Resting-state functional magnetic resonance imaging (RFMRI) enables researchers to
monitor fluctuations in the spontaneous brain activities of thousands of regions in the human …

Efforts to identify meaningful functional imaging-based biomarkers are limited by the ability
to reliably characterize inter-individual differences in human brain function. Although a …

Research on functional connectomics of the human brain is exploding (Kelly et al., 2012;
Smith et al., 2013), especially for clinical and neurodevelopmental as well as aging studies …

Functional connectivity analysis has become a powerful tool for probing the human brain
function and its breakdown in neuropsychiatry disorders. So far, most studies adopted …

Recent years have witnessed an upsurge in the usage of resting-state functional magnetic
resonance imaging (fMRI) to examine functional connectivity (fcMRI), both in normal and …

Due to the dynamic, condition-dependent nature of brain activity, interest in estimating rapid
functional connectivity (FC) changes that occur during resting-state functional magnetic …

Individual differences in mind and behavior are believed to reflect the functional variability of
the human brain. Due to the lack of a large-scale longitudinal dataset, the full landscape of …

Task-free functional magnetic resonance imaging (TF-fMRI) has great potential for
advancing the understanding and treatment of neurologic illness. However, as with all …

Human functional MRI (fMRI) research primarily focuses on analyzing data averaged across
groups, which limits the detail, specificity, and clinical utility of fMRI resting-state functional …

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 …