Temporal-specific roles of fractality in EEG signal of Alzheimer's disease

A growing number of nonlinear EEG studies have elucidated the reduced fractality in Alzheimer's disease (AD). However, despite the importance of studying EEG dynamics within physiologically relevant frequency ranges, far fewer studies have explored temporal-dependent fractal properties in AD. This study was aimed at assessing the temporal-scale specific fractal properties in AD using Higuchi's fractal algorithm. As a result, we found both enhanced and reduced fractality in a temporal-scale relevant manner. Our findings suggest that investigating temporal specific fractal properties in EEG might serve as a useful approach for characterizing neural basis of AD.