A new paper on dynamic and static functional connectivity

We are pleased to announce that a new paper has been published in Network Neuroscience entitled Static and dynamic fMRI-derived functional connectomes represent largely similar information. The paper was co-authored with Alan Anticevic and John D. Murray from Yale University. The paper provides valuable insights into the comparison and interpretation of different functional connectivity approaches.

In this paper, we compared dynamic and static, as well as bivariate and multivariate functional connectivity methods. We assessed similarities between methods by directly comparing functional connectivity matrices, by comparing node centrality measures, and by comparing patterns of brain-behavior associations. The main conclusions were that the dynamic functional connectivity estimates represent information that is largely similar to that of the static functional connectivity. However, a significant difference was found between bivariate and multivariate methods.