Abstract The Electrophysiology Professional Interest Area (EPIA) and Global Brain
Consortium endorsed recommendations on candidate electroencephalography (EEG) …

Network science and graph theory applications have recently spread widely to help in
understanding how human cognitive functions are linked to neuronal network structure, thus …

In this paper, we explore the utility of resting-state EEG measures as potential biomarkers for
the detection and assessment of cognitive decline in mild cognitive impairment (MCI) and …

In young adults and children, the eyes-closed (EC) resting state is one of low EEG arousal,
with the change to eyes-open (EO) primarily involving an increase in arousal. We used this …

The individual alpha peak frequency (IAPF) of the human electroencephalography (EEG)
typically experiences slowing with increasing age. Despite this hallmark change, studies that …

Individual alpha frequency (IAF) is a promising electrophysiological marker of interindividual
differences in cognitive function. IAF has been linked with trait‐like differences in information …

Recent theoretical and empirical work has focused on the variability of network dynamics in
maturation. Such variability seems to reflect the spontaneous formation and dissolution of …

This manuscript is the second part of a two-part description of the current status of
understanding of the network function of the brain in health and disease. We start with the …

Brain activity is complex; a reflection of its structural and functional organization. Among
other measures of complexity, the fractal dimension is emerging as being sensitive to …

Objective Applying graph theory, we investigated how cortical sources small worldness (SW)
of resting EEG in eyes-closed/open (EC/EO) differs in amnestic mild cognitive impairment …