Analysis Of Epiletic Network Based Using Electroencephalography And Neural Computing Model

Epilepsy is a kind of brain function disease caused by the disorder of the brain network,which has the significant impact on the normal life of the patient.Some patients with epilepsy can usually control their seizures with medication.For patients who cannot control their seizures with medication,the only way to control their seizures is with surgery.Localization of the epileptogenic focus is crucial for surgery,which is usually done empirically by physicians based on EEG analysis and is inefficient and influenced by many factors.In this paper,based on network analysis and scalp Electroencephalogram source imaging(ESI)for localization of epileptogenic foci,firstly traced the scalp EEG of two patients after seizures to the intracranial area,constructed a cortical brain network based on the Directed transfer function(DTF),and calculated the out-degree and in-degree values of each brain region in five frequency bands: δ,θ,α,β and γ.The localization results were compared with the actual surgical resection site of the patient and evaluated for localization accuracy.The results showed that the incidence localization results in the major power segments of the patient’s EEG were in good agreement with the patient’s surgical resection area.Secondly,in order to study the dynamic characteristics of epilepsy network,this paper further introduces the neurocomputational modeling method,using the weighted phase lag index(w PLI)to construct a cortical brain network,based on which a neurocomputational model is constructed to analyze the correlation between seizure indices and epileptogenic foci in each brain region.To verify the reliability of the neurocomputational modeling method,a simulation source with epileptic activity was constructed in the head model and mapped to the scalp to obtain a simulated scalp signal,and the results showed that the method could find the simulation source in the cortex.Finally,the validity of the method was further verified using pre-seizure EEG data of a patient.The results of the study showed that tracing the scalp brain of epileptic patients to the intracranial level and combining the neurocomputational model for network analysis can effectively localize the epileptogenic focus and provide an objective reference for locating the epileptogenic focus in clinical practice.