Dynamic changes of spatial functional network connectivity in healthy individuals and schizophrenia patients using independent vector analysis.

ABSTRACT: Recent work on both task-induced and resting-state functional magnetic resonance imaging (fMRI) data suggests that functional connectivity may fluctuate, rather than being stationary during an entire scan. Most dynamic studies are based on second-order statistics between fMRI time series or time courses derived from blind source separation, e.g., independent component analysis (ICA), to investigate changes of temporal interactions among brain regions. However, fluctuations related to spatial components over time are of interest as well. In this paper, we examine higher-order statistical dependence between pairs of spatial components, which we define as spatial functional network connectivity (sFNC), and changes of sFNC across a resting-state scan. We extract time-varying components from he

SUBMITTER: Ma S 

PROVIDER: S-EPMC5061129 | biostudies-literature | 2014 Apr

REPOSITORIES: biostudies-literature