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 …

Resting-state electroencephalography (EEG) microstates reflect sub-second, quasi-stable
states of brain activity. Several studies have reported alterations of microstate features in …

Quasi-stable electrical fields in the EEG, called microstates carry information on the
dynamics of large scale brain networks. Using machine learning techniques, we explored …

Schizophrenia is a devastating disease with a prevalence of 1% in populations around the
world. Current diagnostic techniques of schizophrenia and high-risk population are based …

Objective: In young, first-episode, never-treated schizophrenics compared with controls,(a)
generally shorter durations of EEG microstates were reported (Koukkou et al., Brain Topogr …

Recently, an increasing number of researchers have endeavored to develop practical tools
for diagnosing patients with schizophrenia using machine learning techniques applied to …

Schizophrenia is a severe mental disorder associated with a wide spectrum of cognitive and
neurophysiological dysfunctions. Early diagnosis is still difficult and based on the …

Background Electroencephalographic (EEG) microstate analysis is a method of identifying
quasi-stable functional brain states (“microstates”) that are altered in a number of …

Introduction Resting-state EEG microstates are thought to reflect the momentary local states
and interactions of distributed neural networks in the brain. Several changes in resting-state …

In this paper, EEG signals of 20 schizophrenic patients and 20 age-matched control
participants are analyzed with the objective of determining the more informative channels …