神经假体的进展:界面、材料和应用

IF 13.8 2区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY
Enhui He, Kangming Chen, Shishuo Liu, Haisong Chen, Yu Xiao, Rongrong Chen, Peiqin Tu, Gang Pan, Peng Lin
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引用次数: 0

摘要

神经假体已经成为恢复感觉、运动和认知功能的关键技术,通过电子系统桥接或绕过受损的神经通路,为神经系统疾病提供了变革性的治疗策略。然而,由于神经界面的不匹配,实现生物和电子系统之间的长期稳定和高保真相互作用仍然是一个重大挑战。本文综述了纳米技术在构建高性能神经假体中的关键作用,包括六个关键类别:运动、视觉、触觉、语言、记忆和嗅觉。提出了一种神经假体的系统架构,突出了两个关键接口,即“神经-电子”和“环境-电子”接口。我们调查了材料和设备的最新进展,这些材料和设备可以塑造更好的神经电极和新型传感器,并讨论了神经形态计算在神经假体中有效边缘处理的潜在应用。本文旨在概述高通量双向交互、仿生编码和自适应闭环系统的未来发展轨迹,以期实现电子系统和生物神经回路之间的无缝集成。此图像的替代文本可能是使用人工智能生成的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Advances in neuroprostheses: interfaces, materials, and applications

Neuroprostheses have become a pivotal technology for restoring sensory, motor, and cognitive functions, offering transformative therapeutic strategies for neurological disorders by bridging or bypassing damaged neural pathways through electronic systems. However, achieving long-term stability and high-fidelity interaction between biological and electronic systems remains a significant challenge due to the mismatch at the neural interface. This review examines the critical role of nanotechnology in building high performance neuroprostheses across six key classes: motor, visual, tactile, language, memory and olfactory. A system architecture of the neuroprostheses is proposed that highlights two critical interfaces, namely, “neural-electronic” and “environment-electronic” interfaces. We survey recent advances in materials and devices that shape better neural electrodes and novel sensors, and discuss the potential utilization of neuromorphic computing for efficient edge processing in neuroprostheses. This review aims to outline future trajectories toward high-throughput bidirectional interaction, biomimetic encoding, and adaptive closed-loop systems, aspiring to achieve seamless integration between electronic systems and biological neural circuitry.

Graphical abstract

The alternative text for this image may have been generated using AI.
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来源期刊
Nano Convergence
Nano Convergence Engineering-General Engineering
CiteScore
15.90
自引率
2.60%
发文量
50
审稿时长
13 weeks
期刊介绍: Nano Convergence is an internationally recognized, peer-reviewed, and interdisciplinary journal designed to foster effective communication among scientists spanning diverse research areas closely aligned with nanoscience and nanotechnology. Dedicated to encouraging the convergence of technologies across the nano- to microscopic scale, the journal aims to unveil novel scientific domains and cultivate fresh research prospects. Operating on a single-blind peer-review system, Nano Convergence ensures transparency in the review process, with reviewers cognizant of authors' names and affiliations while maintaining anonymity in the feedback provided to authors.
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