A mechanically adaptive hydrogel neural interface based on silk fibroin for high-efficiency neural activity recording-Reference-Cited by-同舟云学术

A mechanically adaptive hydrogel neural interface based on silk fibroin for high-efficiency neural activity recording

Published:2022 Issue:8 Volume:9 Page:2215-2225
ISSN:2051-6347
Container-title:Materials Horizons
language:en
Short-container-title:Mater. Horiz.

Author:

Ding Jie¹,Chen Zhihong¹,Liu Xiaoyin²,Tian Yuan¹,Jiang Ji¹,Qiao Zi¹,Zhang Yusheng¹,Xiao Zhanwen¹,Wei Dan¹,Sun Jing¹,Luo Fang³,Zhou Liangxue²,Fan Hongsong¹^ORCID

Affiliation:

1. National Engineering Research Center for Biomaterials, College of Biomedical Engineering, Sichuan University, Chengdu 610064, Sichuan, China

2. Department of Neurosurgery, West China Medical School, West China Hospital, Sichuan University, Chengdu 610064, Sichuan, China

3. The Center of Gerontology and Geriatrics, West China Hospital, Sichuan University, Chengdu 610064, Sichuan, China

Abstract

A bio-based hydrogel is constructed as an adaptive, biocompatible, and conductive neural interface. The advances generating tight mechanical coupling, low impedance, and high charge storage capacity resulted in efficient neural signal recording.

Funder

National Natural Science Foundation of China

Sichuan Province Science and Technology Support Program

Publisher

Royal Society of Chemistry (RSC)

Subject

Electrical and Electronic Engineering,Process Chemistry and Technology,Mechanics of Materials,General Materials Science

Link

http://pubs.rsc.org/en/content/articlepdf/2022/MH/D2MH00533F

Reference47 articles.

1. Printed Stretchable Liquid Metal Electrode Arrays for In Vivo Neural Recording

2. Microelectrode Arrays Modified with Nanocomposites for Monitoring Dopamine and Spike Firings under Deep Brain Stimulation in Rat Models of Parkinson’s Disease