Liquid Metal-Based Electrode Array for Neural Signal Recording

Author:

Zhang Xilong12,Liu Bingxin12,Gao Jingru13,Lang Yiran4ORCID,Lv Xiaodong4,Deng Zhongshan12,Gui Lin12ORCID,Liu Jing125,Tang Rongyu6ORCID,Li Lei12ORCID

Affiliation:

1. Key Laboratory of Cryogenics, Technical Institute of Physics and Chemistry, Beijing 100190, China

2. School of Future Technology, University of Chinese Academy of Sciences, Beijing 100049, China

3. School of Advanced Engineering, University of Science and Technology Beijing, Beijing 100083, China

4. School of Life Science, Beijing Institute of Technology, Beijing 100081, China

5. Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing 100084, China

6. The State Key Laboratory on Integrated Optoelectronics, Institute of Semiconductors, Chinese Academy of Sciences, Beijing 100083, China

Abstract

Neural electrodes are core devices for research in neuroscience, neurological diseases, and neural–machine interfacing. They build a bridge between the cerebral nervous system and electronic devices. Most of the neural electrodes in use are based on rigid materials that differ significantly from biological neural tissue in flexibility and tensile properties. In this study, a liquid-metal (LM) -based 20-channel neural electrode array with a platinum metal (Pt) encapsulation material was developed by microfabrication technology. The in vitro experiments demonstrated that the electrode has stable electrical properties and excellent mechanical properties such as flexibility and bending, which allows the electrode to form conformal contact with the skull. The in vivo experiments also recorded electroencephalographic signals using the LM-based electrode from a rat under low-flow or deep anesthesia, including the auditory-evoked potentials triggered by sound stimulation. The auditory-activated cortical area was analyzed using source localization technique. These results indicate that this 20-channel LM-based neural electrode array satisfies the demands of brain signal acquisition and provides high-quality-electroencephalogram (EEG) signals that support source localization analysis.

Funder

Foundation of Director of Technical Institute of Physics and Chemistry, Chinese Academy of Sciences

Publisher

MDPI AG

Subject

Bioengineering

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