… 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 …

… 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 …

… [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 (…

… group analysis between EO and EC of the four local activity metrics, the area with significant
difference varied greatly with TE. Collectively, these findings demonstrated that local metrics …

… The time dependence is dropped because instantaneous … Another advantage of
representing VANETs as graphs is that other graph centrality metrics can also be used in …

… of the brain functional network based on graph theory method … Brain functional connectivity
refers to the time dependence of … Classification accuracy was used as an evaluation metric for …

… At the graph theoretical level, FC networks have facilitated the … of the time dependence
and dynamics of functional networks, … Similarity measures were proposed in the past (see for …