Evidence map›Paper›PMID 32106245›Full record

ArticlePLoS computational biology2020

Doubting what you already know: Uncertainty regarding state transitions is associated with obsessive compulsive symptoms.

Isaac Fradkin, Casimir Ludwig, Eran Eldar, Jonathan D Huppert

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
1.7field-weighted citation impact, top 10% of its field
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

20 citing papers in PubMed, 32 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
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  9. Article
  10. The aesthetic valve: how aesthetic appreciation may switch emotional states from anxiety to curiosity.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
    Article
  11. Review
  12. Article
  13. How computational psychiatry can advance the understanding and treatment of obsessive-compulsive disorder.World psychiatry : official journal of the World Psychiatric Association (WPA) · 2023
    Article
  14. Hierarchical inference as a source of human biases.Cognitive, affective & behavioral neuroscience · 2023
    Article
  15. Article
  16. Atypical action updating in a dynamic environment associated with adolescent obsessive-compulsive disorder.Journal of child psychology and psychiatry, and allied disciplines · 2022
    Article
  17. Review
  18. Review
  19. Article
  20. Article
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

4 authors at 2 institutions in 2 countries.

Isaac FradkinThe Hebrew University of Jerusalem, Mount Scopus, Jerusalem, Israel.ORCID 0000-0002-6387-1941
Casimir LudwigSchool of Psychological Science, University of Bristol, Bristol, United Kingdom.
Eran EldarThe Hebrew University of Jerusalem, Mount Scopus, Jerusalem, Israel.ORCID 0000-0001-8988-6124
Jonathan D HuppertThe Hebrew University of Jerusalem, Mount Scopus, Jerusalem, Israel.ORCID 0000-0003-3025-3941
Hebrew University of Jerusalem · ILUniversity of Bristol · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Obsessive compulsive (OC) symptoms involve excessive information gathering (e.g., checking, reassurance-seeking), and uncertainty about possible, often catastrophic, future events. Here we propose that these phenomena are the result of excessive uncertainty regarding state transitions (transition uncertainty): a computational impairment in Bayesian inference leading to a reduced ability to use the past to predict the present and future, and to oversensitivity to feedback (i.e. prediction errors). Using a computational model of Bayesian learning under uncertainty in a reversal learning task, we investigate the relationship between OC symptoms and transition uncertainty. Individuals high and low in OC symptoms performed a task in which they had to detect shifts (i.e. transitions) in cue-outcome contingencies. Modeling subjects' choices was used to estimate each individual participant's transition uncertainty and associated responses to feedback. We examined both an optimal observer model and an approximate Bayesian model in which participants were assumed to attend (and learn about) only one of several cues on each trial. Results suggested the participants were more likely to distribute attention across cues, in accordance with the optimal observer model. As hypothesized, participants with higher OC symptoms exhibited increased transition uncertainty, as well as a pattern of behavior potentially indicative of a difficulty in relying on learned contingencies, with no evidence for perseverative behavior. Increased transition uncertainty compromised these individuals' ability to predict ensuing feedback, rendering them more surprised by expected outcomes. However, no evidence for excessive belief updating was found. These results highlight a potential computational basis for OC symptoms and obsessive compulsive disorder (OCD). The fact the OC symptoms predicted a decreased reliance on the past rather than perseveration challenges preconceptions of OCD as a disorder of inflexibility. Our results have implications for the understanding of the neurocognitive processes leading to excessive uncertainty and distrust of past experiences in OCD.

Indexed as

BehaviorComputer SimulationUncertaintyAdultAttentionBayes TheoremComputational BiologyFemaleHumansKnowledgeLearningMaleModels, PsychologicalMonte Carlo MethodObserver VariationObsessive-Compulsive Disorder

Identifiers

PMID32106245
PMCPMC7046195
OpenAlexW3007340273

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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.