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 …

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

The first two decades of brain research using fMRI have been dominated by studies that
measure signal changes in response to a presented task. A rapidly increasing number of …

The brain is a complex dynamical system composed of many interacting sub-regions.
Knowledge of how these interactions reconfigure over time is critical to a full understanding …

The past few years have seen an emergence of approaches that leverage temporal changes
in whole-brain patterns of functional connectivity (the chronnectome). In this chronnectome …

Functional connectivity during the resting state has been shown to change over time (ie, has
a dynamic connectivity). However, resting‐state fluctuations, in contrast to task‐based …

Functional connectivity (FC) analysis is a prominent approach to analyzing fMRI data,
especially acquired under the resting state condition. The commonly used linear correlation …

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 …

The brain is a complex, multiscale dynamical system composed of many interacting regions.
Knowledge of the spatiotemporal organization of these interactions is critical for establishing …

Most studies of resting-state functional connectivity using fMRI employ methods that assume
temporal stationarity, such as correlation and data-driven decompositions computed across …