Exploring the role of multivariate associations between brain networks and gut microbiota in (food) value-based decision-making

Exploring the intricate relationship between brain networks, gut microbiota, and food value-based decision-making is a crucial area of research. The study delves into how stress and negative emotions can influence these processes, increasing the risk of overeating high-calorie, ultra-processed foods and potentially exacerbating obesity.

However, not all individuals display such behavioral shifts under stress, emphasizing the need to identify modulating factors that account for inter-individual variability. Emerging research suggests that alterations in gut microbiota, induced by anxiety or stress, could alter reward sensitivity through the gut-brain axis. To better understand these complex interconnections, a novel framework is proposed, linking microbiota, neural, and affective processes.

Utilizing a method called supervised linked independent component analysis (Super- BigFLICA), the researchers examined multivariate gut-brain latent components guided by affective and body composition indexes in a large cohort of 592 healthy participants from the Healthy Brain Study. By employing general linear models, the study identified a multimodal component that predicted both elevated unhealthy food valuation and choice in a food auction task.

This component was marked by simultaneous changes in specific gut bacterial genera, such as UCG-010 and DTU089, distinct connectivity patterns between reward-related brain regions like the nucleus accumbens and caudate, and a strong association with heightened anxiety sensitivity, life-event impact, and body mass index. These findings not only showcase the potential of combining gut-brain data for behavior prediction but also introduce a novel phenotype that ties together microbiota composition, brain function, and emotional state, warranting further exploration.