Suppr超能文献

一种用于修复因材料失效而导致的电生理记录用深部脑神经微电极的低成本方案。

A low-cost protocol for reconditioning of deep-brain neural microelectrodes with material failure for electrophysiology recording.

机构信息

Research Laboratory for Integrated Circuits & Systems (ICAS), K.N. Toosi University of Technology, Tehran, Iran.

Department of Cognitive Sciences, Faculty of Psychology and Education, University of Tehran, Tehran, Iran.

出版信息

Biomed Phys Eng Express. 2024 Jul 24;10(5). doi: 10.1088/2057-1976/ad63ad.

Abstract

To date, a myriad of neural microelectrodes has been meticulously developed, but the focus of existing literature predominantly revolves around fabrication methodologies rather than delving into the reconditioning processes or strategies for salvaging electrodes exhibiting diminished performance due to material failure. This study aims to elucidate the underlying factors contributing to the degradation in performance of neural microelectrodes. Additionally, it introduces a comprehensive, cost-effective protocol for the reconditioning and repurposing of electrodes afflicted by material failure, tailored for a broad spectrum of electrode types. The efficacy of the proposed reconditioning protocol is substantiated through experimental validation on single-site tungsten microelectrodes. The results of neural signal recording unequivocally demonstrate the successful restoration of a substantial number of electrodes, underscoring the protocol's effectiveness.

摘要

迄今为止,已经开发出了无数种神经微电极,但现有文献的重点主要集中在制造方法上,而不是深入研究因材料失效而性能下降的电极的修复过程或策略。本研究旨在阐明导致神经微电极性能下降的根本因素。此外,它还介绍了一种全面、具有成本效益的协议,用于修复和重新利用因材料失效而受损的电极,适用于广泛的电极类型。通过对单站点钨微电极的实验验证,证实了所提出的修复协议的有效性。神经信号记录的结果明确表明,成功地恢复了大量的电极,突出了该协议的有效性。

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