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Printed Stretchable Liquid Metal Electrode Arrays for In Vivo Neural Recording
Author(s) -
Dong Ruihua,
Wang Lulu,
Hang Chen,
Chen Zhen,
Liu Xiaoyan,
Zhong Leni,
Qi Jie,
Huang Yuqing,
Liu Shaoqin,
Wang Liping,
Lu Yi,
Jiang Xingyu
Publication year - 2021
Publication title -
small
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.785
H-Index - 236
eISSN - 1613-6829
pISSN - 1613-6810
DOI - 10.1002/smll.202006612
Subject(s) - interfacing , materials science , polydimethylsiloxane , fabrication , electrode , nanotechnology , electrode array , liquid metal , biomedical engineering , computer science , computer hardware , composite material , chemistry , medicine , alternative medicine , pathology
The adoption of neural interfacing into neurological diagnosis is severely hampered by the complex, costly, and error‐prone manufacturing methods, requiring new fabrication processes and materials for flexible neural interfacing. Here a strategy for fabricating highly stretchable neural electrode arrays based on screen printing of liquid metal conductors onto polydimethylsiloxane substrates is presented. The screen‐printed electrode arrays show a resolution of 50 µm, which is ideally applicable to neural interfaces. The integration of liquid metal–polymer conductor enables the neural electrode arrays to retain stable electrical properties and compliant mechanical performance under a significant (≈108%) strain. Taking advantage of its high biocompatibility, liquid metal electrode arrays exhibit excellent performance for neurite growth and long‐term implantation. The stretchable electrode arrays can spontaneously conformally come in touch with the brain surface, and high‐throughput electrocorticogram signals are recorded. Based on stretchable electrode arrays, real‐time monitoring of epileptiform activities can be provided at different states of seizure. The method reported here offers a new fabrication strategy to manufacture stretchable neural electrodes, with additional potential utility in diagnostic brain–machine interfaces.