Cited by 99Anxiety, Depression, Psychometrics, Treatment, Cognitive ProcessesNeural and Behavioral Psychology StudiesMemory and Neural Mechanisms

State anxiety biases estimates of uncertainty and impairs reward learning in volatile environments

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Hein, Thomas P., de Fockert, Jan, Ruiz, Maria Herrojo·2021·NeuroImage

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Abstract

Clinical and subclinical (trait) anxiety impairs decision making and interferes with learning. Less understood are the effects of temporary anxious states on learning and decision making in healthy populations, and whether these can serve as a model for clinical anxiety. Here we test whether anxious states in healthy individuals elicit a pattern of aberrant behavioural, neural, and physiological responses comparable with those found in anxiety disorders-particularly when processing uncertainty in unstable environments. In our study, both a state anxious and a control group learned probabilistic stimulus-outcome mappings in a volatile task environment while we recorded their electrophysiological (EEG) signals. By using a hierarchical Bayesian model of inference and learning, we assessed the effect of state anxiety on Bayesian belief updating with a focus on uncertainty estimates. State anxiety was associated with an underestimation of environmental uncertainty, and informational uncertainty about the reward tendency. Anxious individuals' beliefs about reward contingencies were more precise (had smaller uncertainty) and thus more resistant to updating, ultimately leading to impaired reward-based learning. State anxiety was also associated with greater uncertainty about volatility. We interpret this pattern as evidence that state anxious individuals are less tolerant to informational uncertainty about the contingencies governing their environment and more willing to be uncertain about the level of stability of the world itself. Further, we tracked the neural representation of belief update signals in the trial-by-trial EEG amplitudes. In control participants, lower-level precision-weighted prediction errors (pwPEs) about reward tendencies were represented in the ERP signals across central and parietal electrodes peaking at 496 ms, overlapping with the late P300 in classical ERP analysis. The state anxiety group did not exhibit a significant representation of low-level pwPEs, and there were no significant differences between the groups. Smaller variance in low-level pwPE about reward tendencies in state anxiety could partially account for the null results. Expanding previous computational work on trait anxiety, our findings establish that temporary anxious states in healthy individuals impair reward-based learning in volatile environments, primarily through changes in uncertainty estimates, which play a central role in current Bayesian accounts of perceptual inference and learning.

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Authors
Hein, T. P., de Fockert, J., & Ruiz, M. H.
Affiliations
Goldsmiths University of London (GB)
Venue
NeuroImage
Publisher
Elsevier BV
Published
2021-01
Volume
224
Pages
117424
ISSN
1053-8119 (ISSN-L)
OpenAlex
W3092468362
Cited by
99
References
31
Citations by year
2026: 12 · 2025: 27 · 2024: 13 · 2023: 16 · 2022: 21 · 2021: 7 · 2020: 2 · 2012: 1
FWCI
11.11
Type
journal article
Language
en
Open access
Locations
  • NeuroImage (publishedVersion, cc-by)
  • bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
  • Goldsmiths (University of London) (submittedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
  • National Research University Higher School of Economics
  • Economic and Social Research Council
Topics
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
Keywords
state anxiety, uncertainty estimation, reward learning, environmental volatility, Bayesian belief updating, prediction error, P300, EEG, probabilistic learning, information uncertainty
MeSH terms
Adolescent, Adult, Anxiety, Anxiety Disorders, Bayes Theorem, Decision Making, Electroencephalography, Environment, Evoked Potentials, Female, Humans, Learning, Male, Probability Learning, Reward, Uncertainty, Young Adult, Healthy Volunteers

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