Foundation
- National Key Research and Development Program of China