Evidence map›Paper›PMID 42005977›Full record

ArticleComputational psychiatry (Cambridge, Mass.)2026

Anhedonic Traits Do Not Impair Performance in a 3-Arm Bandit Task.

Arjun Ramaswamy, Yumeya Yamamori, Umesh Vivekananda, Vladimir Litvak, Jonathan P Roiser

Abstract read
In one paragraph

Article in Computational psychiatry (Cambridge, Mass.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Arjun RamaswamyUCL Queen Square Institute of Neurology, London, UK.ORCID https://orcid.org/0000-0002-7173-1500
Yumeya YamamoriUCL Institute of Cognitive Neuroscience, London, UK.ORCID https://orcid.org/0000-0001-5508-7965
Umesh VivekanandaUCL Institute of Cognitive Neuroscience, London, UK.ORCID https://orcid.org/0000-0001-6116-2335
Vladimir LitvakUCL Queen Square Institute of Neurology, London, UK.ORCID https://orcid.org/0000-0001-8535-7452
Jonathan P RoiserUCL Institute of Cognitive Neuroscience, London, UK.ORCID https://orcid.org/0000-0001-8269-1228

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Anhedonia, a transdiagnostic symptom marked by diminished reward sensitivity, is often linked to impairments in reinforcement learning (RL). Standard tasks (e.g., the 4-arm bandit) can place substantial demands on participants and may blur valuation with other processes. We therefore adapted a three-arm bandit (3AB) task from Seymour et al. (2012), incorporating design features intended to lessen task demands (fewer options; denser feedback) while enabling separate estimation of reward and punishment learning rates and sensitivities. In an online sample pre-screened for anhedonia (N = 206; 111 anhedonic, 95 non-anhedonic), hierarchical Bayesian modelling using a four-parameter specification showed no credible group differences in reward learning rate, punishment learning rate, reward sensitivity, or punishment sensitivity; Bayes factors favoured the null (BF

Indexed as

3-arm banditAnhedoniaHierarchical Bayesian modellingOnline behavioural studyreinforcement learningreward and punishment sensitivity

Identifiers

PMID42005977
PMCPMC13089363

What OpenQuestion holds

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Registered trials

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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.