Emerging fiber-based neural interfaces with conductive composites

Abstract

Neural interfaces that enable bidirectional communication between neural systems and external devices are crucial for treating neurological disorders and advancing brain–machine interfaces. Key requirements for these neural interfaces are the ability to modulate electrophysiological activity without causing tissue damage in the nerve system and long-term usability. Recent advances in biomedical neural electrodes aim to reduce mechanical mismatch between devices and surrounding tissues/organs while maintaining their electrical conductivity. Among these, fiber electrodes stand out as essential candidates for future neural interfaces owing to their remarkable flexibility, controllable scalability, and facile integration with systems. Herein, we introduce fiber-based devices with conductive composites, along with their fabrication technologies, and integration strategies for future neural interfaces. Compared to conventional neural electrodes, fiber electrodes readily combine with conductive materials such as metal nanoparticles, carbon-based nanomaterials, and conductive polymers. Their fabrication technologies enable high electrical performance without sacrificing mechanical properties. In addition, the neural modulation techniques of fiber electrodes; electrical, optical, and chemical, and their applications in central and peripheral nervous systems are carefully discussed. Finally, current limitations and potential advancements in fiber-based neural interfaces are highlighted for future innovations.

Graphical abstract: Emerging fiber-based neural interfaces with conductive composites

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Article information

Article type
Review Article
Submitted
18 Dec. 2024
Accepted
24 Marts 2025
First published
01 Apr. 2025
This article is Open Access
Creative Commons BY-NC license

Mater. Horiz., 2025, Advance Article

Emerging fiber-based neural interfaces with conductive composites

C. Won, S. Cho, K. Jang, J. Park, J. H. Cho and T. Lee, Mater. Horiz., 2025, Advance Article , DOI: 10.1039/D4MH01854K

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