Independent component analysis is a probabilistic method for learning a linear transform of
a random vector. The goal is to find components that are maximally independent and non …

This short survey the reviews recent literature on brain connectivity studies. It encompasses
all forms of static and dynamic connectivity whether anatomical, functional, or effective. The …

The increase in spatiotemporal resolution of neuroimaging devices is accompanied by a
trend towards more powerful multivariate analysis methods. Often it is desired to interpret the …

We review the theory and algorithms of electrophysiological brain connectivity analysis. This
tutorial is aimed at providing an introduction to brain functional connectivity from …

As the EEG inverse problem does not have a unique solution, the sources reconstructed
from EEG and their connectivity properties depend on forward and inverse modeling …

The brain consists of functional units with more-or-less specific information processing
capabilities, yet cognitive functions require the co-ordinated activity of these spatially …

Information flow between brain areas is difficult to estimate from EEG measurements due to
the presence of noise as well as due to volume conduction. We here test the ability of …

Many different analysis techniques have been developed and applied to EEG recordings
that allow one to investigate how different brain areas interact. One particular class of …

Because of the increasing portability and wearability of noninvasive electrophysiological
systems that record and process electrical signals from the human brain, automated systems …

Due to its high temporal resolution, electroencephalography (EEG) is widely used to study
functional and effective brain connectivity. Yet, there is currently a mismatch between the …