In one paragraphArticle in Schizophrenia bulletin open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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 registryThe 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 literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
16 authors.
Trevor WilliamsDepartment of Psychology, Kent State University, Kent, OH 44240, United States.
Joshua KenneyDepartment of Psychiatry, Yale University, New Haven, CT 06519, United States.
Lauren M EllmanDepartment of Psychology & Neuroscience, Temple University, Philadelphia, PA 19122, United States.
Gregory P StraussDepartments of Psychology and Neuroscience, University of Georgia, Athens, GA 30602, United States.
Scott W WoodsDepartment of Psychiatry, Yale University, New Haven, CT 06519, United States.
Judy L ThompsonDepartments of Psychiatry and Neuroscience, University of Rochester Medical Center, Rochester, NY 14642, United States.
Jason SchiffmanDepartment of Psychological Science, 4201 Social and Behavioral Sciences Gateway, University of California, Irvine, CA 92697, United States.
Funding
TRAINING PROGRAM IN THE NEUROSCIENCE OF HUMAN COGNITIONT32NS047987 · NINDS · NORTHWESTERN UNIVERSITY AT CHICAGO · PI Rodrigo M Braga, Christina Maria Zelano · 2006 to 2026
$5.6M2/9 - Predictors and Mechanisms of Conversion to PsychosisU01MH081988 · NIMH · EMORY UNIVERSITY · PI WALKER, ELAINE FRAN · 2008 to 2018
$5.4M5/5 CAPER: Computerized Assessment of Psychosis RiskR01MH120089 · NIMH · YALE UNIVERSITY · PI CORLETT, PHILIP, WOODS, SCOTT W · 2020 to 2024
$3.1MProdromal Inventory for Negative Symptoms (PINS): A Development and Validation StudyR01MH116039 · NIMH · UNIVERSITY OF GEORGIA · PI MITTAL, VIJAY A, STRAUSS, GREGORY P · 2019 to 2023
$3.1M1/5 CAPER: Computerized Assessment of ProdromE RiskR01MH120090 · NIMH · UNIVERSITY OF MARYLAND BALTIMORE · PI GOLD, JAMES M. · 2020 to 2024
$2.9M4/5 CAPER: Computerized assessment of psychosis riskR01MH120092 · NIMH · UNIVERSITY OF GEORGIA · PI STRAUSS, GREGORY P · 2020 to 2024
$2.0M2/5 CAPER Computerized assessment of psychosis riskR01MH120088 · NIMH · NORTHWESTERN UNIVERSITY · PI MITTAL, VIJAY A · 2020 to 2024
$2.0M1/3-Community Psychosis Risk Screening: An Instrument Development Study SupplementR01MH112613 · NIMH · TEMPLE UNIV OF THE COMMONWEALTH · PI ELLMAN, LAUREN M · 2017 to 2022
$1.8MCAPER: Computerized Assessment of Psychosis Risk SupplementR01MH120091 · NIMH · TEMPLE UNIV OF THE COMMONWEALTH · PI ELLMAN, LAUREN M · 2020 to 2024
$1.6MAdministrative Supplement - 3/3: Community Psychology Risk Screening: An Instrument Development StudyR01MH112612 · NIMH · UNIVERSITY OF MARYLAND BALTIMORE COUNTY · PI PITTS, STEVEN C, SCHIFFMAN, JASON E · 2017 to 2022
$1.3M2/3 Community psychosis risk screening: An instrument development studyR01MH112545 · NIMH · NORTHWESTERN UNIVERSITY · PI MITTAL, VIJAY A · 2017 to 2021
$1.2MMechanisms Underlying Emotion Regulation Abnormalities in Youth at Clinical High-Risk for PsychosisR21MH119438 · NIMH · UNIVERSITY OF GEORGIA · PI STRAUSS, GREGORY P · 2019 to 2020
$415kNIMH NIH HHS R01 MH112545NIMH NIH HHS R01 MH112612NIMH NIH HHS R01 MH112613NIMH NIH HHS R01 MH116039NIMH NIH HHS R01 MH120088NIMH NIH HHS R01 MH120089NIMH NIH HHS R01 MH120090NIMH NIH HHS R01 MH120091NIMH NIH HHS R01 MH120092NIMH NIH HHS R21 MH119438NIMH NIH HHS U01 MH081988NINDS NIH HHS T32 NS047987
6 · The paper itselfAbstract
Background and Hypothesis: Humans are capable of detecting faces and speech in noisy environments. While such detection is generally adaptive, we hypothesize that hallucinations and perceptual distortions arise from overdetection of such features under uncertainty. Study Design: To test this hypothesis, we measured face and speech detection rates in over 800 adolescents and young adults, oversampled for individuals at risk of developing psychotic disorders. Study Results: Individuals who reported seeing more faces in degraded 2-tone images tended to report hearing more speech in degraded filtered audio clips ( Conclusions: Our results suggest that a supramodal tendency to report the presence of socially salient content under uncertainty may contribute to positive perceptual symptoms and index clinical risk for psychosis. We place these findings within the broader literature and discuss the potential utility of these highly scalable behavioral measures for better identifying individuals at risk for developing psychosis.
Indexed as
Bayesian inferenceclinical high-riskhallucinationsperceptionperceptual priorspredictive coding
Identifiers
PMID42487730
PMCPMC13390576
What OpenQuestion holds
Textmetadata
LicenceCC BY
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