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 …

Since the operative definition given by CWJ Granger of an idea expressed by N. Wiener, the
Wiener-Granger causality (WGC) has been one of the most relevant concepts exploited by …

Objective Motor imagery (MI) is assumed to enhance poststroke motor recovery, yet its
benefits are debatable. Brain–computer interfaces (BCIs) can provide instantaneous and …

For decades, the main ways to study the effect of one part of the nervous system upon
another have been either to stimulate or lesion the first part and investigate the outcome in …

It is well known that EEG signals of Alzheimer's disease (AD) patients are generally less
synchronous than in age-matched control subjects. However, this effect is not always easily …

Information flow or information transfer the widely applicable general physics notion can be
rigorously derived from first principles, rather than axiomatically proposed as an ansatz. Its …

Transfer entropy (TE) is an information-theoretic measure which has received recent
attention in neuroscience for its potential to identify effective connectivity between neurons …

Despite the fact that essential tremor (ET) is the most prevalent movement disorder, the
underlying pathological mechanisms are not fully understood. There is accumulating …

This paper re-examines the definition of partial directed coherence (PDC) which was
recently introduced as a linear frequency-domain quantifier of the multivariate relationship …

Recently, methods have been developed to analyse couplings in dynamic systems. In the
field of medical analysis of complex cardiovascular and cardiorespiratory systems, there is …