Fig. 3.

The connectivity-defined candidate language network generalizes across data acquired in different task states. Functional connectivity reliably defined the candidate language network across 3 distinct tasks, showing that the presence of the network is not dependent on a specific cognitive context (see text for task descriptions). Note that the location of the seed region (○) was optimized for each data set to show that the topography of the network is stable despite minor differences in functional shifts that might occur due to task context. Note also that the optimal seed location can vary across data sets even when collected during the same task context (see examples of within-state variance in 3rd supplemental figure in Braga and Buckner 2017 and 3rd figure in Braga et al. 2019b). z(r), Fisher’s r-to-z transformed Pearson’s product-moment correlations.