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

Over the past decade there has been an enormous rise in the application of functional and
structural connectivity approaches to explore the brain's intrinsic organization in healthy and …

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

Using electroencephalography (EEG) to elucidate the spontaneous activation of brain
resting-state networks (RSNs) is nontrivial as the signal of interest is of low amplitude and it …

Spontaneous fluctuations are a hallmark of recordings of neural signals, emergent over time
scales spanning milliseconds and tens of minutes. However, investigations of intrinsic brain …

To provide an effective substrate for cognitive processes, functional brain networks should
be able to reorganize and coordinate on a sub-second temporal scale. We used …

Electroencephalogram microstates are recurrent scalp potential configurations that remain
stable for around 90 ms. The dynamics of two of the four canonical classes of microstates …

Schizophrenia (SZ) and bipolar disorder (BP) share significant overlap in clinical symptoms,
brain characteristics, and risk genes, and both are associated with dysconnectivity among …

Functional connectivity (FC) patterns in functional MRI exhibit dynamic behavior on the scale
of seconds, with rich spatiotemporal structure and limited sets of whole-brain, quasi-stable …

Fast fMRI enables the detection of neural dynamics over timescales of hundreds of
milliseconds, suggesting it may provide a new avenue for studying subsecond neural …