Heterogeneous appetite patterns in depression: computational modeling of nutritional interoception, reward processing, and decision-making.

ABSTRACT: Accurate interoceptive processing in decision-making is essential to maintain homeostasis and overall health. Disruptions in this process have been associated with various psychiatric conditions, including depression. Recent studies have focused on nutrient homeostatic dysregulation in depression for effective subtype classification and treatment. Neurophysiological studies have associated changes in appetite in depression with altered activation of the mesolimbic dopamine system and interoceptive regions, such as the insular cortex, suggesting that disruptions in reward processing and interoception drive changes in nutrient homeostasis and appetite. This study aimed to explore the potential of computational psychiatry in addressing these issues. Using a homeostatic reinforcement learning

SUBMITTER: Uchida Y 

PROVIDER: S-EPMC11683075 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature