Periodic and Aperiodic EEG Activity in Cognitive Tasks: A Scalp Topography Study

This study investigates the correlation between electrical activity patterns in various brain regions during an information-integration task using electroencephalography (EEG). EEG recordings were analyzed to find both periodic activity, in this case, Alpha power, and aperiodic activity, which is usually considered background noise. The study found that Alpha power was most prominent in the posterior regions of the brain, while aperiodic activity was most prominent in the anterior regions. Using an open EEG dataset and multiple Python packages, the study includes multiple scalp topography maps and violin plots to visualize the data. The results indicate the importance of considering both aperiodic and periodic activity in the brain during different cognitive functions, supporting previous findings about neural excitation and inhibition.