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Resonance effects in neuronal-astrocyte model with ion channel blockage

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  • Xiao, Fangli
  • Fu, Ziying
  • Jia, Ya
  • Yang, Lijian

Abstract

Blockage of the specific ion channel is significant for neuronal dynamics. Astrocytes, the active partners of neurons, play the role of regulators of many neural activity processes. The effects of ion channel blockage and astrocyte responses to subthreshold periodic signals of different frequencies were investigated in a stochastic extended Hodgkin-Huxley model. We demonstrated that the neuronal response to weak signals is weakened by sodium channel blockage, whereas it is improved by modulating the degree of potassium channel blockage. There is a certain value of potassium channel blocking intensity, corresponding to the optimal response output, that is, the system has reached the resonance state. When taking the astrocyte into account, the system's response to weak stimuli can be enhanced a little. The more significant role of the astrocyte is that they have different responses to weak signals at different frequencies. The greater the neuron-astrocyte coupling strength factor, the better the response of the neuron to high-frequency weak signals. Therefore, we noted the phenomenon of “frequency selection” of the system's response to weak signals: at low frequencies, potassium channel blockage improves the response, whereas the astrocyte can modulate the neuronal response to external stimuli in the higher frequency range.

Suggested Citation

  • Xiao, Fangli & Fu, Ziying & Jia, Ya & Yang, Lijian, 2023. "Resonance effects in neuronal-astrocyte model with ion channel blockage," Chaos, Solitons & Fractals, Elsevier, vol. 166(C).
  • Handle: RePEc:eee:chsofr:v:166:y:2023:i:c:s0960077922011481
    DOI: 10.1016/j.chaos.2022.112969
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    1. Schmid, Gerhard & Goychuk, Igor & Hänggi, Peter, 2004. "Controlling the spiking activity in excitable membranes via poisoning," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 344(3), pages 665-670.
    2. Wang, Hengtong & Chen, Yong, 2016. "Response of autaptic Hodgkin–Huxley neuron with noise to subthreshold sinusoidal signals," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 462(C), pages 321-329.
    3. Wang, Li & Gong, Yubing & Lin, Xiu, 2012. "Ordered chaotic bursting and multiple coherence resonance by time-periodic coupling strength in Newman–Watts neuronal networks," Chaos, Solitons & Fractals, Elsevier, vol. 45(2), pages 131-136.
    4. Yao, Yuangen & Su, Chunwei & Xiong, Juan, 2019. "Enhancement of weak signal detection in the Hodgkin–Huxley neuron subjected to electromagnetic fluctuation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 531(C).
    5. E. V. Pankratova & A. V. Polovinkin & E. Mosekilde, 2005. "Resonant activation in a stochastic Hodgkin-Huxley model: Interplay between noise and suprathreshold driving effects," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 45(3), pages 391-397, June.
    6. Yu, Dong & Wang, Guowei & Ding, Qianming & Li, Tianyu & Jia, Ya, 2022. "Effects of bounded noise and time delay on signal transmission in excitable neural networks," Chaos, Solitons & Fractals, Elsevier, vol. 157(C).
    7. Yu, Dong & Lu, Lulu & Wang, Guowei & Yang, Lijian & Jia, Ya, 2021. "Synchronization mode transition induced by bounded noise in multiple time-delays coupled FitzHugh–Nagumo model," Chaos, Solitons & Fractals, Elsevier, vol. 147(C).
    8. Cheng, Guanghui & Liu, Weidan & Gui, Rong & Yao, Yuangen, 2020. "Sine-Wiener bounded noise-induced logical stochastic resonance in a two-well potential system," Chaos, Solitons & Fractals, Elsevier, vol. 131(C).
    9. Wang, Guowei & Yu, Dong & Ding, Qianming & Li, Tianyu & Jia, Ya, 2021. "Effects of electric field on multiple vibrational resonances in Hindmarsh-Rose neuronal systems," Chaos, Solitons & Fractals, Elsevier, vol. 150(C).
    10. Ge, Mengyan & Lu, Lulu & Xu, Ying & Mamatimin, Rozihajim & Pei, Qiming & Jia, Ya, 2020. "Vibrational mono-/bi-resonance and wave propagation in FitzHugh–Nagumo neural systems under electromagnetic induction," Chaos, Solitons & Fractals, Elsevier, vol. 133(C).
    11. Li, Jiajia & Wang, Rong & Du, Mengmeng & Tang, Jun & Wu, Ying, 2016. "Dynamic transition on the seizure-like neuronal activity by astrocytic calcium channel block," Chaos, Solitons & Fractals, Elsevier, vol. 91(C), pages 702-708.
    12. Makovkin, S Yu & Shkerin, I V & Gordleeva, S Yu & Ivanchenko, M V, 2020. "Astrocyte-induced intermittent synchronization of neurons in a minimal network," Chaos, Solitons & Fractals, Elsevier, vol. 138(C).
    13. Yuangen Yao & Lijian Yang & Canjun Wang & Quan Liu & Rong Gui & Juan Xiong & Ming Yi, 2018. "Subthreshold Periodic Signal Detection by Bounded Noise-Induced Resonance in the FitzHugh–Nagumo Neuron," Complexity, Hindawi, vol. 2018, pages 1-10, February.
    14. Uzun, Rukiye, 2017. "Influences of autapse and channel blockage on multiple coherence resonance in a single neuron," Applied Mathematics and Computation, Elsevier, vol. 315(C), pages 203-210.
    15. Wang, Guowei & Wu, Yong & Xiao, Fangli & Ye, Zhiqiu & Jia, Ya, 2022. "Non-Gaussian noise and autapse-induced inverse stochastic resonance in bistable Izhikevich neural system under electromagnetic induction," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 598(C).
    16. Wang, Jiang & Chen, Liangquan & Fei, Xianyang, 2007. "Analysis and control of the bifurcation of Hodgkin–Huxley model," Chaos, Solitons & Fractals, Elsevier, vol. 31(1), pages 247-256.
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