Magnetoencephalography has gained an increasing importance in systems neuroscience
thanks to the possibility it offers of unraveling brain networks at time-scales relevant to …

The human nervous system is one of the most complicated systems in nature. Complex
nonlinear behaviours have been shown from the single neuron level to the system level. For …

Reference electrode standardization technique (REST) has been increasingly
acknowledged and applied as a re-reference technique to transform an actual multi …

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 …

Objective. Several scalp EEG functional connectivity studies, mostly clinical, seem to
overlook the reference electrode impact. The subsequent interpretation of brain connectivity …

It is well known that attentional selection of relevant information relies on local
synchronization of alpha band neuronal oscillations in visual cortices for inhibition of …

Currently, average reference is one of the most widely adopted references in EEG and ERP
studies. The theoretical assumption is the surface potential integral of a volume conductor …

Dynamic causal modelling (DCM) has extended the understanding of brain network
dynamics in a variety of functional systems. In the motor system, DCM studies based on …

Most biological signals are non-Gaussian, reflecting their origins in highly nonlinear
physiological systems. A versatile set of techniques for studying non-Gaussian signals relies …

Functional connectivity (FC) characterizes brain activity from a multivariate set of N brain
signals by means of an NxN matrix A, whose elements estimate the dependence within each …