… into 6 states of functional network topology, each characterized by a combination of network
metrics. Our results showed that FC states with a lower mean functional connectivity, lower …

… analyzed these graph measures for … analyses of static and dynamic functional connectivity
for the application of lateralizing TLE patients. We proposed graph-based quantitative metrics …

… Rather, it should be treated as lack of linear time-dependence only. This could imply that
there may still be dependencies between these BOLD signals, that are not captured well by …

… brain function as structural and functional connectivity networks … Our ability to discover
functional network structure has become … Though estimators of these undirected measures can be …

… metrics is still an open issue in imaging studies, the graph-… We observed a global
fragmentation of the functional network … from complex network analyses, such as graph theory, a …

… Functional connectivity (FC) and brain network metrics were quantified using Pearson’s
correlation coefficients and graph theory analysis (… By examining the time dependence on FC for …

… Secondly, the graph theory and features are presented and then the ER method and …
Graph measures can be computed over the FC matrices that show the integration and …

… uses graph theory and applies network analysis to obtain time courses of graph measures,
… Indeed, our dFC analysis showed patterns and time dependence of associations that might …

… In this paper we investigate the importance of the choice of metric on the space of graphs to
… This study also reveals that a careful encoding of the dynamic functional connectivity allows …

… [30] used a Bayesian HMM to estimate the dynamic structure of graph theoretical measures
of whole-brain FC. Also, HMMs have been employed in time-varying vector autoregressive (…