The mean-variance relationship reveals two possible strategies for dynamic brain connectivity analysis in fMRI.

ABSTRACT: When studying brain connectivity using fMRI, signal intensity time-series are typically correlated with each other in time to compute estimates of the degree of interaction between different brain regions and/or networks. In the static connectivity case, the problem of defining which connections that should be considered significant in the analysis can be addressed in a rather straightforward manner by a statistical thresholding that is based on the magnitude of the correlation coefficients. More recently, interest has come to focus on the dynamical aspects of brain connectivity and the problem of deciding which brain connections that are to be considered relevant in the context of dynamical changes in connectivity provides further options. Since we, in the dynamical case, are interested i

SUBMITTER: Thompson WH 

PROVIDER: S-EPMC4500903 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature