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基于电刺激电压阈值的神经网络电兴奋性。

Electrical excitability of neuronal networks based on the voltage threshold of electrical stimulation.

作者信息

Meng Chen, Lu Yang, Huang Yan, Lü Xiaoying

机构信息

State Key Laboratory of Digital Medical Engineering, Southeast University, Nanjing, 210096, China.

出版信息

Sci Rep. 2024 Dec 30;14(1):31573. doi: 10.1038/s41598-024-78142-7.

Abstract

Microelectrode arrays (MEAs) have been widely used in studies on the electrophysiological features of neuronal networks. In classic MEA experiments, spike or burst rates and spike waveforms are the primary characteristics used to evaluate the neuronal network excitability. Here, we introduced a new method to assess the excitability using the voltage threshold of electrical stimulation. We tested the stability of the voltage threshold during the experiment and demonstrated the reliability of our method by examining the effect of Ni on neocortical neuronal networks of acute brain slices from rats. Moreover, we compared our new method with the spontaneous activity analysis, which is one of the most commonly used methods in protocols for large-scale drug screening with MEA; our new method performed better in the experiments investigating the neocortical neuronal network excitability after the application of Ni. Based on the results from our study, our new method has great potential for use in large-scale screening of drugs.

摘要

微电极阵列(MEA)已广泛应用于神经元网络电生理特征的研究。在经典的MEA实验中,动作电位发放频率或爆发频率以及动作电位波形是用于评估神经元网络兴奋性的主要特征。在此,我们介绍了一种利用电刺激电压阈值评估兴奋性的新方法。我们在实验过程中测试了电压阈值的稳定性,并通过研究镍对大鼠急性脑片新皮质神经元网络的影响,证明了我们方法的可靠性。此外,我们将我们的新方法与自发活动分析进行了比较,自发活动分析是MEA大规模药物筛选方案中最常用的方法之一;在研究镍作用后新皮质神经元网络兴奋性的实验中,我们的新方法表现更佳。基于我们的研究结果,我们的新方法在大规模药物筛选中具有巨大的应用潜力。

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