Aversive Motivation and Cognitive Control: Neural, Monoaminergic, and Computational Mechanisms
Aversive motivation plays a prominent role in motivating individuals to exert cognitive control. However, a significant obstacle has been the complexity of behavioral responses attributed to aversive incentives. In this review, we posit that incorporating motivational context and mixed motivation will enhance our current understanding of the neural and computational mechanisms underpinning these interactions. We highlight how delineating whether aversive incentives facilitate negative reinforcement or punishment can inform dissociable neural pathways and computational mechanisms for cognitive control allocation. Additionally, we demonstrate how including multiple bundled incentives in experimental paradigms enables precise measurement of aversive influences on cognitive control. The lateral habenula and dorsal anterior cingulate cortex are featured as part of a broader neural circuit for aversive motivational value, and dopaminergic and serotonergic projections may guide dissociable strategies for cognitive control allocation. Finally, these motivational dimensions help generate normative predictions for divergent strategies for control allocation. In sum, incorporating these motivational dimensions will facilitate more sophisticated understanding of the neural, monoaminergic, and computational mechanisms of aversive motivation and cognitive control.