发育过程中自发电生理活动的递归定量分析:多电极阵列芯片培养的体外神经元网络的表征

A. Novellino, J. Zaldívar
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引用次数: 21

摘要

本文提出将非线性时间序列分析技术、基于递归图的递归量化分析(RQA)与传统的神经元电生理统计分析相结合,作为研究体外神经元网络(NNs)耦合多电极阵列(MEA)芯片自发电生理活动变化的创新范式。计算了递归性、确定性、熵、活动模式的距离以及与峰值和突发参数(例如,平均峰值率、平均突发率、突发持续时间、突发中的峰值等)对应的相关性,以表征和评估神经元网络发育和成熟过程中神经元电生理的日常变化。结果显示了MEA芯片中几个通道和时间段之间的异同,以及自发活动的演变。RPs可以用于图形化地探索可能的神经元动态断裂/改变点,而RQA参数则适合于定位它们。RQA与传统方法的结合改善了电生理变化的识别、描述和预测,并将用于不同MEA芯片获得的结果之间的相互比较。结果表明,提出的处理范式作为一种有价值的工具来分析筛选目的的神经元活动(如毒理学,神经发育毒理学)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Recurrence Quantification Analysis of Spontaneous Electrophysiological Activity during Development: Characterization of In Vitro Neuronal Networks Cultured on Multi Electrode Array Chips
The combination of a nonlinear time series analysis technique, Recurrence Quantification Analysis (RQA) based on Recurrence Plots (RPs), and traditional statistical analysis for neuronal electrophysiology is proposed in this paper as an innovative paradigm for studying the variation of spontaneous electrophysiological activity of in vitro Neuronal Networks (NNs) coupled to Multielectrode Array (MEA) chips. Recurrence, determinism, entropy, distance of activity patterns, and correlation in correspondence to spike and burst parameters (e.g., mean spiking rate, mean bursting rate, burst duration, spike in burst, etc.) have been computed to characterize and assess the daily changes of the neuronal electrophysiology during neuronal network development and maturation. The results show the similarities/differences between several channels and time periods as well as the evolution of the spontaneous activity in the MEA chip. RPs could be used for graphically exploring possible neuronal dynamic breaking/changing points, whereas RQA parameters are suited for locating them. The combination of RQA with traditional approaches improves the identification, description, and prediction of electrophysiological changes and it will be used to allow intercomparison between results obtained from different MEA chips. Results suggest the proposed processing paradigm as a valuable tool to analyze neuronal activity for screening purposes (e.g., toxicology, neurodevelopmental toxicology).
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