Ephaptic entrainment in hybrid neuronal model
Abstract In recent decades, there has been a growing interest in the impact of electric fields generated in the brain. Transmembrane ionic currents originate electric fields in the extracellular space and are capable of affecting nearby neurons, a phenomenon called ephaptic neuronal communication. I...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2022-01-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-022-05343-3 |
| _version_ | 1798023853384925184 |
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| author | Gabriel Moreno Cunha Gilberto Corso José Garcia Vivas Miranda Gustavo Zampier Dos Santos Lima |
| author_facet | Gabriel Moreno Cunha Gilberto Corso José Garcia Vivas Miranda Gustavo Zampier Dos Santos Lima |
| author_sort | Gabriel Moreno Cunha |
| collection | DOAJ |
| description | Abstract In recent decades, there has been a growing interest in the impact of electric fields generated in the brain. Transmembrane ionic currents originate electric fields in the extracellular space and are capable of affecting nearby neurons, a phenomenon called ephaptic neuronal communication. In the present work, the Quadratic Integrated-and-Fire model (QIF-E) underwent an adjustment/improvement to include the ephaptic entrainment behavior between neurons and electric fields. Indeed, the aim of our study is to validate the QIF-E model, which is a model to estimate the influence of electric fields on neurons. For this purpose, we evaluated whether the main properties observed in an experiment by Anastassiou et al. (Nat Neurosci 14:217–223, 2011), which analyzed the effect of an electric field on cortical pyramidal neurons, are reproduced with the QIF-E model. In this way, the analysis tools are employed according to the neuronal activity regime: (i) for the subthreshold regime, the circular statistic is used to describe the phase differences between the input stimulus signal (electrode) and the modeled membrane response; (ii) in the suprathreshold regime, the Population Vector and the Spike Field Coherence are used to estimate phase preferences and the entrainment intensity between the input stimulus and Action Potentials. The results observed are (i) in the subthreshold regime the values of the phase differences change with distinct frequencies of the input stimulus; (ii) in the supra-threshold regime the preferential phase of Action Potentials changes for different frequencies. In addition, we explore other parameters of the model, such as noise and membrane characteristic-time, in order to understand different types of neurons and extracellular environment related to ephaptic communication. Such results are consistent with results observed in empirical experiments based on ephaptic phenomenon. In addition, the QIF-E model allows further studies on the physiological importance of ephaptic communication in the brain, and its simplicity may open a door to simulate the ephaptic response in neuronal networks and assess the impact of ephaptic communication in such scenarios. |
| first_indexed | 2024-04-11T17:53:15Z |
| format | Article |
| id | doaj.art-6c323e27ec2743c2a43418afd84f3877 |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-04-11T17:53:15Z |
| publishDate | 2022-01-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-6c323e27ec2743c2a43418afd84f38772022-12-22T04:10:59ZengNature PortfolioScientific Reports2045-23222022-01-0112111010.1038/s41598-022-05343-3Ephaptic entrainment in hybrid neuronal modelGabriel Moreno Cunha0Gilberto Corso1José Garcia Vivas Miranda2Gustavo Zampier Dos Santos Lima3Departamento de Física Teórica e Experimental, Universidade Federal do Rio Grande do NorteDepartamento de Física Teórica e Experimental, Universidade Federal do Rio Grande do NorteInstituto de Física, Universidade Federal da BahiaDepartamento de Física Teórica e Experimental, Universidade Federal do Rio Grande do NorteAbstract In recent decades, there has been a growing interest in the impact of electric fields generated in the brain. Transmembrane ionic currents originate electric fields in the extracellular space and are capable of affecting nearby neurons, a phenomenon called ephaptic neuronal communication. In the present work, the Quadratic Integrated-and-Fire model (QIF-E) underwent an adjustment/improvement to include the ephaptic entrainment behavior between neurons and electric fields. Indeed, the aim of our study is to validate the QIF-E model, which is a model to estimate the influence of electric fields on neurons. For this purpose, we evaluated whether the main properties observed in an experiment by Anastassiou et al. (Nat Neurosci 14:217–223, 2011), which analyzed the effect of an electric field on cortical pyramidal neurons, are reproduced with the QIF-E model. In this way, the analysis tools are employed according to the neuronal activity regime: (i) for the subthreshold regime, the circular statistic is used to describe the phase differences between the input stimulus signal (electrode) and the modeled membrane response; (ii) in the suprathreshold regime, the Population Vector and the Spike Field Coherence are used to estimate phase preferences and the entrainment intensity between the input stimulus and Action Potentials. The results observed are (i) in the subthreshold regime the values of the phase differences change with distinct frequencies of the input stimulus; (ii) in the supra-threshold regime the preferential phase of Action Potentials changes for different frequencies. In addition, we explore other parameters of the model, such as noise and membrane characteristic-time, in order to understand different types of neurons and extracellular environment related to ephaptic communication. Such results are consistent with results observed in empirical experiments based on ephaptic phenomenon. In addition, the QIF-E model allows further studies on the physiological importance of ephaptic communication in the brain, and its simplicity may open a door to simulate the ephaptic response in neuronal networks and assess the impact of ephaptic communication in such scenarios.https://doi.org/10.1038/s41598-022-05343-3 |
| spellingShingle | Gabriel Moreno Cunha Gilberto Corso José Garcia Vivas Miranda Gustavo Zampier Dos Santos Lima Ephaptic entrainment in hybrid neuronal model Scientific Reports |
| title | Ephaptic entrainment in hybrid neuronal model |
| title_full | Ephaptic entrainment in hybrid neuronal model |
| title_fullStr | Ephaptic entrainment in hybrid neuronal model |
| title_full_unstemmed | Ephaptic entrainment in hybrid neuronal model |
| title_short | Ephaptic entrainment in hybrid neuronal model |
| title_sort | ephaptic entrainment in hybrid neuronal model |
| url | https://doi.org/10.1038/s41598-022-05343-3 |
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