“…Of the myriad potential ways to analyze data from naturalistic paradigms, we restricted our approach here to functional connectivity because it can be applied equally to both resting-state and movie-watching data, providing a straightforward way to test for differences between conditions. However, analyses that exploit the presence of a time-locked “ground truth” in naturalistic paradigms, such as inter-subject representational similarity analysis ( Finn et al, 2020 ), an extension of the inter-subject correlation family of approaches ( Hasson et al, 2004 ; Nastase et al, 2019 ), might prove even more sensitive to trait-level variability in both normative ( van Baar et al, 2019 ) and clinical populations ( Hasson et al, 2009 ; Salmi et al, 2013 ; Byrge et al, 2015 ; Bolton et al, 2018 ; Salmi et al, 2020 ). Because these and other activation-based approaches (e.g., Venkatesh et al, 2020 ) allow us to interpret spatiotemporal activity patterns in the context of stimulus features, they open the door to models that are not only predictive ( what are the relationships between brain function and behavior), but also deepen our understanding of how and why individuals show distinct brain responses to the same information, and how this relates to trait-level phenotypes.…”