Trial reportScientific reports2020
Multiple Facets of Value-Based Decision Making in Major Depressive Disorder.
Trial report in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
20 citing papers in PubMed.
- When to quit: Calibration of voluntary persistence and attempted suicide in depression.Behaviour research and therapy · 2026Article
- Anticipatory pleasure as a key hedonic component in classifying major depressive disorder: multidimensional behavioral evidence from majority vote algorithm.BMC psychiatry · 2026Article
- Estrous cycle stage gates the effect of stress on reward learning.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026Article
- Investigating Sensorimotor Decision-Making in Depressed Individuals Using a Bayesian Approach.Computational psychiatry (Cambridge, Mass.) · 2026Article
- Exploring risky decision-making dynamics during antidepressant treatment in major depressive disorder: a computational modeling approach.BMC psychiatry · 2025Article
- Discrete Choice Experiment Versus Best-Worst Scaling: An Empirical Comparison in Eliciting Young People's Preferences for Web-Based Mental Health Interventions.The patient · 2025Article
- Lesions to Different Regions of the Frontal Cortex Have Dissociable Effects on Voluntary Persistence in Humans.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Adolescent neurocognitive development and decision-making abilities regarding gender-affirming care.Developmental cognitive neuroscience · 2024Review
- Effects of reproductive experience on cost-benefit decision making in female rats.Frontiers in behavioral neuroscience · 2024Article
- Leveraging Decision Science to Characterize Depression.Current directions in psychological science · 2023Article
- Lesions to different regions of frontal cortex have dissociable effects on voluntary persistence.bioRxiv : the preprint server for biology · 2023Article
- Neural valuation of rewards and punishments in posttraumatic stress disorder: a computational approach.Translational psychiatry · 2023Article
- Sociocultural Moderators of Emotion Regulation in Family Members of the Critically Ill.Western journal of nursing research · 2022Article
- Approach motivation and loneliness: Individual differences and parasympathetic activity.Psychophysiology · 2022Article
- Mood-congruent negative thinking styles and cognitive vulnerability in depressed COVID-19 survivors: A comparison with major depressive disorder.Journal of affective disorders · 2022Article
- Inflammation-driven brain and gut barrier dysfunction in stress and mood disorders.The European journal of neuroscience · 2022Review
- Computational approaches to treatment response prediction in major depression using brain activity and behavioral data: A systematic review.Network neuroscience (Cambridge, Mass.) · 2022Article
- Circuit-Based Biomarkers for Mood and Anxiety Disorders.Trends in neurosciences · 2020Review
- Aberrant computational mechanisms of social learning and decision-making in schizophrenia and borderline personality disorder.PLoS computational biology · 2020Article
- Applying Reinforcement Learning to Rodent Stress Research.Chronic stress (Thousand Oaks, Calif.)Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Depression is clinically characterized by obvious changes in decision making that cause distress and impairment. Though several studies suggest impairments in depressed individuals in single tasks, there has been no systematic investigation of decision making in depression across tasks. We compare participants diagnosed with Major Depressive Disorder (MDD) (n = 64) to healthy controls (n = 64) using a comprehensive battery of nine value-based decision-making tasks which yield ten distinct measures. MDD participants performed worse on punishment (d = -0.54) and reward learning tasks (d = 0.38), expressed more pessimistic predictions regarding winning money in the study (d = -0.47) and were less willing to wait in a persistence task (d = -0.39). Performance on learning, expectation, and persistence tasks each loaded on unique dimensions in a factor analysis and punishment learning and future expectations each accounted for unique variance in predicting depressed status. Decision-making performance alone could predict depressed status out-of-sample with 72% accuracy. The findings are limited to MDD patients ranging between moderate to severe depression and the effects of medication could not be accounted for due to the cross sectional nature of the study design. These results confirm hints from single task studies that depression has the strongest effects on reinforcement learning and expectations about the future. Our results highlight the decision processes that are impacted in major depression, and whose further study could lead to a more detailed computational understanding of distinct facets of this heterogeneous disorder.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.