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 …

Introduction: Electrophysiological (EEG) abnormalities in subjects with schizophrenia have
been largely reported. In the last decades, research has shifted to the identification of …

EEG microstates represent functional brain networks observable in resting EEG recordings
that remain stable for 40–120ms before rapidly switching into another network. It is assumed …

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 …

Over the last decade, EEG resting-state microstate analysis has evolved from a niche
existence to a widely used and well-accepted methodology. The rapidly increasing body of …

Background Resting-state EEG microstates are thought to reflect brief activations of several
interacting components of resting-state brain networks. Surprisingly, we still know little about …

The large-scale electrophysiological events known as electroencephalographic microstates
provide an important window into the intrinsic activity of whole-brain neuronal networks. The …

Background: Recent studies have reported changes in the electroencephalograms (EEG) of
patients with major depressive disorder (MDD). However, little research has explored EEG …

Targeted treatments for fragile X syndrome (FXS) have frequently failed to show efficacy in
clinical testing, despite success at the preclinical stages. This has highlighted the need for …

The quantification of resting‐state electroencephalography (EEG) is associated with a
variety of measures. These include power estimates at different frequencies, microstate …