Detecting drowsiness in drivers, especially multi-level drowsiness, is a difficult problem that
is often approached using neurophysiological signals as the basis for building a reliable …

Oscillatory neuronal activity may provide a mechanism for dynamic network coordination.
Rhythmic neuronal interactions can be quantified using multiple metrics, each with their own …

The intracerebral local field potential (LFP) is a measure of brain activity that reflects the
highly dynamic flow of information across neural networks. This is a composite signal that …

Among the different brain imaging techniques, electroencephalography (EEG) is classically
considered as having an excellent temporal resolution, but a poor spatial one. Here, we …

Since its beginnings in the early 20th century, the psychophysiological study of human brain
function has included research into the spectral properties of electrical and magnetic brain …

The brain can be regarded as a network: a connected system where nodes, or units,
represent different specialized regions and links, or connections, represent communication …

Understanding how different areas of the human brain communicate with each other is a
crucial issue in neuroscience. The concepts of structural, functional and effective …

Electroencephalogram (EEG) and magnetoencephalogram (MEG) recordings during resting
state are increasingly used to study functional connectivity and network topology. Moreover …

Synchronous rhythms represent a core mechanism for sculpting temporal coordination of
neural activity in the brain-wide network. This review focuses on oscillations in the cerebral …

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