OVERVIEW
Researchers from UT Dallas and Erasmus University Rotterdam analyzed brain imaging data from 395 adults ranging in age from 18 to 55 years, drawn from four research sites across the United States and the Netherlands. Of these participants, 223 were current weekly cannabis users and 172 were non-using controls. Depression symptoms were measured using the Beck Depression Inventory (BDI-II), capturing a spectrum from minimal to severe levels across both groups. Using advanced brain imaging (resting-state fMRI) and graph theory analysis — a powerful method for mapping the brain's communication networks — researchers discovered that cannabis users showed measurably more integrated and efficient brain network function compared to non-users. However, this effect was significantly diminished when depression symptoms entered the picture.“”

EXCERPT from Fig. 3: The interaction between depression symptoms and cannabis group on local graph measures of frontoparietal network (FPN) and subcortical network (SCN) (without FDR correction). PICTURED: A. and B. Depression symptoms moderated the effect of group on local efficiency of FPN and SCN, respectively. NOT PICTURED: C. and D. Depression symptoms moderated the effects of group on clustering coefficient of SCN.




