Detection of functional brain network reconfiguration during task-driven cognitive states.

ABSTRACT: Network science offers computational tools to elucidate the complex patterns of interactions evident in neuroimaging data. Recently, these tools have been used to detect dynamic changes in network connectivity that may occur at short time scales. The dynamics of fMRI connectivity, and how they differ across time scales, are far from understood. A simple way to interrogate dynamics at different time scales is to alter the size of the time window used to extract sequential (or rolling) measures of functional connectivity. Here, in n=82 participants performing three distinct cognitive visual tasks in recognition memory and strategic attention, we subdivided regional BOLD time series into variable sized time windows and determined the impact of time window size on observed dynamics. Specifical

SUBMITTER: Telesford QK 

PROVIDER: S-EPMC5133201 | biostudies-literature | 2016 Nov

REPOSITORIES: biostudies-literature