The Modelling Of Neural Mass And Analysis On Multiple Coupled Areas

The analysis and modeling of coupled multiple areas EEG signals can help to reveal the coordination and transfer functions between the different areas of the brain,having the important significance for understanding the relationship between the brain's neural areas,and to better further study the communication between regions which.has a role on the study of medicine epileptic disease pathogenesis.Therefore,this thesis studies and analyzes EEG signals on the model of coupling dual areas and multiple dynamic neural mass.Fist of all,the paper introduces the basic neural mass model.The Jansen model and its dynamic development can help to gradually understand the basic principle of the model of NMM.We show the effects of various parameters on simulated signals of single NMM,and understand basic meaning and role of various physiological parameters.Then a fast inhibitory feedback loop is added to NMM and become the fast inhibitory NMM,the model can generate signals with high frequency oscillation.Secondly,the model of coupling dual areas and dual dynamic neural populations is made up of the two basic single channel models interconnected by weight coefficients and coupling relation.The model can simulate signals with rich frequencies,and with the coupling directions change in the different channels or the same channels,the output signals present bimodal and unimodal at the frequency domain.Through adjusting the weight coefficients of areas and the coupling parameters between areas,the model can generate the rule EEG signals.In addition,the coupling coefficient and propagation delay have some impacts on frequency peak of simulation signal under the same areas.Finally,single-channel fast inhibitory neural mass model is expended multiple-channels fast inhibitory neural mass model.The restraint conditions of seizure propagation and suppression are found.The result provides insights into possible epileptic disease cure mechanism.