Abstract

Flexible multichannel electrode arrays (fMEAs) with multiple filaments can be flexibly implanted in various patterns. It is necessary to develop a method for implanting the fMEA in different locations and at various depths based on the recording demands. This study proposed a strategy for reducing the microelectrode volume with integrated packaging. An implantation system was developed specifically for semiautomatic distributed implantation. The feasibility and convenience of the fMEA and implantation platform were verified in rodents. The acute and chronic recording results provied the effectiveness of the packaging and implantation methods. These methods could provide a novel strategy for developing fMEAs with more filaments and recording sites to measure functional interactions across multiple brain regions.

Details

Title
Distributed implantation of a flexible microelectrode array for neural recording
Author
Wei Chunrong 1   VIAFID ORCID Logo  ; Wang, Yang 2 ; Pei Weihua 3 ; Han Xinyong 4 ; Lin Longnian 5 ; Liu Zhiduo 3 ; Gege, Ming 1 ; Chen Ruru 6 ; Wu, Pingping 7 ; Yang, Xiaowei 8 ; Li, Zheng 1 ; Wang, Yijun 9 

1  Chinese Academy of Sciences, State Key Laboratory of Integrated Optoelectronics, Institute of Semiconductors, Beijing, China (GRID:grid.9227.e) (ISNI:0000000119573309); University of Chinese Academy of Sciences, Beijing, China (GRID:grid.410726.6) (ISNI:0000 0004 1797 8419); University of Chinese Academy of Sciences, School of Future Technologies, Beijing, China (GRID:grid.410726.6) (ISNI:0000 0004 1797 8419) 
2  Chinese Academy of Sciences, State Key Laboratory of Integrated Optoelectronics, Institute of Semiconductors, Beijing, China (GRID:grid.9227.e) (ISNI:0000000119573309); University of Sciences and Technology of China, School of Microelectronics, Hefei, China (GRID:grid.59053.3a) (ISNI:0000000121679639) 
3  Chinese Academy of Sciences, State Key Laboratory of Integrated Optoelectronics, Institute of Semiconductors, Beijing, China (GRID:grid.9227.e) (ISNI:0000000119573309); University of Chinese Academy of Sciences, Beijing, China (GRID:grid.410726.6) (ISNI:0000 0004 1797 8419) 
4  Chinese Academy of Sciences, Institute of Automation, Beijing, China (GRID:grid.9227.e) (ISNI:0000000119573309) 
5  East China Normal University, Key Laboratory of Brain Functional Genomics, Shanghai, China (GRID:grid.22069.3f) (ISNI:0000 0004 0369 6365) 
6  Brain Machine Fusion Intelligence Institute, Suzhou, China (GRID:grid.410726.6) 
7  University of Chinese Academy of Sciences, Beijing, China (GRID:grid.410726.6) (ISNI:0000 0004 1797 8419); University of Chinese Academy of Sciences, School of Future Technologies, Beijing, China (GRID:grid.410726.6) (ISNI:0000 0004 1797 8419); Chinese Academy of Sciences, Technical Institute of Physics and Chemistry, Beijing, China (GRID:grid.9227.e) (ISNI:0000000119573309) 
8  Chinese Academy of Sciences, State Key Laboratory of Integrated Optoelectronics, Institute of Semiconductors, Beijing, China (GRID:grid.9227.e) (ISNI:0000000119573309) 
9  Chinese Academy of Sciences, State Key Laboratory of Integrated Optoelectronics, Institute of Semiconductors, Beijing, China (GRID:grid.9227.e) (ISNI:0000000119573309); University of Chinese Academy of Sciences, Beijing, China (GRID:grid.410726.6) (ISNI:0000 0004 1797 8419); Chinese Institute for Brain Research, Beijing, China (GRID:grid.510934.a) (ISNI:0000 0005 0398 4153) 
Publication year
2022
Publication date
2022
Publisher
Springer Nature B.V.
ISSN
20961030
e-ISSN
20557434
Source type
Scholarly Journal
Language of publication
English
DOI
https://doi.org/10.1038/s41378-022-00366-2
ProQuest document ID
2663135638
Copyright
© The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.