Dependency Network Analysis (DEPNA) Reveals Context Related Influence of Brain Network Nodes.

ABSTRACT: Communication between and within brain regions is essential for information processing within functional networks. The current methods to determine the influence of one region on another are either based on temporal resolution, or require a predefined model for the connectivity direction. However these requirements are not always achieved, especially in fMRI studies, which have poor temporal resolution. We thus propose a new graph theory approach that focuses on the correlation influence between selected brain regions, entitled Dependency Network Analysis (DEPNA). Partial correlations are used to quantify the level of influence of each node during task performance. As a proof of concept, we conducted the DEPNA on simulated datasets and on two empirical motor and working memory fMRI tasks.

SUBMITTER: Jacob Y 

PROVIDER: S-EPMC4895213 | biostudies-literature | 2016 Jun

REPOSITORIES: biostudies-literature