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Structurally Aligned Multifunctional Neural Probe (SAMP) Using Forest‐Drawn CNT Sheet onto Thermally Drawn Polymer Fiber for Long‐Term In Vivo Operation

Woojin Jeon, Jae Myeong Lee, Yeji Kim, Yunheum Lee, Joonhee Won, Somin Lee, Wonkyeong Son, Yong Hoe Koo, Ji‐Won Hong, Hocheol Gwac, Jinmyoung Joo, Seon Jeong Kim, Changsoon Choi, Seongjun Park

2024Advanced Materials31 citationsDOIOpen Access PDF

Abstract

Neural probe engineering is a dynamic field, driving innovation in neuroscience and addressing scientific and medical demands. Recent advancements involve integrating nanomaterials to improve performance, aiming for sustained in vivo functionality. However, challenges persist due to size, stiffness, complexity, and manufacturing intricacies. To address these issues, a neural interface utilizing freestanding CNT-sheets drawn from CNT-forests integrated onto thermally drawn functional polymer fibers is proposed. This approach yields a device with structural alignment, resulting in exceptional electrical, mechanical, and electrochemical properties while retaining biocompatibility for prolonged periods of implantation. This Structurally Aligned Multifunctional neural Probe (SAMP) employing forest-drawn CNT sheets demonstrates in vivo capabilities in neural recording, neurotransmitter detection, and brain/spinal cord circuit manipulation via optogenetics, maintaining functionality for over a year post-implantation. The straightforward fabrication method's versatility, coupled with the device's functional reliability, underscores the significance of this technique in the next-generation carbon-based implants. Moreover, the device's longevity and multifunctionality position it as a promising platform for long-term neuroscience research.

Topics & Concepts

Materials scienceNanotechnologyOptogeneticsBiocompatibilityCarbon nanotubeBiological neural networkPolymerTissue engineeringBiomedical engineeringComputer scienceNeuroscienceComposite materialEngineeringMetallurgyMachine learningBiologyNeuroscience and Neural EngineeringPhotoreceptor and optogenetics researchAdvanced Memory and Neural Computing