ArticleComputational psychiatry (Cambridge, Mass.)2022
Components of Behavioral Activation Therapy for Depression Engage Specific Reinforcement Learning Mechanisms in a Pilot Study.
Article in Computational psychiatry (Cambridge, Mass.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03538535 (Computational Modeling of Reinforcement Learning in Depression), which is not on this map. Cited by 7 papers.
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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.
Computational Modeling of Reinforcement Learning in Depression
Who cites it
7 citing papers in PubMed.
- Depression Severity Moderates Reward Learning Among Smokers With Current or Past Major Depressive Disorder in a Smoking Cessation Randomized Clinical Trial.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2024Trial
- Early reduction in aversive Pavlovian bias as a mediator of anhedonia improvement during Behavioural Activation in realistic treatment settings.PLoS computational biology · 2026Observational
- (Re)building Cooperation: Effects of a Cognitive Intervention on Cooperative Behaviour in Games.Computational psychiatry (Cambridge, Mass.) · 2026Article
- Individual differences in tail risk sensitive exploration using Bayes-adaptive Markov decision processes.eLife · 2025Article
- Different components of cognitive-behavioral therapy affect specific cognitive mechanisms.Science advances · 2024Article
- A Computational Model Reveals Learning Dynamics During Interpretation Bias Training With Clinical Applications.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2023Article
- Reduced effects of social feedback on learning in Turner syndrome.Scientific reports · 2023Article
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Authors and funding
5 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Background: Behavioral activation is an evidence-based treatment for depression. Theoretical considerations suggest that treatment response depends on reinforcement learning mechanisms. However, which reinforcement learning mechanisms are engaged by and mediate the therapeutic effect of behavioral activation remains only partially understood, and there are no procedures to measure such mechanisms. Objective: To perform a pilot study to examine whether reinforcement learning processes measured through tasks or self-report are related to treatment response to behavioral activation. Method: The pilot study enrolled 13 outpatients (12 completers) with major depressive disorder, from July of 2018 through February of 2019, into a nine-week trial with BA. Psychiatric evaluations, decision-making tests and self-reported reward experience and anticipations were acquired before, during and after the treatment. Task and self-report data were analysed by using reinforcement-learning models. Inferred parameters were related to measures of depression severity through linear mixed effects models. Results: Treatment effects during different phases of the therapy were captured by specific decision-making processes in the task. During the weeks focusing on the active pursuit of reward, treatment effects were more pronounced amongst those individuals who showed an increase in Pavlovian appetitive influence. During the weeks focusing on the avoidance of punishments, treatment responses were more pronounced in those individuals who showed an increase in Pavlovian avoidance. Self-reported anticipation of reinforcement changed according to formal RL rules. Individual differences in the extent to which learning followed RL rules related to changes in anhedonia. Conclusions: In this pilot study both task- and self-report-derived measures of reinforcement learning captured individual differences in treatment response to behavioral activation. Appetitive and aversive Pavlovian reflexive processes appeared to be modulated by separate psychotherapeutic interventions, and the modulation strength covaried with response to specific interventions. Self-reported changes in reinforcement expectations are also related to treatment response. Trial Registry Name: Set Your Goal: Engaging in GO/No-Go Active Learning, #NCT03538535, http://www.clinicaltrials.gov.
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