Evidence map›Paper›PMID 26267151›Full record

ArticleJAMA psychiatry2015

Association of Thalamic Dysconnectivity and Conversion to Psychosis in Youth and Young Adults at Elevated Clinical Risk.

Alan Anticevic, Kristen Haut, John D Murray, Grega Repovs, Genevieve J Yang, Caroline Diehl, Sarah C McEwen, Carrie E Bearden, Jean Addington, Bradley Goodyear and 16 more

Open access · greenAbstract read
In one paragraph

Article in JAMA psychiatry, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 235 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
235citing papers in PubMed, 4 pooled it
16.5field-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

235 citing papers in PubMed, 4 syntheses or guidelines pooled it, 380 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Interventions for prodromal stage of psychosis.The Cochrane database of systematic reviews · 2019
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  10. Effective connectivity changes in LSD-induced altered states of consciousness in humans.Proceedings of the National Academy of Sciences of the United States of America · 2019
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  12. Article
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  15. The hippocampus as a generative model.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2026
    Review
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  20. Review

175 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

26 authors at 14 institutions in 3 countries.

Alan AnticevicDepartment of Psychiatry, Yale University School of Medicine, New Haven, Connecticut2National Institute of Alcohol Abuse and Alcoholism Center for the Translational Neuroscience of Alcoholism, New Haven, Connecticut3Abraham Ribicoff Research Facilities, C.
Kristen HautDepartment of Psychology, Yale University, New Haven, Connecticut.
John D MurrayCenter for Neural Science, New York University, New York.
Grega RepovsDepartment of Psychology, University of Ljubljana, Ljubljana, Slovenia.
Genevieve J YangDepartment of Psychiatry, Yale University School of Medicine, New Haven, Connecticut3Abraham Ribicoff Research Facilities, Connecticut Mental Health Center, New Haven5Interdepartmental Neuroscience Program, Yale University, New Haven, Connecticut.
Caroline DiehlDepartment of Psychiatry, Yale University School of Medicine, New Haven, Connecticut4Department of Psychology, Yale University, New Haven, Connecticut.
Sarah C McEwenDepartments of Psychiatry and Biobehavioral Sciences and Psychology, University of California, Los Angeles.
Carrie E BeardenDepartments of Psychiatry and Biobehavioral Sciences and Psychology, University of California, Los Angeles.
Jean AddingtonDepartment of Psychiatry, University of Calgary, Calgary, Alberta, Canada.
Bradley GoodyearDepartment of Psychiatry, University of Calgary, Calgary, Alberta, Canada.
Kristin S CadenheadDepartment of Psychiatry, University of California, San Diego, La Jolla.
Heline MirzakhanianDepartment of Psychiatry, University of California, San Diego, La Jolla.
Barbara A CornblattDepartment of Psychiatry, Zucker Hillside Hospital, Glen Oaks, New York.
Doreen OlvetDepartment of Psychiatry, Zucker Hillside Hospital, Glen Oaks, New York.
Daniel H MathalonDepartment of Psychiatry, University of California, San Francisco.
Thomas H McGlashanDepartment of Psychiatry, Yale University School of Medicine, New Haven, Connecticut.
Diana O PerkinsDepartment of Psychiatry, University of North Carolina, Chapel Hill.
Aysenil BelgerDepartment of Psychiatry, University of North Carolina, Chapel Hill.
Larry J SeidmanDepartment of Psychiatry, Beth Israel Deaconess Medical Center, Boston, Massachusetts15Massachusetts General Hospital, Boston16Department of Psychiatry, Harvard Medical School, and Massachusetts Mental Health Center Public Psychiatry Division, Beth Israel.
Ming T TsuangDepartment of Psychiatry, University of California, San Diego, La Jolla.
Theo G M van ErpDepartment of Psychiatry and Human Behavior, University of California, Irvine.
Elaine F WalkerDepartments of Psychology and Radiology, Emory University, Atlanta, Georgia.
Stephan HamannDepartments of Psychology and Radiology, Emory University, Atlanta, Georgia.
Scott W WoodsDepartment of Psychiatry, Yale University School of Medicine, New Haven, Connecticut.
Maolin QiuDepartment of Diagnostic Radiology and Magnetic Resonance Research Center, Yale University, New Haven, Connecticut.
Tyrone D CannonDepartment of Psychiatry, Yale University School of Medicine, New Haven, Connecticut4Department of Psychology, Yale University, New Haven, Connecticut.
Yale University · USUniversity of California, San Diego · USEmory University · USUniversity of Calgary · CAUniversity of North Carolina at Chapel Hill · USZucker Hillside Hospital · USConnecticut Mental Health Center · USMassachusetts Mental Health Center · USNeurobehavioral Systems · USNew York University · USUniversity of California, Irvine · USUniversity of California, Los Angeles · USUniversity of California, San Francisco · USUniversity of Ljubljana · SI

