Suppr超能文献

简化电子设备与神经系统之间的接口以实现双向电化学通信。

Streamlining the interface between electronics and neural systems for bidirectional electrochemical communication.

作者信息

Cho Wonkyung, Yoon Sun-Heui, Chung Taek Dong

机构信息

Department of Chemistry, Seoul National University Seoul 08826 Republic of Korea

Advanced Institutes of Convergence Technology Suwon-si 16229 Gyeonggi-do Republic of Korea.

出版信息

Chem Sci. 2023 Apr 14;14(17):4463-4479. doi: 10.1039/d3sc00338h. eCollection 2023 May 3.

Abstract

Seamless neural interfaces conjoining neurons and electrochemical devices hold great potential for highly efficient signal transmission across neural systems and the external world. Signal transmission through chemical sensing and stimulation electrochemistry is remarkable because communication occurs through the same chemical language of neurons. Emerging strategies based on synaptic interfaces, iontronics-based neuromodulation, and improvements in selective neurosensing techniques have been explored to achieve seamless integration and efficient neuro-electronics communication. Synaptic interfaces can directly exchange signals to and from neurons, in a similar manner to that of chemical synapses. Hydrogel-based iontronic chemical delivery devices are operationally compatible with neural systems for improved neuromodulation. In this perspective, we explore developments to improve the interface between neurons and electrodes by targeting neurons or sub-neuronal regions including synapses. Furthermore, recent progress in electrochemical neurosensing and iontronics-based chemical delivery is examined.

摘要

连接神经元与电化学装置的无缝神经接口,在跨神经系统与外部世界进行高效信号传输方面具有巨大潜力。通过化学传感和刺激电化学进行的信号传输十分显著,因为通信是通过神经元相同的化学语言来实现的。人们已经探索了基于突触接口、基于离子电子学的神经调节以及选择性神经传感技术的改进等新兴策略,以实现无缝集成和高效的神经电子通信。突触接口可以与神经元直接进行信号交换,其方式与化学突触类似。基于水凝胶的离子电子化学传递装置在操作上与神经系统兼容,可改善神经调节。从这个角度出发,我们通过针对神经元或包括突触在内的亚神经元区域,探索改善神经元与电极之间接口的进展。此外,还研究了电化学神经传感和基于离子电子学的化学传递方面的最新进展。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7037/10155913/bd1e0d45c0f3/d3sc00338h-f1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验