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Recent advances in neural interfaces-Materials chemistry to clinical translation.

Accepted version
Peer-reviewed

Type

Article

Change log

Authors

Bettinger, Christopher J 
Ecker, Melanie 
Kozai, Takashi Daniel Yoshida 
Malliaras, George G 
Meng, Ellis 

Abstract

Implantable neural interfaces are important tools to accelerate neuroscience research and translate clinical neurotechnologies. The promise of a bidirectional communication link between the nervous system of humans and computers is compelling, yet important materials challenges must be first addressed to improve the reliability of implantable neural interfaces. This perspective highlights recent progress and challenges related to arguably two of the most common failure modes for implantable neural interfaces: (1) compromised barrier layers and packaging leading to failure of electronic components; (2) encapsulation and rejection of the implant due to injurious tissue-biomaterials interactions, which erode the quality and bandwidth of signals across the biology-technology interface. Innovative materials and device design concepts could address these failure modes to improve device performance and broaden the translational prospects of neural interfaces. A brief overview of contemporary neural interfaces is presented and followed by recent progress in chemistry, materials, and fabrication techniques to improve in vivo reliability, including novel barrier materials and harmonizing the various incongruences of the tissue-device interface. Challenges and opportunities related to the clinical translation of neural interfaces are also discussed.

Description

Keywords

40 Engineering, 4003 Biomedical Engineering, Neurosciences, Assistive Technology, Bioengineering

Journal Title

MRS Bull

Conference Name

Journal ISSN

0883-7694
1938-1425

Volume Title

45

Publisher

Springer Science and Business Media LLC

Rights

All rights reserved
Sponsorship
European Commission Horizon 2020 (H2020) Future and Emerging Technologies (FET) (732032)
King Abdullah University of Science and Technology (KAUST) (OSR-2016-CRG5-3003.2)