In vivo microelectrode arrays for neuroscience.

IF 54.2 Q1 MULTIDISCIPLINARY SCIENCES
Nature reviews. Methods primers Pub Date : 2025-01-01 Epub Date: 2025-05-08 DOI:10.1038/s43586-025-00399-7
Nathaniel P Williams, Mihaly Voroslakos, Delin Shi, May Yoon Pwint, Vittorino Lanzio, Hongwei Mao, Pavlo Zolotavin, Euisik Yoon, Thomas Stieglitz, Chong Xie, Timothy D Harris, Andrew B Schwartz, Xinyan Tracy Cui
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引用次数: 0

Abstract

Microelectrode arrays (MEAs) are devices capable of recording extracellular action potentials (spikes) from many neurons simultaneously and with high spatial and temporal resolution. MEAs have emerged as an invaluable tool for understanding how networks of neurons govern complex sensory, motor and decision-making processes. In this Primer, we introduce various in vivo MEA designs and describe their construction, characterization and applications. We describe approaches for effective device implantation and the use of MEA recordings in behavioural experiments. We then discuss strategies for obtaining high-quality and stable electrophysiological recordings, including through mitigating the foreign body reaction. We introduce the reader to spike sorting approaches with a focus on semi-automated sorting of high-channel-count data, as well as to the analysis of sorted spikes and their uses. Finally, we cover future trends and emerging MEA technology designed to expand current capabilities and overcome limitations, with a focus on biomimetic and multifunctional devices. This Primer should provide the reader with a foundation in the fundamental principles of MEA technology for in vivo use.

神经科学的体内微电极阵列。
微电极阵列(MEAs)是一种能够同时记录来自多个神经元的细胞外动作电位(spike)的设备,具有很高的空间和时间分辨率。mea已经成为理解神经元网络如何控制复杂的感觉、运动和决策过程的宝贵工具。在本入门中,我们介绍了各种体内MEA设计,并描述了它们的结构,表征和应用。我们描述了在行为实验中有效装置植入和使用MEA记录的方法。然后,我们讨论了获得高质量和稳定的电生理记录的策略,包括通过减轻异物反应。我们向读者介绍了尖峰排序方法,重点是高通道计数数据的半自动排序,以及对排序尖峰及其用途的分析。最后,我们介绍了未来的趋势和新兴的MEA技术,旨在扩展当前的能力和克服限制,重点是仿生和多功能设备。本引物应该为读者提供在体内使用的MEA技术的基本原理的基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
46.10
自引率
0.00%
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