IEEE

SLiTRANet: An EEG-Based Automated Diagnosis Framework for Major Depressive Disorder Monitoring Using a Novel LGCN and Transformer-Based Hybrid Deep Learning Approach

Abstract: Major depressive disorder (MDD) is a mental ailment marked by a loss of interest in activities, persistent depression, and hopelessness. MDD has been on the rise in society in recent decades ...
Medical Dialogues

Unified EEG imaging improves mapping for epilepsy surgery: Study

A new advance from Carnegie Mellon University researchers could reshape how clinicians identify the brain regions responsible ...

From 'chronocations' to 'neurosurfing', the travel trends set to rule 2026

From ditching the clock entirely to stepping inside our favourite films, here are the five trends redefining how (and why) we ...
IEEE

Deep Learning Approaches for EEG-Motor Imagery-Based BCIs: Current Models, Generalization Challenges, and Emerging Trends

Abstract: This study critically examines the evolution of deep learning (DL) for electroencephalogram (EEG) based motor imagery (MI) decoding with a focus on real-time Brain Computer Interfaces (BCIs) ...