Stimulus Dependent Dynamic Reorganization of the Human Face Processing Network.

ABSTRACT: Using the "face inversion effect", a hallmark of face perception, we examined network mechanisms supporting face representation by tracking functional magnetic resonance imaging (fMRI) stimulus-dependent dynamic functional connectivity within and between brain networks associated with the processing of upright and inverted faces. We developed a novel approach adapting the general linear model (GLM) framework classically used for univariate fMRI analysis to capture stimulus-dependent fMRI dynamic connectivity of the face network. We show that under the face inversion manipulation, the face and non-face networks have complementary roles that are evident in their stimulus-dependent dynamic connectivity patterns as assessed by network decomposition into components or communities. Moreover, we

SUBMITTER: Rosenthal G 

PROVIDER: S-EPMC6059134 | biostudies-literature | 2017 Oct

REPOSITORIES: biostudies-literature