Statistical Spectral and Coherence Analysis of Electroencephalography (EEG) Data: Neural Biomarkers of Attention Deficit Hyperactivity Disorder (ADHD)

Electroencephalography (EEG) is a non-invasive tool widely used for studying brain activity, offering high temporal resolution for real-time analysis of neural dynamics. This study investigates the neurophysiological underpinnings of Attention Deficit Hyperactivity Disorder (ADHD) through statistical spectral and coherence analysis of EEG data. By focusing on frequency bands, we identified distinct patterns in ADHD subjects, including increased beta and alpha power, reduced gamma activity, and altered connectivity in key brain regions. These findings underscore the potential of EEG-based biomarkers for improving ADHD diagnosis and treatment strategies.