The dynamic behavior of spiral waves in stochastic Hodgkin–Huxley neuronal networks with ion channel blocks

The dynamic behavior of spiral waves in stochastic Hodgkin–Huxley neuronal networks with ion channel blocks
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DOI:
10.1007/s11071-013-0852-5
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发表时间:
2013-03
期刊:
影响因子:
5.6
通讯作者:
Shaobao Liu;Ying Wu;Jiajia Li;Yong Xie;Ning Tan
Shaobao Liu;Ying Wu;Jiajia Li;Yong Xie;Ning Tan
中科院分区:
工程技术2区
文献类型:
--
作者:
Shaobao Liu;Ying Wu;Jiajia Li;Yong Xie;Ning Tan

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已知化学阻断会影响神经网络活动。在这里,我们定量研究了随机霍奇金-赫胥黎神经元网络中的螺旋波的动态行为,在钠或钾离子通道阻塞。当钠离子通道被阻断时,螺旋波首先变得稀疏,然后破裂。螺旋波跃迁的临界因子xNa对信道噪声敏感。然而,随着钾离子通道的阻断,螺旋波首先变得强烈,然后形成其他动态模式。螺旋波跃迁的临界因子xK对信道噪声不敏感。随着钠离子通道的阻断,网络中单个神经元的锋电位频率降低,神经元网络的集体兴奋性减弱。通过阻断钾离子通道,网络中单个神经元的锋电位频率增加,神经元网络的集体兴奋性增强。最后,我们发现螺旋波的行为与系统的同步有直接的关系。这项研究将增强我们对螺旋波通过毒素或药物进化的理解,并将有助于在真实的神经系统中找到控制螺旋波的潜在应用。
Chemical blocking is known to affect neural network activity. Here, we quantitatively investigate the dynamic behavior of spiral waves in stochastic Hodgkin–Huxley neuronal networks during sodium- or potassium-ion channel blockages. When the sodium-ion channels are blocked, the spiral waves first become sparse and then break. The critical factor for the transition of spiral waves (xNa) is sensitive to the channel noise. However, with the potassium-ion channel block, the spiral waves first become intensive and then form other dynamic patterns. The critical factor for the transition of spiral waves (xK) is insensitive to the channel noise. With the sodium-ion channel block, the spike frequency of a single neuron in the network is reduced, and the collective excitability of the neuronal network weakens. By blocking the potassium ion channels, the spike frequency of a single neuron in the network increases, and the collective excitability of the neuronal network is enhanced. Lastly, we found that the behavior of spiral waves is directly related to the system synchronization. This research will enhance our understanding of the evolution of spiral waves through toxins or drugs and will be helpful to find potential applications for controlling spiral waves in real neural systems.