...from the analytical standpoint, a relevant question is how do we best integrate these data streams in order to achieve an interpretable finding? A straightforward approach that examines the univariate relationship between neuroimaging measures across populations may be the simplest way to start discovering the interplay among these indices. Since these initial findings, the same group applied this technique to a sample of patients experiencing psychosis,25 in whom they identified globally reduced morphometric similarity as well as reduced frontal and temporal and increased parietal morphometric similarity. ...they identified structure-function coupling associations with age (i.e., hierarchy-dependent age effect in the transmodal cortex) and executive performance (i.e., rostrolateral prefrontal cortex structure-function coupling associated with executive performance). ...it is important to acknowledge the increased time, accessibility, resources and expertise required for neuroimaging, additionally so for multimodal neuroimaging.