Investigating Brain Lobe Biomarkers to Enhance Dementia Detection Using EEG Data

Background Introduction Dementia is a global health issue that significantly impacts patients’ quality of life and places a substantial burden on healthcare systems. Alzheimer’s Disease (AD) and Frontotemporal Dementia (FTD) are two common types of dementia, and their overlapping symptoms make accurate diagnosis and targeted treatment development p...

Altered Cortical Information Interaction During Respiratory Events in Children with Obstructive Sleep Apnea-Hypopnea Syndrome

Altered Cortical Information Interaction During Respiratory Events in Children with Obstructive Sleep Apnea-Hypopnea Syndrome

Changes in Cerebral Cortical Information Interaction During Obstructive Sleep Apnea Hypopnea Syndrome in Children Background Introduction: Obstructive Sleep Apnea Hypopnea Syndrome (OSAHS) in children is a common sleep-disordered breathing condition characterized by repetitive partial or complete obstruction of the upper airway during sleep, often ...

Early Prediction of Drug-Resistant Epilepsy Using Clinical and EEG Features Based on Convolutional Neural Network

Research Background and Purpose Epilepsy is a spontaneous and severe neurological disorder characterized by recurrent seizures, affecting approximately 50 million people worldwide [1]. Despite recent advances in anti-seizure medications (ASMs), drug-resistant epilepsy (DRE) still affects 20% to 30% of epilepsy patients [1-3]. DRE patients face sign...