Today, neuroimaging techniques are frequently used to investigate the integration of
functionally specialized brain regions in a network. Functional connectivity, which quantifies …

It has become accepted in the neuroscience community that perception and performance
are quintessentially multisensory by nature. Using the full palette of modern brain imaging …

Brain-computer interfaces (BCI) are used in stroke rehabilitation to translate brain signals
into intended movements of the paralyzed limb. However, the efficacy and mechanisms of …

For over a century neuroscientists have debated the dynamics by which human cortical
language networks allow words to be spoken. Although it is widely accepted that Broca's …

Granger causality methods were developed to analyze the flow of information between time
series. These methods have become more widely applied in neuroscience. Frequency …

Given two time series, can one faithfully tell, in a rigorous and quantitative way, the cause
and effect between them? Based on a recently rigorized physical notion, namely, information …

Objective: The main obstacle in interpreting EEG/MEG data in terms of brain connectivity is
the fact that because of volume conduction, the activity of a single brain source can be …

Various methods have been proposed to characterize the functional connectivity between
nodes in a network measured with different modalities (electrophysiology, functional …

Independent component analysis (ICA) has been proven useful for suppression of artifacts
in EEG recordings. It involves separation of measured signals into statistically independent …

Reliability and validity are statistical concepts that are reviewed and then applied to the field
of quantitative electroencephalography (qEEG). The review of the scientific literature …