A growing body of clinical and cognitive neuroscience studies have adapted a broadband
EEG microstate approach to evaluate the electrical activity of large-scale cortical networks …

Social interactions require both the rapid processing of multifaceted socio-affective signals
(eg, eye gaze, facial expressions, gestures) and their integration with evaluations, social …

EEG microstates represent functional brain networks observable in resting EEG recordings
that remain stable for 40–120ms before rapidly switching into another network. It is assumed …

The ultrafast spatiotemporal dynamics of large-scale neural networks can be examined
using resting-state electroencephalography (EEG) microstates, representing transient …

Electroencephalography (EEG) allows recording of cortical activity at high temporal
resolution. Creating features useful for the analysis of the EEG recording can be …

Microstate analysis of resting-state EEG is a unique data-driven method for identifying
patterns of scalp potential topographies, or microstates, that reflect stable but transient …

Electroencephalography (EEG) signals can be analyzed in the temporal, spatial, or
frequency domains. Noise and artifacts during the data acquisition phase contaminate these …

Conscious experiences unify distinct phenomenological experiences that seem to be
continuously evolving. Yet, empirical evidence shows that conscious mental activity is …

Abstract Background Major Depressive Disorder (MDD) may exhibit impairments in
cognitive flexibility. This study investigated whether the cognitive flexibility deficits in MDD …

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