Simulation study of stimulation parameters in desynchronisation based on the Hodgkin-Huxley small-world neural networks and its possible implications for vagus nerve stimulation.
Adopting small-world neural networks of the Hodgkin-Huxley (HH) model, the stimulation parameters in desynchronisation and its possible implications for vagus nerve stimulation (VNS) are numerically investigated. With the synchronisation status of networks to represent epilepsy, then, adding pulse to stimulations to 10% of neurons to simulate the VNS, we obtain the desynchronisation status of networks (representing antiepileptic effects). The simulations show that synchronisation evolves into desynchronisation in the HH neural networks when a part (10%) of neurons are stimulated with a pulse current signal. The network desynchronisation appears to be sensitive to the stimulation parameters. For the case of the same stimulation intensity, weakly coupled networks reach desynchronisation more easily than strongly coupled networks. The network desynchronisation reduced by short-stimulation interval is more distinct than that of induced by long stimulation interval. We find that there exist the optimal stimulation interval and optimal stimulation intensity when the other stimulation parameters remain certain.
1Institute of Theoretical Physics, Lanzhou University of Technology, Lanzhou, China.
Yan-Long
YL
Li
2Department of Mechanical Engineering, University of California, Berkeley, CA, USA.
Zhao-Yang
ZY
Chen
1Institute of Theoretical Physics, Lanzhou University of Technology, Lanzhou, China.
Jun
J
Ma
1Institute of Theoretical Physics, Lanzhou University of Technology, Lanzhou, China.
Yu-Hong
YH
Chen