ADHD is a common neurodevelopmental disorder in children and often co-occurs with other mental disorders, making accurate diagnosis crucial.
The study investigates the electrical activity of the brain in children with ADHD using long-range video EEG monitoring and deep learning algorithms to enhance diagnosis accuracy.
The findings suggest that long-term video EEG can effectively analyze brain activity patterns associated with ADHD, offering a potential diagnostic tool for better identification of the disorder.