While neuroimaging studies typically collapse data from many subjects, brain functional
organization varies between individuals, and characterizing this variability is crucial for …

A central challenge for neuroscience lies in relating inter-individual variability to the
functional properties of specific brain regions. Yet, considerable variability exists in the …

Resting-state functional connectivity is typically modeled as the correlation structure of
whole-brain regional activity. It is studied widely, both to gain insight into the brain's intrinsic …

Linking human behavior to resting-state brain function is a central question in systems
neuroscience. In particular, the functional timescales at which different types of behavioral …

Brain network connectivity differs across individuals. For example, older adults exhibit less
segregated resting-state subnetworks relative to younger adults (Chan et al., 2014). It has …

Recent years have seen a surge of research on variability in functional brain connectivity
within and between individuals, with encouraging progress toward understanding the …

While many previous studies assumed the functional connectivity (FC) between brain
regions to be stationary, recent studies have demonstrated that FC dynamically varies …

Resting-state functional connectivity, as measured by functional magnetic resonance
imaging (fMRI), is often treated as a trait, used, for example, to draw inferences about …

A confluence of evidence indicates that brain functional connectivity is not static but rather
dynamic. Capturing transient network interactions in the individual brain requires a …

Recent developments in functional connectivity research have expanded the scope of
human neuroimaging, from identifying changes in regional activation amplitudes to detailed …