Summary: People who have recovered from depression often show reduced motivation to pursue rewards, choosing lower-effort options unless the incentives are substantial and very likely. Although mood symptoms may improve after recovery, subtle deficits in reward processing and decision-making can persist and may raise the risk of relapse.
Using computational modeling to analyze choices, researchers found that individuals with remitted depression frequently favor low-effort activities in everyday situations unless the potential reward is both large and highly certain. These findings point to specific motivational mechanisms that could be targeted in treatments to help sustain recovery and improve daily functioning.
Key Facts:
- Persistent motivational deficits: After recovery, many people remain less willing to expend effort for rewards unless those rewards are sizable and reliable.
- Relapse vulnerability: These lingering difficulties in motivation and reward processing may contribute to an increased risk of returning to depression.
- Potential treatment target: Enhancing sensitivity to rewards and improving decision-making about effort allocation may support longer-term recovery.
Source: Elsevier
New research shows that individuals who have recovered from major depressive disorder are generally less willing to exert effort to obtain rewards compared with people who have never experienced depression, unless the rewards are both large and highly probable.
A study published in Biological Psychiatry: Cognitive Neuroscience and Neuroimaging offers detailed evidence that subtle motivational impairments persist in unmedicated adults with remitted depression (rMDD). By combining behavioral tasks with computational approaches, the research clarifies how reward magnitude and certainty influence effort-based decision-making after recovery.
People with a history of depression face a higher likelihood of experiencing subsequent episodes. While clinical mood symptoms commonly remit, some cognitive and motivational difficulties—particularly in processing rewards—can remain, affecting everyday choices and the ability to fully resume normal activities.
The research team set out to uncover which hidden decision processes might underlie these residual deficits and how those processes could raise relapse risk or be modified to improve outcomes.
Lead investigator Diego A. Pizzagalli, PhD (formerly of the Center for Depression, Anxiety, and Stress Research, McLean Hospital, and Harvard Medical School), now Founding Director of the Noel Drury Institute for Translational Depression Discoveries at the University of California, Irvine, uses a relatable example: “Imagine deciding whether to meet a friend after work or stay home because going out feels too exhausting. Individuals with a history of depression may more often choose the less effortful option—missing social interactions and rewarding experiences. Repeatedly avoiding effortful activities could inadvertently reinforce patterns that increase relapse risk.”
The study compared two groups: adults with remitted major depressive disorder who were not taking antidepressant medication, and healthy control participants who had never had depression. Participants completed the Effort Expenditure for Rewards Task, choosing repeatedly between easier tasks with smaller rewards and harder tasks offering potentially larger rewards.
To limit confounding effects from medication, the study included only unmedicated individuals in remission. Researchers then applied computational analyses—including hierarchical drift diffusion modeling and subjective value modeling—to characterize how participants integrated reward size, probability, and effort cost when deciding.
Overall, people with remitted depression selected the high-effort option less often than healthy controls. However, that group showed a notable exception: when rewards were large and had a high probability of being delivered, they were equally or even more likely than controls to choose the effortful option. Computational modeling revealed that participants with remitted depression had a bias in decision dynamics favoring the low-effort choice, but this bias was counterbalanced by a stronger influence of reward magnitude and probability under high-value conditions.
These results suggest a nuanced picture: while motivation to engage in everyday effortful tasks may be blunted after recovery, sensitivity to substantial and certain rewards remains intact—or can even be heightened—allowing such incentives to overcome the tendency to avoid effort.
Cameron S. Carter, MD, Editor-in-Chief of Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, emphasizes that reduced motivation is central to depression. He notes that using the Effort Expenditure for Rewards Task helped reveal how individuals weigh benefits against effort, offering practical insight into motivational deficits in remitted depression and identifying conditions that can restore or boost motivation.
First author Manuel Kuhn, PhD, explains that applying advanced computational methods allowed the team to expose latent decision-making processes—how people combine information about reward magnitude, probability, and effort cost—that standard analyses might miss. By pinpointing these mechanisms, the study identifies promising intervention targets to enhance reward responsiveness and effort allocation, which could help prevent relapse and support sustained recovery.
About this depression and motivation research news
Author: Eileen Leahy
Source: Elsevier
Contact: Eileen Leahy – Elsevier
Image: The image is credited to Neuroscience News
Original Research: Open access. “Computational Phenotyping of Effort-Based Decision Making in Unmedicated Adults with Remitted Depression” by Diego A. Pizzagalli et al., Biological Psychiatry: Cognitive Neuroscience and Neuroimaging.
Abstract
Computational Phenotyping of Effort-Based Decision Making in Unmedicated Adults with Remitted Depression
Background
Reduced motivation is a hallmark of major depressive disorder (MDD), but it is unclear how much this deficit persists after remission. This study examined effort-based decision making as a specific aspect of amotivation in remitted MDD (rMDD), using computational phenotyping to detail underlying decision processes and strategies.
Methods
Unmedicated adults with rMDD (n = 40) and healthy control participants (n = 68) completed the Effort Expenditure for Rewards Task. Repeated-measures analyses and computational models—including hierarchical drift diffusion modeling and subjective value modeling—were used to quantify decision dynamics across different reward magnitudes and probabilities.
Results
Compared with healthy controls, participants with rMDD chose the hard task less often overall, an effect that was reduced when accounting for levels of anhedonia. Notably, in conditions offering high rewards with high probability, participants with rMDD were more likely than controls to expend effort. Drift diffusion modeling indicated a drift rate bias toward selecting easy options in rMDD, but this was offset by a stronger influence of reward probability and magnitude. Subjective value modeling showed no group differences in basic decision strategies for using magnitude and probability information.
Conclusions
Together, these findings indicate that individuals with remitted depression exhibit persistent motivational deficits but maintain—or show increased—sensitivity to high-value, certain rewards, requiring larger or more reliable incentives to engage in effortful tasks. This pattern points to impairments in reward processing and effort-cost computation that may underlie motivational dysfunction. Targeting reward sensitivity and effort allocation in interventions could help reduce relapse risk and promote sustained recovery.