Recent studies invoke the superiority of the multivariate Total Correlation concept over the
conventional pairwise measures of functional connectivity in biological networks. Those …

A recent study invoked the superiority of the Total Correlation concept over the conventional
pairwise measures of functional connectivity in neuroscience. That seminal work was …

Functional connectivity refers to shared signals among brain regions and is typically
assessed in a task free state. Functional connectivity commonly is quantified between signal …

Recent studies have identified large scale brain networks based on the spatio-temporal
structure of spontaneous fluctuations in resting-state fMRI data. It is expected that functional …

Graph theory is a useful tool for deciphering structural and functional networks of the brain
on various spatial and temporal scales. The clustering coefficient quantifies the abundance …

Recent studies proposed the use of Total Correlation to describe functional connectivity
among brain regions as a multivariate alternative to conventional pairwise measures such …

Discovering functional connectivity between and within brain regions is a key concern in
neuroscience. Due to the noise inherent in fMRI data, it is challenging to characterize the …

Neural activity in mammalian brains exhibits large spontaneous fluctuations whose structure
reveals the intrinsic functional connectivity of the brain on many spatial and temporal scales …

Sliding-window correlation is an emerging method for mapping time-resolved, resting-state
functional connectivity. To avoid mapping spurious connectivity fluctuations (false positives) …

Brain functional connectivity has gained increasing interest over the last few years. The
application of Graph Theory on functional connectivity networks (FCNs) has shed light into …