Phase-space reconstruction of ECoG time sequences and extraction of nonlinear characteristic quantities;

In order to classify electrocorticogram(ECoG) signals of different mental tasks in a brain-computer interface(BCI) system,a method based on the combination of genetic algorithm (GA) and multilayer perceptron neural network(MLPNN) was presented.

Brain is a very complex non-linear system, and electroencephalograph (EEG) and electrocorticogram (ECoG) are also non-stationary and nonlinear in nature, signal processing methods based on linear and stationary assumptions, although has obtained important result, can not grasp the entire picture of neuroscience.

Objectives:To explore the clinical applied value of electrocorticogramy(ECoG) in the operation of patients with brain tumour and secondary epilepsy.

Objective: To explore the action of VEEG and ECoG in surgical treatment of refractoryepilepsy.

Methods In 4 years,165 patients who are secondary epilepsies have been performed by the method that original lesions were resected and peripheral cortices were fulgurated by bipolar according to ECoG.

Objective To evaluate the accuracy of localization of intractable epileptiogenic lesion and the effect of resection under cortical electroencephalogram(ECoG) together with multiple subpial transection(MST).

The electrocorticogram(ECoG)and the electrohippocampalogram(EHG) and the evoked potentials of cerebral cortex were observed after the injection of calcium channel blocker MnCl 2 into lateral cerebroventricle.

The electrocorticogram(ECoG)and the electrohippocampalogram(EHG) and the evoked potentials of cerebral cortex were observed after the injection of calcium channel blocker flunarizine into lateral cerebroventricle.

Under artificial respiration,the inhibition rate of 130μg/kg α-BGT on the desynchronization of rat electrocorticogram (ECoG)induced by the intraventricalar injection of nicotine was 60%.