Modeling Of Neurons Mass In Motor Area Of Cerebral Cortex And Research On Neural Oscillation Mechanism

The analysis of neurophysiological mechanism has become a research hotspot in the field of neurorehabilitation medicine.The research on the physiological mechanism related to motor control is of great significance in the exploration of pathological mechanism of stroke and the evaluation of rehabilitation status.In this paper,according to the characteristics of the cortical motor area EEG signal under static grip strength,a neural mass model is constructed to obtain simulation signals that have fitting characteristics with the measured EEG,and the relationship between the model parameters with physiological significance and the physiological mechanism of the cortical motor area is analyzed,so as to explore the mechanism of neural oscillation in the cortical motor area from the perspective of computational neural model.The main research work of this paper includes:(1)Single-channel neuron mass modeling and alpha rhythm change feature analysis.Firstly,the basic single-channel neuron mass model is introduced as the simulation model of the cortical motor area,and the influence of the model parameters on the power characteristics of the simulated signal alpha rhythm is analyzed.Then,the power characteristics of alpha rhythm of EEG signals measured by different subjects under different static grip strength is analyzed.Finally,through the feature fitting of the average power of the measured EEG signal and the alpha rhythm of the model simulation signal,the parameter identification of the neuron mass model is realized,which verifies the consistency of the changes of the power characteristics of the simulated signal and the measured signal,and further explores the physiological mechanism of the changes of the alpha rhythm in the motor area of the cerebral cortex.(2)Modeling of single-channel cross-frequency coupling neuron mass and analysis of phase-amplitude coupling characteristics of theta-gamma rhythm.Firstly,the phase-amplitude coupling mass group model is constructed as the simulation model of the cortical motor area,and the influence of model parameters on the phase-amplitude coupling strength of the simulation signal is analyzed.Then,analyze the phase-amplitude coupling strength of the theta-gamma rhythm of the EEG signals of different subjects under different static grip strengths.Finally,through the feature fitting of the phase-amplitude coupling strength between the measured EEG signal and the model simulation signal theta-gamma rhythm,the consistency of the phase-amplitude coupling strength between the simulated signal and the measured signal is verified,and the physiological mechanism of the phase-amplitude coupling strength of theta-gamma rhythm in the motor area is further explored.(3)Modeling of coupled dual-channel neuron group and analysis of bidirectional coupling characteristics of beta rhythm.Firstly,a dual-channel neuron mass model is constructed.Channel 1 and Channel 2 are respectively used as the simulation models of the cortical motor area and the cortical sensory area,and the influence of the coupling coefficient between the channels on the coupling strength between the channels is analyzed.Then,analyze the coupling strength between the cortical motor area and the cortical sensory area in different frequency bands and different directions of different subjects under different static grip strengths.Finally,through the feature fitting of the bidirectional coupling strength of the beta rhythm between the measured EEG signal and the model simulation signal in different channels,the consistency of the coupling characteristics of the measured and simulated signals is verified,and the coupling mechanism between the cortical motor area and the cortical sensory area is further explored.