Dynamic coherence analysis of resting fMRI data to jointly capture state-based phase, frequency, and time-domain information.

ABSTRACT: Many approaches for estimating functional connectivity among brain regions or networks in fMRI have been considered in the literature. More recently, studies have shown that connectivity which is usually estimated by calculating correlation between time series or by estimating coherence as a function of frequency has a dynamic nature, during both task and resting conditions. Sliding-window methods have been commonly used to study these dynamic properties although other approaches such as instantaneous phase synchronization have also been used for similar purposes. Some studies have also suggested that spectral analysis can be used to separate the distinct contributions of motion, respiration and neurophysiological activity from the observed correlation. Several recent studies have merged a

SUBMITTER: Yaesoubi M 

PROVIDER: S-EPMC4589498 | biostudies-literature | 2015 Oct

REPOSITORIES: biostudies-literature