TY - JOUR
T1 - An Ultra-Flexible Neural Electrode with Bioelectromechanical Compatibility and Brain Micromotion Detection
AU - Chen, Donglei
AU - Lu, Yu
AU - Zhang, Shuo
AU - Zhang, Wenqi
AU - Wang, Shuideng
AU - Yu, Zejie
AU - Qu, Zhi
AU - Cheng, Mingxing
AU - Yao, Yiqing
AU - Wang, Deheng
AU - Yang, Zhan
AU - Dong, Lixin
PY - 2025/9/28
Y1 - 2025/9/28
N2 - 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
AB - 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
KW - bioelectromechanical compatibility
KW - brain micromotion detection
KW - brain-computer interface
KW - neural electrode
UR - https://www.webofscience.com/wos/woscc/full-record/WOS:001582471100001
U2 - 10.1002/adhm.202503101
DO - 10.1002/adhm.202503101
M3 - RGC 21 - Publication in refereed journal
SN - 2192-2640
JO - Advanced Healthcare Materials
JF - Advanced Healthcare Materials
M1 - e03101
ER -