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

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<sup>2+</sup> 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<sup>2+</sup>. Based on the results from our study, our new method has great potential for use in large-scale screening of drugs.

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Publication Details

Journal
Scientific Reports
Published
2024-12-30
DOI
https://doi.org/10.1038/s41598-024-78142-7
Citations
2
Primary Topic
Neuroscience and Neural Engineering
Type
article
Field-Weighted Citation Impact
0.54

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article

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

Lu Yang, Chen Meng, Yan Huang, Xiaoying Lü
2 citations
Scientific Reports
Neuroscience and Neural Engineering
0.54
article

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

Lu Yang, Chen Meng, Yan Huang, Xiaoying Lü
article en
2 citations

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<sup>2+</sup> 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<sup>2+</sup>. Based on the results from our study, our new method has great potential for use in large-scale screening of drugs.

Scientific ReportsVol. 14(1)
Southeast University (CN)
National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 33%
Neuroscience and Neural Engineering
0.54
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Electrical excitability of neuronal networks based on the voltage threshold of electrical stimulation — Lu Yang, Chen Meng, et al. · Scientific Reports (2024) | TGRS Research Map | TGRS