Improved ADHD Diagnosis Using EEG Connectivity and Deep Learning through Combining Pearson Correlation Coefficient and Phase-Locking Value

Attention Deficit Hyperactivity Disorder (ADHD) is a widespread neurobehavioral disorder affecting children and adolescents, requiring early detection for effective treatment. EEG connectivity measures can reveal the interdependencies between EEG recordings, highlighting brain network patterns and functional behavior that improve diagnostic accuracy. This study introduces a novel ADHD diagnostic method by combining linear and nonlinear brain connectivity maps with an attention-based…

via https://pubmed.ncbi.nlm.nih.gov/39422820/?utm_source=no_user_agent&utm_medium=rss&utm_campaign=None&utm_content=1lqZ3NPYysePVKsoyz66mDSgu4veDGJwnUBS47TBQPoOuNZY5J&fc=None&ff=20241101021006&v=2.18.0.post9+e462414


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