Schizophrenia is a heterogeneous mental disorder with unknown etiology or pathological
characteristics. Microstate analysis of the electroencephalogram (EEG) signal has shown …

Electroencephalographic (EEG) microstates can provide a unique window into the temporal
dynamics of large‐scale brain networks across brief (millisecond) timescales. Here, we …

Alterations of resting-state EEG microstates have been associated with various neurological
disorders and behavioral states. Interestingly, age-related differences in EEG microstate …

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

Narcolepsy is a chronic sleep disorder caused by a loss of hypocretin-1 producing neurons
in the hypothalamus. Previous neuroimaging studies have investigated brain function in …

Background Disturbed functional connectivity is assumed to underlie neurocognitive deficits
in patients with schizophrenia. As neurocognitive deficits are already present in the high-risk …

Purpose Quasi-stable electrical distribution in EEG called microstates could carry useful
information on the dynamics of large scale brain networks. Using machine learning …

EEG microstate analysis is an approach to study brain states and their fast transitions in
healthy cognition and disease. A key limitation of conventional microstate analysis is that it …

Abstract+ microstate is a MATLAB toolbox for brain functional microstate analysis. It builds
upon previous EEG microstate literature and toolboxes by including algorithms for source …

Electroencephalogram (EEG) microstates that represent quasi‐stable, global neuronal
activity are considered as the building blocks of brain dynamics. Therefore, the analysis of …