Funding

MEDICAL SCIENTIST TRAINING PROGRAMT32GM007205 · NIGMS · YALE UNIVERSITY · PI KAZMIERCZAK, BARBARA I · 1985 to 2019
$42.9M
1/9 Predictors and Mechanisms of Conversion to PsychosisU01MH081902 · NIMH · YALE UNIVERSITY · PI CANNON, TYRONE D · 2008 to 2018
$12.4M
5/9 Predictors and Mechanisms of Conversion to PsychosisU01MH082004 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI PERKINS, DIANA O. · 2008 to 2018
$7.5M
Administrative Supplement Harmonization of At Risk Multisite Observational Networks for Youth(HARMONY)U01MH081928 · NIMH · BETH ISRAEL DEACONESS MEDICAL CENTER · PI STONE, WILLIAM SETH · 2008 to 2018
$7.1M
4/9-Predictors and Mechanisms of Conversion to PsychosisU01MH081857 · NIMH · FEINSTEIN INSTITUTE FOR MEDICAL RESEARCH · PI CORNBLATT, BARBARA A. · 2008 to 2018
$6.2M
8/9 Predictors and Mechanisms of Conversion to PsychosisU01MH082022 · NIMH · YALE UNIVERSITY · PI WOODS, SCOTT W · 2008 to 2018
$6.0M
2/9 - Predictors and Mechanisms of Conversion to PsychosisU01MH081988 · NIMH · EMORY UNIVERSITY · PI WALKER, ELAINE FRAN · 2008 to 2018
$5.4M
6/9-Predictors and Mechanisms of Conversion to PsychosisU01MH081944 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI CADENHEAD, KRISTIN S. · 2008 to 2018
$4.9M
"7/9" Predictors and Mechanisms of Conversion to PsychosisU01MH081984 · NIMH · UNIVERSITY OF CALGARY · PI ADDINGTON, JEAN M · 2008 to 2018
$4.2M
9/9-Predictors and Mechanisms of Conversion to PsychosisU01MH076989 · NIMH · NORTHERN CALIFORNIA INSTITUTE/RES/EDU · PI MATHALON, DANIEL H · 2014 to 2018
$3.9M
Characterizing Schizophrenia Progression via Multi-modal Neuroimaging and ComputationR01MH108590 · NIMH · YALE UNIVERSITY · PI ANTICEVIC, ALAN · 2016 to 2020
$2.0M
Characterizing Cognitive Impairment in Schizophrenia via Computational Modeling aDP5OD012109 · OD · YALE UNIVERSITY · PI ANTICEVIC, ALAN · 2012 to 2016
$1.8M
NIGMS NIH HHS T32 GM007205NIGMS NIH HHS T32GM007205NIH HHS DP5 OD012109NIH HHS DP5OD012109-02NIMH NIH HHS F30 MH107149NIMH NIH HHS K01 MH099431NIMH NIH HHS MH066160NIMH NIH HHS MH081857NIMH NIH HHS MH081902NIMH NIH HHS MH081928NIMH NIH HHS MH081984NIMH NIH HHS MH081988NIMH NIH HHS MH082004NIMH NIH HHS MH082022NIMH NIH HHS R01 MH108590NIMH NIH HHS R03 MH105765NIMH NIH HHS U01 MH066160NIMH NIH HHS U01 MH076989NIMH NIH HHS U01 MH081857NIMH NIH HHS U01 MH081902NIMH NIH HHS U01 MH081928NIMH NIH HHS U01 MH081944NIMH NIH HHS U01 MH081984NIMH NIH HHS U01 MH081988NIMH NIH HHS U01 MH082004NIMH NIH HHS U01 MH082022
6 · The paper itself

Abstract

importanceSevere neuropsychiatric conditions, such as schizophrenia, affect distributed neural computations. One candidate system profoundly altered in chronic schizophrenia involves the thalamocortical networks. It is widely acknowledged that schizophrenia is a neurodevelopmental disorder that likely affects the brain before onset of clinical symptoms. However, no investigation has tested whether thalamocortical connectivity is altered in individuals at risk for psychosis or whether this pattern is more severe in individuals who later develop full-blown illness.

objectivesTo determine whether baseline thalamocortical connectivity differs between individuals at clinical high risk for psychosis and healthy controls, whether this pattern is more severe in those who later convert to full-blown illness, and whether magnitude of thalamocortical dysconnectivity is associated with baseline prodromal symptom severity. DESIGN, SETTING, AND

participantsIn this multicenter, 2-year follow-up, case-control study, we examined 397 participants aged 12-35 years of age (243 individuals at clinical high risk of psychosis, of whom 21 converted to full-blown illness, and 154 healthy controls). The baseline scan dates were January 15, 2010, to April 30, 2012. MAIN OUTCOMES AND MEASURES: Whole-brain thalamic functional connectivity maps were generated using individuals' anatomically defined thalamic seeds, measured using resting-state functional connectivity magnetic resonance imaging.

resultsUsing baseline magnetic resonance images, we identified thalamocortical dysconnectivity in the 243 individuals at clinical high risk for psychosis, which was particularly pronounced in the 21 participants who converted to full-blown illness. The pattern involved widespread hypoconnectivity between the thalamus and prefrontal and cerebellar areas, which was more prominent in those who converted to full-blown illness (t(173) = 3.77, P < .001, Hedge g = 0.88). Conversely, there was marked thalamic hyperconnectivity with sensory motor areas, again most pronounced in those who converted to full-blown illness (t(173) = 2.85, P < .001, Hedge g = 0.66). Both patterns were significantly correlated with concurrent prodromal symptom severity (r = 0.27, P < 3.6 × 10(-8), Spearman ρ = 0.27, P < 4.75 × 10(-5), 2-tailed). CONCLUSIONS AND RELEVANCE: Thalamic dysconnectivity, resembling that seen in schizophrenia, was evident in individuals at clinical high risk for psychosis and more prominently in those who later converted to psychosis. Dysconnectivity correlated with symptom severity, supporting the idea that thalamic connectivity may have prognostic implications for risk of conversion to full-blown illness.

Indexed as

Prodromal SymptomsAdolescentAdultBrain MappingCase-Control StudiesCerebellumCerebral CortexChildDisease ProgressionFemaleFollow-Up StudiesFunctional NeuroimagingHumansMagnetic Resonance ImagingMaleNeural Pathways

Identifiers

PMID26267151
PMCPMC4892891
OpenAlexW2154795311

What OpenQuestion holds

Textmetadata
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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.