Knowledge and attitudes of preclinical and clinical medical students toward epilepsy: A cross-sectional study from Turkey.

Objective: The aim of this study is to evaluate the epilepsy-related knowledge and attitudes toward epilepsy in medical students. In addition, these parameters were evaluated according to national geographic regions, preclinical and clinical characteristics.

Methods: This study was a cross-sectional, observational design and it was conducted among medical students in a centrally located city, Turkey.

From attributes to communities: a novel approach in social network generation.

Generating networks with attributes would be useful in computer game development by enabling dynamic social interactions, adaptive storylines, realistic economic systems, ecosystem modelling, urban development, strategic planning, and adaptive learning systems. To this end, we propose the Attribute-based Realistic Community and Associate NEtwork (ARCANE) algorithm to generate node-attributed networks with functional communities. We have designed a numerical node attribute-edge relationship computation system to handle the edge generation phase of our network generator, which is a different method from our predecessors.

Task-dependent functional connectivity changes in response to varying levels of social support.

Background: Having social support improves one's health outcomes and self-esteem, and buffers the negative impact of stressors. Previous studies have explored the association between social support and brain activity, but evidence from task-dependent functional connectivity is still limited.

Aims: We aimed to explore how gradually decreasing levels of social support influence task-dependent functional connectivity across several major neural networks.

The Effect of Aging on Face-Name Recognition: An fMRI Study.

Objective: The aim of this study is to detect functional changes in the brain during the memory task with aging and the association between functional changes and memory performance.

Method: The study consisted of Young Adult Group (YAG, n=20) aged 20 to 25 and Late Adult Group (LAG, n=18) aged 60 to 70. Individuals with Montreal Cognitive Assessment (MoCA) scores above 21 and no family history of Alzheimer's Disease were included in the study.

Molecular Subgrouping Based on Immunohistochemistry in Medulloblastoma: A Single-Center Experience.

Aim: To investigate the efficacy of immunohistochemical methods to determine molecular subgroups and prognostic predictions of medulloblastomas (MBs).

Material And Methods: β-catenin, GAB1, YAP1, filamin A and p53 were immunohistochemically stained, and MYC and MYCN fluorescent in situ hybridization (FISH) procedures were applied to 218 cases in our series.

Results: Based on the histomorphological characteristics of the cases, 67.