Epilepsy is a common disease of the nervous system characterized by transient brain dysfunction caused by an abnormal electrical discharge from the brain neurons. The pathogenesis of epilepsy is complex and remains elusive. Nowadays, drug therapy is the mainstay method for the treatment of epilepsy. More than 30 antiseizure drugs (ASDs) were approved for clinical use. Unfortunately, about 30% of patients still display pharmacoresistance against ASDs. The long-term use of ASDs may cause adverse effects, raise tolerability concerns, bring unexpected drug interactions, generate withdrawal symptoms, and increase the economic burden. Thus, the research uncovering more effective ASDs that are safe is still a difficult and urgent task. In this Perspective, we describe the pathogenesis, clinical trials, and drug therapy progress of epilepsy, focusing on summarizing the current situation of small-molecule drug candidates progressing in epilepsy therapy, which provides future directions for the development of more promising ASDs.

Nowadays, with the rapid development of the Internet, mobile education live broadcast has become the latest online education model under the "Internet + Education" model. This paper takes the "mobile education live broadcast platform" as the research object, and analyzes the characteristics of the mobile education live broadcast platform based on the present, and looks forward to the future development trend of the educational mobile live broadcast platform through the existing problems and development limitations of the mobile live broadcast platform.

ObjectiveDifferential diagnosis between epileptic seizures and psychogenic nonepileptic events (PNEEs) is a worldwide problem for neurologists. The present study aims to identify important characteristics from body fluid tests and develop diagnostic models based on them.MethodsThis is a register‐based observational study in patients with a diagnosis of epilepsy or PNEEs at West China Hospital of Sichuan University. Data from body fluid tests between 2009 and 2019 were used as a training set. We constructed models with a random forest approach in eight training subsets divided by sex and categories of tests, including electrolyte, blood cell, metabolism, and urine tests. Then, we collected data prospectively from patients between 2020 and 2022 to validate our models and calculated the relative importance of characteristics in robust models. Selected characteristics were finally analyzed with multiple logistic regression to establish nomograms.ResultsA total of 388 patients, including 218 with epilepsy and 170 with PNEEs, were studied. The AUROCs of random forest models of electrolyte and urine tests in the validation phase achieved 80.0% and 79.0%, respectively. Carbon dioxide combining power, anion gap, potassium, calcium, and chlorine in electrolyte tests and specific gravity, pH, and conductivity in urine tests were selected for the logistic regression analysis. C (ROC) of the electrolyte and urine diagnostic nomograms achieved 0.79 and 0.85, respectively.SignificanceThe application of routine indicators of serum and urine may help in the more accurate identification of epileptic and PNEEs.

No abstract

nmAP is an effective and safe remedy for treatment of Children's anorexia.