Connectome-wide brain signature during fast-food advertisement exposure predicts BMI at 2 years.

Abstract

Food advertisements target adolescents, contributing to weight gain and obesity. However, whether brain connectivity during those food advertisements can predict weight gain is unknown. Here, 121 adolescents [14.1 ± 1.0 years; 50.4% female; body mass index (BMI): 23.4 ± 4.8; 71.9% White] completed both a baseline fMRI paradigm viewing advertisements (unhealthy fast food, healthier fast food, and nonfood) and an anthropometric assessment 2 years later. We used connectome-based predictive modeling to derive brain networks that were associated with BMI both at baseline and the 2-year follow-up. During exposure to unhealthy fast-food commercials, we identified a brain network comprising high-degree nodes in the hippocampus, parahippocampal gyrus, and fusiform gyrus rich with connections to prefrontal and occipital nodes that predicted lower BMI at the 2-year follow-up (r = 0.17; P = .031). A similar network was derived from baseline BMI (n = 168; r = 0.34; P < .001). Functional connectivity networks during exposure to the healthier fast food (P = .152) and nonfood commercials (P = .117) were not significant predictors of 2-year BMI. Key brain regions in our derived networks have been previously shown to encode aspects of memory formation, visual processing, and self-control. As such, the integration of these regions may reflect a mechanism of adolescents' ability to exert self-control toward obesogenic food stimuli.