Epileptiform Discharges In Rat Hippocampus Evoked Field Potentials And Epileptic Eeg Analysis

Epilepsy is a chronic disease characterized by recurrent episodic and central system dysfunction caused by abnormal discharge of neurons. The hippocampus occupies an important role in the beginning and development of epileptic seizures especially in partial seizures (e.g. TLE). So far, neural mechanism of epileptic seizures has not yet been fully understood. There are still many difficulties in refractory epilepsy drug treatment. Therefore, the research of epilepsy nerve activity and kinetic characteristics of effective drug intervention have important theoretical and clinical value.In this paper, through the establishment of pilocarpine-induced acute and chronic rat model of epilepsy, we analyze epilepsy seizure process of spatiotemporal dynamics EEG changes and explore JuA on epilepsy neurons activities. The subject of our research is divided into two parts:1. We establish the model of pilocarpine-induced epileptiform discharges rats by intraperitoneal injection of pilocarpine under anesthesia, study the change of ECoG,EHG,FEP of hippocampus and JuA's impact on them in this course. The results show: there are significant differences among them after seizures and the power spectrum of ECoG and EHG are inhibited (P<0.05). It has great influence on EPSP (P<0.05) of hippocampus field evoked potentials, not as on PS latency. However, the dose-dependent relationship remains to be further analyzed These results suggest that in the process of epileptiform discharges JuA has the effect of inhibition on EEG and FEP2. By establishing pilocarpine-induced status epilepticus (SE) model, we collected the data in one week and analyzed the temporal-partial synchronization features of the EEG signals from different brain areas using freely moving rats after status epilepticus by Hilbert transform. It was found that synchronization between the cortex and hippocampus was significantly strengthened (P <0.05) and reached a peak after 3 hours after status epilepticus (P<0.01), then began to decrease at 24 hours (P<0.05). Among different rhythms, the changes ofδrhythm were very similar to total frequency domain. The results suggested that the synchronization analysis based on Hilbert transform might be used to describe the dynamics process of synchronization, andδrhythm might play a major role in EEG synchronization of epileptic rats.