Electroencephalography (EEG) is a powerful method of studying the electrophysiology of the
brain with high temporal resolution. Several analytical approaches to extract information …

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

Recent findings identified electroencephalography (EEG) microstates as the
electrophysiological correlates of fMRI resting-state networks. Microstates are defined as …

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

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

In recent years, EEG microstate analysis has gained popularity as a tool to characterize
spatio-temporal dynamics of large-scale electrophysiology data. It has been used in a wide …

The brain is active even in the absence of explicit input or output as demonstrated from
electrophysiological as well as imaging studies. Using a combined approach we measured …

EEG microstate analysis offers a sparse characterisation of the spatio-temporal features of
large-scale brain network activity. However, despite the concept of microstates is straight …

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 …

EEG microstates, reflecting discrete topographical organization of the EEG signal power,
may have clinical relevance; however, their functional significance and test-retest reliability …