201. Simulation study of stimulation parameters in desynchronisation based on the Hodgkin-Huxley small-world neural networks and its possible implications for vagus nerve stimulation
- Author
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Zhao-Yang Chen, Yan-Long Li, Jun Ma, and Yu-Hong Chen
- Subjects
Strongly coupled ,Artificial neural network ,medicine.diagnostic_test ,Pulse (signal processing) ,medicine.medical_treatment ,Stimulation ,Electroencephalography ,Hodgkin–Huxley model ,Psychiatry and Mental health ,medicine ,Pulse current ,Psychology ,Neuroscience ,Biological Psychiatry ,Vagus nerve stimulation - Abstract
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.
- Published
- 2014