Making group inferences using sparse representation of resting-state functional mRI data with application to sleep deprivation.

ABSTRACT: Past studies on drawing group inferences for functional magnetic resonance imaging (fMRI) data usually assume that a brain region is involved in only one functional brain network. However, recent evidence has demonstrated that some brain regions might simultaneously participate in multiple functional networks. Here, we presented a novel approach for making group inferences using sparse representation of resting-state fMRI data and its application to the identification of changes in functional networks in the brains of 37 healthy young adult participants after 36 h of sleep deprivation (SD) in contrast to the rested wakefulness (RW) stage. Our analysis based on group-level sparse representation revealed that multiple functional networks involved in memory, emotion, attention, and vigilance

SUBMITTER: Shen H 

PROVIDER: S-EPMC6867084 | biostudies-literature | 2017 Sep

REPOSITORIES: biostudies-literature