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

It has been nearly 10 years since Ghazanfar and Schroeder (2006) proposed that the
neocortex is essentially multisensory in nature. However, it is only recently that sufficient and …

Slow-wave sleep is the deep non-rapid eye-movement (NREM) sleep stage that is most
relevant for the recuperative function of sleep. Its defining property is the presence of slow …

In this paper, we present a multivariate approach to analyze multi-channel event-related
potential (ERP) data using randomization statistics. The MATLAB-based open source …

Microstate analysis applied to electroencephalographic signals (EEG) allows both temporal
and spatial imaging exploration and represents the activity across the scalp. Despite its …

Learning while asleep is a dream of mankind, but is often deemed impossible because
sleep lacks the conscious awareness and neurochemical milieu thought to be necessary for …

Alzheimer's disease (AD) pathological changes may begin up to decades earlier than the
appearance of the first symptoms of cognitive decline. Subjective cognitive decline (SCD) …

In ERP and other large multidimensional neuroscience data sets, researchers often select
regions of interest (ROIs) for analysis. The method of ROI selection can critically affect the …

Schizophrenia is a complex psychiatric disorder and many of the factors contributing to its
pathogenesis are poorly understood. In addition, identifying reliable neurophysiological …

Theta oscillations (spectral power and connectivity) are sensitive to the social content of an
experience in typically developing infants, providing a possible marker of early social brain …