This article was to study the micro-leakage of 3 different root canal sealers (Endomethasone, AH-Plus and GuttaFlow) by fluid filtration test, and to observe the micro-structure between walls of root canal and the sealers by SEM. The results indicated that the micro-leakage of GuttaFlow was the least and Endomethasone was the most. Statistics difference were found between all the groups. Different root canal sealer got different micro-structure between walls of root canal and sealers. So we consider that the canal sealing ability of GuttaFlow is the best among these sealers.

Studies have shown that the clinical manifestation of patients with neuropsychiatric disorders might be related to the abnormal connectivity of brain functions. Psychogenic non-epileptic seizures (PNES) are different from the conventional epileptic seizures due to the lack of the expected electroencephalographically epileptic changes in central nervous system, but are related to the presence of significant psychological factors. Diagnosis of PNES remains challenging. We found in the present work that the connectivity between the frontal and parieto-occipital in PNES was weaker than that of the controls by using network analysis based on electroencephalogram (EEG) signals. In addition, PNES were recognized by using the network properties as linear discriminant nalysis (LDA) input and classification accuracy was 85%. This study may provide a feasible tool for clinical diagnosis of PNES.
Brain ; physiopathology ; Electroencephalography ; Epilepsy ; Humans ; Seizures ; diagnosis