Brain connectivity analyses have conventionally relied on statistical relationship between
one-dimensional summaries of activation in different brain areas. However, summarizing
activation patterns within each area to a single dimension ignores the potential statistical
dependencies between their multi-dimensional activity patterns. Representational
Connectivity Analyses (RCA) is a method that quantifies the relationship between multi-
dimensional patterns of activity without reducing the dimensionality of the data. We consider …

Connectivity Analysis With Region of Interest-Specific Models Can Detect Transformation of
Information Across Region of Interests,” in the “Simulation Results.” The sentence
“Simulation results show that model-free RCA did not detect any connectivity between the
two ROIs (Figure 5A)” should read “Simulation results show that model-free RCA did not
detect any connectivity between the two ROIs (Figure 5B).” The publisher apologizes for this
mistake. The original article has been updated. Copyright© 2022 Frontiers Production Office …