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

Resting-state functional connectivity studies with fMRI showed that the brain is intrinsically
organized into large-scale functional networks for which the hemodynamic signature is …

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

Scaling temporal dynamics in functional MRI (fMRI) signals have been evidenced for a
decade as intrinsic characteristics of ongoing brain activity (Zarahn et al.,). Recently, scaling …

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 …

Brain functional connectivity measured by resting-state fMRI varies over multiple time scales,
and recurrent dynamic functional connectivity (dFC) states have been identified. These have …

Spontaneous activity observed with resting-state fMRI is used widely to uncover the brain's
intrinsic functional networks in health and disease. Although many networks appear modular …

Ongoing neuronal activity in the CNS waxes and wanes continuously across widespread
spatial and temporal scales. In the human brain, these spontaneous fluctuations are salient …

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

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