Litcius/Paper detail

MXene-Based Microneedle Electrode for Brain–Computer Interface in Diverse Scenarios

Yuqiu Chen, Zixiao Fan, Nanlin Shi, Bingxi Cheng, Changxing Huang, Xiaokai Liu, Xiaorong Gao, Ran Liu

2025ACS Applied Materials & Interfaces8 citationsDOI

Abstract

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.

Topics & Concepts

Materials scienceBrain–computer interfaceElectrodeComputer scienceElectroencephalographyBiomedical engineeringElectrical impedanceArtifact (error)Artificial intelligenceNeuroscienceElectrical engineeringChemistryBiologyPhysical chemistryMedicineEngineeringEEG and Brain-Computer InterfacesNeuroscience and Neural EngineeringAdvanced Memory and Neural Computing