Evidence map›Paper›PMID 41004539›Full record

ArticlePLoS computational biology2025

Dual process impairments in reinforcement learning and working memory systems underlie learning deficits in physiological anxiety.

Jennifer D Senta, Sonia J Bishop, Anne G E Collins

Abstract read
In one paragraph

Article in PLoS computational biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

The trial behind it

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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

2 citing papers in PubMed.

  1. Article
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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

3 authors.

Jennifer D SentaHelen Wills Neuroscience Institute, University of California, Berkeley, California, United States of America.ORCID 0009-0007-4268-6003
Sonia J BishopHelen Wills Neuroscience Institute, University of California, Berkeley, California, United States of America.
Anne G E CollinsHelen Wills Neuroscience Institute, University of California, Berkeley, California, United States of America.

Funding

Computationally modeling individual differences in probabilistic decision-making across positive and negative valence domainsR01MH124108 · NIMH · UNIVERSITY OF CALIFORNIA BERKELEY · PI BISHOP, SONIA JANE · 2020 to 2024
$2.8M
Elucidating the relationship between decision-making under second-order uncertainty and dimensions of negative affect using computational modelingR01MH122558 · NIMH · UNIVERSITY OF CALIFORNIA BERKELEY · PI BISHOP, SONIA JANE · 2021 to 2025
$2.5M
NIMH NIH HHS R01 MH122558NIMH NIH HHS R01 MH124108
6 · The paper itself

Abstract

Anxiety has been robustly linked to deficits in frontal executive function including working memory (WM) and attentional control processes. However, although anxiety has also been associated with impaired performance on learning tasks, computational investigations of reinforcement learning (RL) impairment in anxiety have yielded mixed results. WM processes are known to contribute to learning behavior in parallel to RL processes and to modulate the effective learning rate as a function of load. However, WM processes have typically not been modeled in investigations of anxiety and RL. In the current study, we leveraged an experimental paradigm (RLWM) which manipulates the relative contributions of WM and RL processes in a reinforcement learning and retention task using multiple stimulus set sizes. Using a computational model of interactive RL and WM processes, we investigated whether individual differences in physiological or cognitive anxiety impacted task performance via deficits in RL or WM. Elevated physiological, but not cognitive, anxiety scores were strongly associated with worse performance during learning and retention testing across all set sizes. Computationally, higher physiological anxiety scores were significantly related to reduced learning rate and increased rate of WM decay. To highlight the importance of modeling WM contributions to learning, we considered the effect of fitting RL models without WM modules to the data. Here we found that reduced learning performance for higher physiological anxiety was at least partially misattributed to stochastic decision noise in 9 out of 10 RL-only models considered. These findings reveal a dual-process impairment in learning in anxiety that is linked to a more physiological than cognitive anxiety phenotype. More broadly, this work also points to the importance of accounting for the contribution of WM to RL when investigating psychopathology-related deficits in learning.

Indexed as

AnxietyReinforcement, PsychologyComputational BiologyComputer SimulationFemaleHumansLearningMaleMemory, Short-TermModels, PsychologicalYoung Adult

Identifiers

PMID41004539
PMCPMC12500139

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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.