Electrical excitability of neuronal networks based on the voltage threshold of electrical stimulation
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 introduc...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2024-12-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-024-78142-7 |
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| _version_ | 1841559463754989568 |
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| author | Chen Meng Yang Lu Yan Huang Xiaoying Lü |
| author_facet | Chen Meng Yang Lu Yan Huang Xiaoying Lü |
| author_sort | Chen Meng |
| collection | DOAJ |
| description | 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 Ni2+ 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 Ni2+. Based on the results from our study, our new method has great potential for use in large-scale screening of drugs. |
| format | Article |
| id | doaj-art-be04b6c117f9461d92a6ff200410815a |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-be04b6c117f9461d92a6ff200410815a2025-01-05T12:29:44ZengNature PortfolioScientific Reports2045-23222024-12-0114111110.1038/s41598-024-78142-7Electrical excitability of neuronal networks based on the voltage threshold of electrical stimulationChen Meng0Yang Lu1Yan Huang2Xiaoying Lü3State Key Laboratory of Digital Medical Engineering, Southeast UniversityState Key Laboratory of Digital Medical Engineering, Southeast UniversityState Key Laboratory of Digital Medical Engineering, Southeast UniversityState Key Laboratory of Digital Medical Engineering, Southeast UniversityAbstract 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 Ni2+ 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 Ni2+. Based on the results from our study, our new method has great potential for use in large-scale screening of drugs.https://doi.org/10.1038/s41598-024-78142-7 |
| spellingShingle | Chen Meng Yang Lu Yan Huang Xiaoying Lü Electrical excitability of neuronal networks based on the voltage threshold of electrical stimulation Scientific Reports |
| title | Electrical excitability of neuronal networks based on the voltage threshold of electrical stimulation |
| title_full | Electrical excitability of neuronal networks based on the voltage threshold of electrical stimulation |
| title_fullStr | Electrical excitability of neuronal networks based on the voltage threshold of electrical stimulation |
| title_full_unstemmed | Electrical excitability of neuronal networks based on the voltage threshold of electrical stimulation |
| title_short | Electrical excitability of neuronal networks based on the voltage threshold of electrical stimulation |
| title_sort | electrical excitability of neuronal networks based on the voltage threshold of electrical stimulation |
| url | https://doi.org/10.1038/s41598-024-78142-7 |
| work_keys_str_mv | AT chenmeng electricalexcitabilityofneuronalnetworksbasedonthevoltagethresholdofelectricalstimulation AT yanglu electricalexcitabilityofneuronalnetworksbasedonthevoltagethresholdofelectricalstimulation AT yanhuang electricalexcitabilityofneuronalnetworksbasedonthevoltagethresholdofelectricalstimulation AT xiaoyinglu electricalexcitabilityofneuronalnetworksbasedonthevoltagethresholdofelectricalstimulation |