Eficiență neurală și instabilitate atențională în tulburarea de joc: analiza EEG și machine learning

This study examined occipital EEG patterns in 15 individuals with gaming disorder versus 15 controls during active mobile gaming, identifying spectral biomarkers including increased delta/theta power and decreased beta activity. Machine learning classification achieved 80% accuracy, suggesting altered attentional stability and neural habituation patterns in gaming disorder.