Sensing and Stimulation Applications of Carbon Nanomaterials in Implantable Brain-Computer Interface

Author:

Li Jinning1234,Cheng Yuhang1234,Gu Minling1234,Yang Zhen1234,Zhan Lisi1234,Du Zhanhong1234

Affiliation:

1. The Brain Cognition and Brain Disease Institute (BCBDI), Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China

2. Guangdong Provincial Key Laboratory of Brain Connectome and Behavior, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China

3. CAS Key Laboratory of Brain Connectome and Manipulation, Shenzhen-Hong Kong Institute of Brain Science, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China

4. Shenzhen Fundamental Research Institutions, Shenzhen 518055, China

Abstract

Implantable brain–computer interfaces (BCIs) are crucial tools for translating basic neuroscience concepts into clinical disease diagnosis and therapy. Among the various components of the technological chain that increases the sensing and stimulation functions of implanted BCI, the interface materials play a critical role. Carbon nanomaterials, with their superior electrical, structural, chemical, and biological capabilities, have become increasingly popular in this field. They have contributed significantly to advancing BCIs by improving the sensor signal quality of electrical and chemical signals, enhancing the impedance and stability of stimulating electrodes, and precisely modulating neural function or inhibiting inflammatory responses through drug release. This comprehensive review provides an overview of carbon nanomaterials’ contributions to the field of BCI and discusses their potential applications. The topic is broadened to include the use of such materials in the field of bioelectronic interfaces, as well as the potential challenges that may arise in future implantable BCI research and development. By exploring these issues, this review aims to provide insight into the exciting developments and opportunities that lie ahead in this rapidly evolving field.

Funder

Key-Area Research and Development Program of Guangdong Province

Natural Science Foundation of China Grant

National Key R&D Program of China

Scientific and Technological Innovation 2030 Key Project

Strategic Priority Research Program of Chinese Academy of Science

National Special Support Grant

NSFC-Guangdong Joint Fund

Guangdong Provincial Grant

Shenzhen Infrastructure for Brain Analysis and Modeling

Shenzhen Governmental Basic Research Grants

Publisher

MDPI AG

Subject

Inorganic Chemistry,Organic Chemistry,Physical and Theoretical Chemistry,Computer Science Applications,Spectroscopy,Molecular Biology,General Medicine,Catalysis

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