Robb B. Rutledge

This study shows that SSRIs like citalopram enhance affect-reward coupling and improve mood over time by amplifying reward outcomes and prediction errors while reducing negative mood's impact on reward expectations.

This study identifies mood variability and responsiveness to recent events as markers of well-being using computational modeling and a mood modulation task.

The paper shows that apathy-anhedonia is linked to pessimistic beliefs but not reduced goal-directed planning, with enhanced performance in value-based decision-making tasks.

The paper shows that mood biases confidence in reward-based decision-making through altered learning of reward likelihood, with effects accumulating over time and amplified in individuals with hypomanic traits.

The paper tests a two-stage model of motive attribution (classify-refine) and examines the role of serotonin and racial bias in economic decision-making.

The paper introduces a computational model to measure the affective value of intrinsic and extrinsic rewards using neural data from a reinforcement learning task.

The paper shows that earlier experiences have a stronger influence on reported mood than recent events, using computational modeling and neural evidence.

The paper investigates age-related changes in motor decision-making by examining the role of Pavlovian biases in reward and punishment sensitivity across a large sample.