Evidence map›Paper›PMID 32452769›Full record

ArticleeLife2020

Paranoia as a deficit in non-social belief updating.

Erin J Reed, Stefan Uddenberg, Praveen Suthaharan, Christoph D Mathys, Jane R Taylor, Stephanie Mary Groman, Philip R Corlett

Open access · goldAbstract read
In one paragraph

Article in eLife, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 79 papers.

0numbers the graph read from it
0cells of the map it votes in
79citing papers in PubMed
9.2field-weighted citation impact, top 1% 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

79 citing papers in PubMed, 130 citations in OpenAlex.

  1. Trial
  2. Environmental Exposures and Computational Mechanisms in Psychosis Risk: Insights from a Multi-Site Cohort.Clinical psychological science : a journal of the Association for Psychological Science · 2026
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  17. Self-Reflection Protects Behavior from Volatile Beliefs Linked to Paranoia.Computational psychiatry (Cambridge, Mass.) · 2026
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19 more citing papers are in PubMed but not listed here.

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

7 authors at 3 institutions in 3 countries.

Erin J ReedInterdepartmental Neuroscience Program, Yale School of Medicine, New Haven, United States.ORCID 0000-0003-1669-1929
Stefan UddenbergPrinceton Neuroscience Institute, Princeton University, Princeton, United States.
Praveen SuthaharanDepartment of Psychiatry, Connecticut Mental Health Center, Yale University, New Have, United States.
Christoph D MathysScuola Internazionale Superiore di Studi Avanzati (SISSA), Trieste, Italy.
Jane R TaylorDepartment of Psychiatry, Connecticut Mental Health Center, Yale University, New Have, United States.
Stephanie Mary GromanDepartment of Psychiatry, Connecticut Mental Health Center, Yale University, New Have, United States.ORCID 0000-0002-5231-0612
Philip R CorlettDepartment of Psychiatry, Connecticut Mental Health Center, Yale University, New Have, United States.ORCID 0000-0002-5368-1992
Yale University · USPrinceton University · USScuola Internazionale Superiore di Studi Avanzati · IT

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
MEDICAL SCIENTIST TRAINING PROGRAMT32GM007205 · NIGMS · YALE UNIVERSITY · PI KAZMIERCZAK, BARBARA I · 1985 to 2019
$42.9M
NEUROBIOLOGY OF CORTICAL SYSTEMST32NS007224 · NINDS · YALE UNIVERSITY · PI CARDIN, JESSICA A · 1985 to 2025
$4.6M
Predictive Coding as a Framework for Understanding PsychosisR01MH112887 · NIMH · UNIVERSITY OF MARYLAND BALTIMORE · PI CORLETT, PHILIP, GOLD, JAMES M. · 2018 to 2022
$3.6M
Decision-Making Dysfunction and Chronic CocaineR01DA041480 · NIDA · YALE UNIVERSITY · PI TAYLOR, JANE R · 2017 to 2021
$1.7M
Explaining Paranoia: Computational Modeling of Belief Updating in the General PopulationR21MH120799 · NIMH · YALE UNIVERSITY · PI CORLETT, PHILIP · 2019 to 2020
$404k
NCATS NIH HHS UL1 TR001863NIDA NIH HHS R01 DA041480NIGMS NIH HHS T32 GM007205NIMH NIH HHS R01 MH112887NIMH NIH HHS R21 MH120799NINDS NIH HHS T32 NS007224NSF DGE1122492NSF DGE1752134
6 · The paper itself

Abstract

Paranoia is the belief that harm is intended by others. It may arise from selective pressures to infer and avoid social threats, particularly in ambiguous or changing circumstances. We propose that uncertainty may be sufficient to elicit learning differences in paranoid individuals, without social threat. We used reversal learning behavior and computational modeling to estimate belief updating across individuals with and without mental illness, online participants, and rats chronically exposed to methamphetamine, an elicitor of paranoia in humans. Paranoia is associated with a stronger prior on volatility, accompanied by elevated sensitivity to perceived changes in the task environment. Methamphetamine exposure in rats recapitulates this impaired uncertainty-driven belief updating and rigid anticipation of a volatile environment. Our work provides evidence of fundamental, domain-general learning differences in paranoid individuals. This paradigm enables further assessment of the interplay between uncertainty and belief-updating across individuals and species.

Indexed as

Models, PsychologicalReversal LearningAdultAnimalsCase-Control StudiesCluster AnalysisFemaleHumansMaleMethamphetamineParanoid DisordersRats, Long-EvansUncertaintyMethamphetaminebelief updatingcomputational psychiatryhuman biologylearningmedicineneuroscienceparanoiapredictive processingpsychosisrat

Identifiers

PMID32452769
PMCPMC7326495
OpenAlexW3030282696

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.