Characterizing directed functional pathways in the visual system by multivariate nonlinear coherence of fMRI data.

ABSTRACT: A multivariate measure of directed functional connectivity is used with resting-state fMRI data of 40 healthy subjects to identify directed pathways of signal progression in the human visual system. The method utilizes 4-nodes networks of mutual interacted BOLD signals to obtains their temporal hierarchy and functional connectivity. Patterns of signal progression were defined at frequency windows by appealing to a hierarchy based upon phase differences, and their significance was assessed by permutation testing. Assuming consistent phase relationship between neuronal and fMRI signals and unidirectional coupling, we were able to characterize directed pathways in the visual system. The ventral and dorsal systems were found to have different functional organizations. The dorsal system, partic

SUBMITTER: Goelman G 

PROVIDER: S-EPMC6218499 | biostudies-literature | 2018 Nov

REPOSITORIES: biostudies-literature