Exploring the Effects of Offline Paradigms and Feature Extraction Techniques on Performance of Motor Imagery Brain-Computer Interface: Longitudinal Pilot Study.

Motor Imagery (MI) Brain-Computer Interface (BCI) is a popular way of allowing disabled and healthy individuals to use brain signals to communicate with their environment, despite the technical and human factor challenges that affect MI BCI classification performance. This study explored the influence of paradigm choice and phase synchronization-based features on classification performance by comparing primary datasets to older supplemental datasets. Area Under the Curve (AUC) Receiver Operating Characteristics (ROC) curve was the metric for classification performance.

Functional Connectivity Analysis of Visually Evoked ERPs for Mild Cognitive Impairment: Pilot Study.

Mild cognitive impairment (MCI) is considered the early stage of Alzheimer's disease, characterized as mild memory loss. A novel method of functional connectivity (FC) analysis can be used to detect MCI before memory is significantly impaired allowing for preventative measures to be taken. FC examines interactions between EEG channels to grant insight on underlying neural networks and analyze the effects of MCI.

An overview of local anesthetics in over-the-counter products.

Over-the-counter (OTC) local anesthetics have historically been used to alleviate pain in several common conditions including toothache and sore throat. With a rise in chronic conditions and an aging population, there has been an increase in associated chronic pain-related disorders. Individuals with chronic pain often seek OTC treatments for quick and accessible pain relief.

Type 2 diabetes is associated with failure of non-operative treatment for sternoclavicular joint infection.

Background: A standardized treatment algorithm for sternoclavicular joint infection management is lacking in the literature. While major risk factors for sternoclavicular joint infection, including immunosuppression, rheumatoid arthritis, type 2 diabetes, indwelling catheters, and intravenous drug use have been identified, clear association with treatment outcome has not been established. As our safety net hospital treats a patient population with high incidence of intravenous drug use, we sought to identify risk factors associated with failure of non-operative management of sternoclavicular joint infection.