Time-resolved detection of stimulus/task-related networks, via clustering of transient intersubject synchronization.

ABSTRACT: Several methods are available for the identification of functional networks of brain areas using functional magnetic resonance imaging (fMRI) time-series. These typically assume a fixed relationship between the signal of the areas belonging to the same network during the entire time-series (e.g., positive correlation between the areas belonging to the same network), or require a priori information about when this relationship may change (task-dependent changes of connectivity). We present a fully data-driven method that identifies transient network configurations that are triggered by the external input and that, therefore, include only regions involved in stimulus/task processing. Intersubject synchronization with short sliding time-windows was used to identify if/when any area showed sti

SUBMITTER: Bordier C 

PROVIDER: S-EPMC5008218 | biostudies-literature | 2015 Sep

REPOSITORIES: biostudies-literature