A growing body of clinical and cognitive neuroscience studies have adapted a broadband
EEG microstate approach to evaluate the electrical activity of large-scale cortical networks …

The present review discusses a well-established method for characterizing resting-state
activity of the human brain using multichannel electroencephalography (EEG). This method …

Using electroencephalography (EEG) to elucidate the spontaneous activation of brain
resting-state networks (RSNs) is nontrivial as the signal of interest is of low amplitude and it …

Electroencephalogram microstates are recurrent scalp potential configurations that remain
stable for around 90 ms. The dynamics of two of the four canonical classes of microstates …

The temporal structure of self-generated cognition is a key attribute to the formation of a
meaningful stream of consciousness. When at rest, our mind wanders from thought to …

Electroencephalography (EEG) microstate analysis is a method wherein spontaneous EEG
activity is segmented at sub-second levels to analyze quasi-stable states. In particular, four …

The dynamics of the resting brain exhibit transitions between a small number of discrete
networks, each remaining stable for tens to hundreds of milliseconds. These functional …

Neuroimaging studies have shown that major depressive disorder (MDD) is characterized
by abnormal neural activity and connectivity. However, hemodynamic imaging techniques …

Microstates reflect transient brain states resulting from the synchronous activity of brain
networks that predominate in the broadband EEG. There has been increasing interest in …

Microstate analysis is a spatiotemporal method where instantaneous scalp potential
topography represents the current state of the brain. The temporal evolution of these scalp …