other words, if there are many highly-modular, yet dissimilar, partitions, then we would expect the Louvain algorithm to return a diverse set of partitions; sometimes the algorithm would converge to one partition while other times it would converge to another. However, if the maximum modularity corresponds to only a small number of similar partitions, we expect the algorithm to find and converge to these few solutions. Thus, we can interpret the similarity measure as indicating the level of the degeneracy in the landscape of partitions. It is important to note that the use of Pearson’s correlation or other similar measures for estimating functional connectivity may make it easier for many connections to simultaneously become stronger or weaker than expected. This is a consequence of transitive correlations and the fact that functional connections are not independent of one another (Zalesky et al., 2012). In other words, if a small set of regions becomes more strongly or weakly correlated with one another, then other regions with which any of these regions are also correlated will likely experience a similar effect. This could potentially cause us to over- estimate the number of independent excursions at any time point and hence the size of mass excursions. Another important consideration is that excursion count might be driven by extraneous (or otherwise unwanted) factors, such as head motion (Power et al., 2012, 2014). To this end, we compared excursion count to the frame-wise displacement time series, which we processed in precisely the same way as the BOLD time series, so that the motion estimate at each time point was a weighted average of displacements that occurred within a window of time. We find no con- sistent group-level relationship between motion estimates and excursion counts when we aggregate these variables across all participants (Pearson’s correlation coefficients of r = 0 . 044 and r = 0 . 041 for frame-wise displacement measured as L1 and L2 norms from a reference volume). At the level of individual partici- 16