Electroencephalogram (EEG) is the primary tool in investigation of the brain science. It is necessary to carry out a deepgoing study into the characteristics and information hidden in EEGs to meet the needs of the clinical research. In this paper, we present a wavelet-nonlinear dynamic methodology for analysis of nonlinear characteristic of EEGs and delta, theta, alpha, and beta sub-bands. We therefore studied the effectiveness of correlation dimension (CD), largest Lyapunov exponen, and approximate entropy (ApEn) in differentiation between the interictal EEG and ictal EEG based on statistical significance of the differences. The results showed that the nonlinear dynamic characteristic of EEG and EEG subbands could be used as effective identification statistics in detecting seizures.
ObjectiveThrough Sequenom iPEX system analyzed the genetic susceptibility in patients with Medial temporal lobe epilepsy (MTLE) which screening hyperpolarization-activated cyclic nucleotide gated channel (HCN) subunit HCN1 and HCN2 single nucleotide polymorphism blood samples. MethodsPatients with epilepsy who were diagnosed MTLE in our epileptic clinic from December 2013 to April 2016 were included in this study, total 143 cases. Healthy volunteers who received annual physical checkups were recruited to serve as controls total 120 cases. The group enter criterion according to a 2004 ILAE report mainly:①12~55 years old; ②attack forms:partial onset seizures or secondary tonic-closure-clonus attack, a common onset symptoms such as stomach gas rise feeling, sense of deja vu, automatism etc.; ③with or without febrile convulsions history; ④EEG displayed unilateral or bilateral temporal spike, sharp slow wave, or their spines slow-wave sample such as epilepsy wave; ⑤head MRI displayed hippocampal sclerosis. Exclusion criteria:①tumors; ②head MRI display focal cortical dysplasia (FCD). Using sequenom iPLEX technology platform to detect all the object of study of gene polymorphism sites total ten sites. All statistical tests were conducted using SPSS version 16.0. Resultsall sites fulfilled Hardy-Weinberg genetic balance. The results showed that HCN1 rs17344896 C/T, rs6451973 A/G and HCN2 rs12977194 A/G three polypeptide sites associated with MTLE, with statistical differences(P < 0.05). ConclusionHCN1 and HCN2 genetic suscepibility is one of possible mechanism of MTLE.