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 …

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 …

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 …

Resting-state EEG microstates are brief (50–100 ms) periods, in which the spatial
configuration of scalp global field power remains quasi-stable before rapidly shifting to …

Schizophrenia is a chronic and debilitating illness that includes a wide range of emotional,
social, and cognitive disorders associated with impaired performance. It affects more than 21 …

Artificial Intelligence in healthcare employs machine learning algorithms to emulate human
cognition in the analysis of complicated or large sets of data. Specifically, artificial …

The brain, as a complex dynamically distributed information processing system, involves the
coordination of large-scale brain networks such as neural synchronization and fast brain …

Evidence suggests that the stream of consciousness is parsed into transient brain states
manifesting themselves as discrete spatiotemporal patterns of global neuronal activity …

To reduce the psycho-social burden increasing attention has focused on brain abnormalities
in the most prevalent and highly co-occurring neuropsychiatric disorders, such as mood and …