The functional network approach, where fMRI BOLD time series are mapped to networks
depicting functional relationships between brain areas, has opened new insights into the …

Network science holds great promise for expanding our understanding of the human brain in
health, disease, development, and aging. Network analyses are quickly becoming the …

Functional connectivity (FC) in the brain has been shown to exhibit subtle but reliable
modulations within a session. One way of estimating time-varying FC is by using state-based …

When studying brain connectivity using fMRI, signal intensity time-series are typically
correlated with each other in time to compute estimates of the degree of interaction between …

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 …

Functional connectivity (FC) describes the statistical dependence between neuronal
populations or brain regions in resting-state fMRI studies and is commonly estimated as the …

Graph‐theoretical methods have rapidly become a standard tool in studies of the structure
and function of the human brain. Whereas the structural connectome can be fairly …

There have been many interpretations of functional connectivity and proposed measures of
temporal correlations between BOLD signals across different brain areas. These …

Purpose Multiple computational studies have demonstrated that essentially all current
analytical approaches to determine effective connectivity perform poorly when applied to …

Our brain is a network. It consists of spatially distributed, but functionally linked regions that
continuously share information with each other. Interestingly, recent advances in the …