Alzheimer's disease (AD) is the most common type of neurodegenerative disorder, typically
causing dementia along aging. AD is mainly characterized by a pathological extracellular …

Multivariate time series analysis is extensively used in neurophysiology with the aim of
studying the relationship between simultaneously recorded signals. Recently, advances on …

There is great interest in estimating brain “networks” from FMRI data. This is often attempted
by identifying a set of functional “nodes”(eg, spatial ROIs or ICA maps) and then conducting …

This paper introduces a new frequency-domain approach to describe the relationships
(direction of information flow) between multivariate time series based on the decomposition …

We consider the question of evaluating causal relations among neurobiological signals. In
particular, we study the relation between the directed transfer function (DTF) and the well …

It has become accepted in the neuroscience community that perception and performance
are quintessentially multisensory by nature. Using the full palette of modern brain imaging …

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 …

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 …

Physiological brain aging is characterized by a loss of synaptic contacts and neuronal
apoptosis that provokes age-dependant decline of sensory processing, motor performance …

Reliability and validity are statistical concepts that are reviewed and then applied to the field
of quantitative electroencephalography (qEEG). The review of the scientific literature …