Bonding performance of two newly developed self‑adhering materials between zirconium and dentin

Purpose: This study evaluated the effect of four resin materials on the shear bond strength (SBS) of a ceramic core material to dentin.Materials and Methods: Sixty molar teeth were embedded in a self‑curing acrylic resin. All specimens were randomly divided into four groups of teeth, each according to the resin cement used. Sixty cylinders were then luted with one of the four resin materials to dentin (GC EQUIA, Panavia F, Variolink II and Vertise). Then, specimens were stored in distilled water at 37oC for one day. Shear bond strength of each specimen was measured using a universal testing machine at a crosshead speed of 0.5 mm/minute. The bond strength values were calculated in N, and the results were statistically analyzed using a Kruskal–Wallis and Bonferroni corrected Mann–Whitney U tests.Results: The shear bond strength varied significantly depending on the resin materials used (P < 0.05). The specimens luted with GC EQUIA showed the highest shear bond strength (25.19 ± 6.12), whereas, the specimens luted with Vertise flow (8.1 ± 2.75) and Panavia F (11.17 ± 3.89) showed the lowest.Conclusion: GC EQUIA material showed a higher shear bond strength value than other resin materials.Key words: Shear bond strength, self‑adhering, zirconi

Alterations of Neuronal Dynamics as a Mechanism for Cognitive Impairment in Epilepsy

International audienceEpilepsy is commonly associated with cognitive and behavioral deficits that dramatically affect the quality of life of patients. In order to identify novel therapeutic strategies aimed at reducing these deficits, it is critical first to understand the mechanisms leading to cognitive impairments in epilepsy. Traditionally, seizures and epileptiform activity in addition to neuronal injury have been considered to be the most significant contributors to cognitive dysfunction. In this review we however highlight the role of a new mechanism: alterations of neuronal dynamics, i.e. the timing at which neurons and networks receive and process neural information. These alterations, caused by the underlying etiologies of epilepsy syndromes, are observed in both animal models and patients in the form of abnormal oscillation patterns in unit firing, local field potentials, and electroencephalogram (EEG). Evidence suggests that such mechanisms significantly contribute to cognitive impairment in epilepsy, independently of seizures and interictal epileptiform activity. Therefore, therapeutic strategies directly targeting neuronal dynamics rather than seizure reduction may significantly benefit the quality of life of patients