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Emerging fiber-based neural interfaces with conductive composites

Authors
원치형Cho SungjoonJang Kyung-InPark Jang-UngCho Jeong HoLee Taeyoon
Issue Date
Jul-2025
Publisher
Royal Society of Chemistry
Citation
Materials Horizons, v.12, no.13, pp 4545 - 4572
Pages
28
Journal Title
Materials Horizons
Volume
12
Number
13
Start Page
4545
End Page
4572
URI
https://yscholarhub.yonsei.ac.kr/handle/2021.sw.yonsei/23407
DOI
10.1039/D4MH01854K
ISSN
2051-6347
2051-6355
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.
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College of Engineering > 공과대학 전기전자공학부 > 공과대학 전기전자공학과 > 1. Journal Articles

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