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 …

Brain connectivity can be modeled and quantified with a large number of techniques. The
main objective of this paper is to present the most modern and widely established …

Recent research has reached a consensus on the feasibility of motor imagery brain-
computer interface (MI-BCI) for different applications, especially in stroke rehabilitation. Most …

Stroke is one of the leading causes of death and disability. Despite the high prevalence of
stroke, characterizing the acute neural recovery patterns that follow stroke and predicting …

Electroencephalography (EEG) remains an essential tool, characterized by an excellent
temporal resolution and offering a real window on cerebral functions. Surface EEG signals …

In neuroscience, there is considerable current interest in investigating the connections
between different parts of the brain. EEG is one modality for examining brain function, with …

Autism spectrum disorders (ASD) are thought to be associated with abnormal neural
connectivity. Presently, neural connectivity is a theoretical construct that cannot be easily …

Epilepsy is one of the most common neurological diseases and the most common
neurological chronic disease in childhood. Electroencephalography (EEG) still remains one …

Synchronization behavior of electroencephalographic (EEG) signals is important for
decoding information processing in the human brain. Modern multichannel EEG allows a …

Considerable efforts have been made in order to predict seizures. Among these methods,
the ones that quantify synchronization between brain areas, are the most important methods …