An Ultra-Flexible Neural Electrode with Bioelectromechanical Compatibility and Brain Micromotion Detection

Donglei Chen, Yu Lu, Shuo Zhang, Wenqi Zhang, Shuideng Wang, Zejie Yu, Zhi Qu, Mingxing Cheng, Yiqing Yao, Deheng Wang, Zhan Yang, Lixin Dong*

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

Neural electrodes, as core components of brain-computer interfaces(BCIs), face critical challenges in achieving stable mechanical coupling with brain tissue to ensure high-quality signal acquisition. Current flexible electrodes, including semi-invasive meningeal-attached types and implantable cantilever designs, exhibit significant mechanical mismatches (elastic modulus 5-6 orders higher than brain tissue) due to material/structural limitations, leading to interfacial slippage. While thread-like implants (e.g., Neuralink's electrodes) improve compliance via elongated structures, quantitative characterization of mechano-bioelectric interactions remains unexplored. This study proposes a bioelectromechanical coupling strategy, emphasizing synchronized motion between the electrode and the brain tissue through exposed-end deformation. A 4-channel ultra-flexible electrode (40 mm in length, 164 mu m in width, and 3 mu m in thickness) is optimized using finite-element simulations and zero relative-motion criteria, achieving an equivalent stiffness of 0.023 N m-1-matching brain tissue micromotion stiffness. A nanorobotic manipulator installed inside a scanning electron microscope(SEM) with an atomic force microscope(AFM) cantilever enabled precision characterization under the simulated displacement of 25 mu m, revealing interfacial forces of 575 nN and piezoresistive sensitivities of 6.4 pA mm-1 (length) and 10.2 pA mu m-1 (displacement). The dual-functionality (signal acquisition and micromotion sensing) electrodes demonstrate breakthrough potential, establishing quantitative design standards for next-generation bioelectronic implants.

© 2025 The Author(s). Advanced Healthcare Materials published by Wiley-VCH GmbH
Original languageEnglish
Article numbere03101
Number of pages10
JournalAdvanced Healthcare Materials
DOIs
Publication statusOnline published - 28 Sept 2025

Funding

This work was supported by the National Natural Science Foundation of China (grant no. 62127810), the Research Grants Council of the Hong Kong Special Administrative Region (grants nos. CityU11213720 and CityU11217221), and City University of Hong Kong (grant nos. 9680347, 9610608, and 9680103). The authors thank the assistance of the Analysis and Testing Center, Beijing Institute of Technology for providing micro-/nano processing equipment and the SEM platform.

Research Keywords

  • bioelectromechanical compatibility
  • brain micromotion detection
  • brain-computer interface
  • neural electrode

RGC Funding Information

  • RGC-funded

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