Evidence map›Paper›PMID 35757373›Full record

ArticleComputational psychiatry (Cambridge, Mass.)2022

The Computational and Neural Substrates of Ambiguity Avoidance in Anxiety.

Emma L Lawrance, Christopher R Gagne, Jill X O'Reilly, Janine Bijsterbosch, Sonia J Bishop

Abstract read
In one paragraph

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. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Understanding anxiety through uncertainty quantification.British journal of psychology (London, England : 1953) · 2026
    Article
  2. Article
  3. Review
  4. Review
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.

Emma L LawranceInstitute for Global Health Innovation, Imperial College London, Kensington, London SW7 2AZ, UK; Wellcome Centre for Integrative Neuroimaging, University of Oxford, FMRIB, John Radcliffe Hospital, Oxford, OX3 9DU, UK.ORCID 0000-0003-1343-3916
Christopher R GagneMax Planck Institute for Biological Cybernetics, Tübingen, DE.ORCID 0000-0003-2241-5285
Jill X O'ReillyWellcome Centre for Integrative Neuroimaging, University of Oxford, FMRIB, John Radcliffe Hospital, Oxford, OX3 9DU, UK; Department of Experimental Psychology, University of Oxford, Anna Watts Building, Radcliffe Observatory Quarter, Woodstock Rd, Oxford OX2 6HG, US; Donders Centre for Cognition, Donders Institute, Montessorilaan 3, 6525 HR Nijmegen, NL.ORCID 0000-0002-6998-455X
Janine BijsterboschDepartment of Radiology, Washington University School of Medicine, St. Louis, MO, USA.ORCID 0000-0002-1385-9178
Sonia J BishopDepartment of Psychology, UC Berkeley, Berkeley, California 94720, USA; Helen Wills Neuroscience Institute, UC Berkeley, Berkeley, California 94720, USA.ORCID 0000-0001-7833-3030

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
Neurocognitive Mechanisms of Trait Vulnerability to Human AnxietyR01MH091848 · NIMH · UNIVERSITY OF CALIFORNIA BERKELEY · PI BISHOP, SONIA JANE · 2010 to 2014
$2.1M
Medical Research Council MR/L019639/1Medical Research Council MR/T031344/1NIMH NIH HHS R01 MH091848NIMH NIH HHS R01 MH122558NIMH NIH HHS R01 MH124108Wellcome Trust
6 · The paper itself

Abstract

Theoretical accounts have linked anxiety to intolerance of ambiguity. However, this relationship has not been well operationalized empirically. Here, we used computational and neuro-imaging methods to characterize anxiety-related differences in aversive decision-making under ambiguity and associated patterns of cortical activity. Adult human participants chose between two urns on each trial. The ratio of tokens ('O's and 'X's) in each urn determined probability of electrical stimulation receipt. A number above each urn indicated the magnitude of stimulation that would be received if a shock was delivered. On ambiguous trials, one of the two urns had tokens occluded. By varying the number of tokens occluded, we manipulated the extent of missing information. At higher levels of missing information, there is greater second order uncertainty, i.e., more uncertainty as to the probability of pulling a given type of token from the urn. Adult human participants demonstrated avoidance of ambiguous options which increased with level of missing information. Extent of 'information-level dependent' ambiguity aversion was significantly positively correlated with trait anxiety. Activity in both the dorsal anterior cingulate cortex and inferior frontal sulcus during the decision-making period increased as a function of missing information. Greater engagement of these regions, on high missing information trials, was observed when participants went on to select the ambiguous option; this was especially apparent in high trait anxious individuals. These findings are consistent with individuals vulnerable to anxiety requiring greater activation of frontal regions supporting rational decision-making to overcome a predisposition to engage in ambiguity avoidance at high levels of missing information.

Indexed as

ambiguityanxietycomputational modelingfmriprobabilistic decision-makinguncertainty

Identifiers

PMID35757373
PMCPMC9223033

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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.