Introducing co-activation pattern metrics to quantify spontaneous brain network dynamics.

ABSTRACT: Recently, fMRI researchers have begun to realize that the brain's intrinsic network patterns may undergo substantial changes during a single resting state (RS) scan. However, despite the growing interest in brain dynamics, metrics that can quantify the variability of network patterns are still quite limited. Here, we first introduce various quantification metrics based on the extension of co-activation pattern (CAP) analysis, a recently proposed point-process analysis that tracks state alternations at each individual time frame and relies on very few assumptions; then apply these proposed metrics to quantify changes of brain dynamics during a sustained 2-back working memory (WM) task compared to rest. We focus on the functional connectivity of two prominent RS networks, the default-mode ne

SUBMITTER: Chen JE 

PROVIDER: S-EPMC4386757 | biostudies-literature | 2015 May

REPOSITORIES: biostudies-literature