Evidence map›Paper›PMID 30704864›Full record

ArticleSchizophrenia research2020

Progressive reconfiguration of resting-state brain networks as psychosis develops: Preliminary results from the North American Prodrome Longitudinal Study (NAPLS) consortium.

Hengyi Cao, Yoonho Chung, Sarah C McEwen, Carrie E Bearden, Jean Addington, Bradley Goodyear, Kristin S Cadenhead, Heline Mirzakhanian, Barbara A Cornblatt, Ricardo Carrión and 13 more

Abstract read
In one paragraph

Article in Schizophrenia research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. Article
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  9. Review
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  16. Article
  17. A Review of Potential Neuroimaging Biomarkers of Schizophrenia-Risk.Journal of psychiatry and brain science · 2023
    Article
  18. Article
  19. A redux of schizophrenia research in 2021.Schizophrenia research · 2022
    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

23 authors.

Hengyi CaoDepartment of Psychology, Yale University, New Haven, CT, USA. Electronic address: hengyi.cao@yale.edu.
Yoonho ChungDepartment of Psychology, Yale University, New Haven, CT, USA.
Sarah C McEwenDepartment of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA, USA.
Carrie E BeardenDepartment of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA, USA.
Jean AddingtonDepartment of Psychiatry, University of Calgary, Calgary, Canada.
Bradley GoodyearDepartments of Radiology, Clinical Neuroscience and Psychiatry, University of Calgary, Calgary, Canada.
Kristin S CadenheadDepartment of Psychiatry, University of California San Diego, San Diego, CA, USA.
Heline MirzakhanianDepartment of Psychiatry, University of California San Diego, San Diego, CA, USA.
Barbara A CornblattDepartment of Psychiatry Research, Zucker Hillside Hospital, Glen Oaks, NY, USA.
Ricardo CarriónDepartment of Psychiatry Research, Zucker Hillside Hospital, Glen Oaks, NY, USA.
Daniel H MathalonDepartment of Psychiatry, University of California San Francisco, San Francisco, CA, USA.
Thomas H McGlashanDepartment of Psychiatry, Yale University, New Haven, CT, USA.
Diana O PerkinsDepartment of Psychiatry, University of North Carolina, Chapel Hill, Chapel Hill, NC, USA.
Aysenil BelgerDepartment of Psychiatry, University of North Carolina, Chapel Hill, Chapel Hill, NC, USA.
Larry J SeidmanDepartment of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.
Heidi ThermenosDepartment of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.
Ming T TsuangDepartment of Psychiatry, University of California San Diego, San Diego, CA, USA.
Theo G M van ErpDepartment of Psychiatry and Human Behavior, University of California Irvine, Irvine, CA, USA.
Elaine F WalkerDepartment of Psychology, Emory University, Atlanta, GA, USA.
Stephan HamannDepartment of Psychology, Emory University, Atlanta, GA, USA.
Alan AnticevicDepartment of Psychiatry, Yale University, New Haven, CT, USA.
Scott W WoodsDepartment of Psychiatry, Yale University, New Haven, CT, USA.
Tyrone D CannonDepartment of Psychology, Yale University, New Haven, CT, USA; Department of Psychiatry, Yale University, New Haven, CT, USA. Electronic address: tyrone.cannon@yale.edu.

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
The Harvard Clinical and Translational Science CenterUL1TR002541 · NCATS · HARVARD MEDICAL SCHOOL · PI NADLER, LEE MARSHALL · 2018 to 2022
$93.0M
STRESS AND EMOTIONAL REACTIVITYP50MH066286 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI NUECHTERLEIN, KEITH H · 2003 to 2014
$18.6M
1/9 Predictors and Mechanisms of Conversion to PsychosisU01MH081902 · NIMH · YALE UNIVERSITY · PI CANNON, TYRONE D · 2008 to 2018
$12.4M
Preclinical CoreP50HD103573 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Mark D Shen · 2020 to 2026
$9.7M
Preclinical CoreU54HD079124 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI MOY, SHERYL S · 2013 to 2019
$8.0M
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
Functional Brain Abnormalities in the Schizophrenia ProdromeR01MH076989 · NIMH · YALE UNIVERSITY · PI MATHALON, DANIEL H · 2007 to 2014
$2.3M
NCATS NIH HHS UL1 TR001863NCATS NIH HHS UL1 TR002541NICHD NIH HHS P50 HD103573NICHD NIH HHS U54 HD079124NIMH NIH HHS P50 MH066286NIMH NIH HHS R01 MH076989NIMH NIH HHS R21 MH085254NIMH NIH HHS U01 MH066069NIMH NIH HHS U01 MH066134NIMH NIH HHS U01 MH081857NIMH NIH HHS U01 MH081902NIMH NIH HHS U01 MH081928NIMH NIH HHS U01 MH081944NIMH NIH HHS U01 MH081988NIMH NIH HHS U01 MH082022
6 · The paper itself

Abstract

Mounting evidence has shown disrupted brain network architecture across the psychosis spectrum. However, whether these changes relate to the development of psychosis is unclear. Here, we used graph theoretical analysis to investigate longitudinal changes in resting-state brain networks in samples of 72 subjects at clinical high risk (including 8 cases who converted to full psychosis) and 48 healthy controls drawn from the North American Prodrome Longitudinal Study (NAPLS) consortium. We observed progressive reduction in global efficiency (P = 0.006) and increase in network diversity (P = 0.001) in converters compared with non-converters and controls. More refined analysis separating nodes into nine key brain networks demonstrated that these alterations were primarily driven by progressively diminished local efficiency in the default-mode network (P = 0.004) and progressively enhanced node diversity across all networks (P < 0.05). The change rates of network efficiency and network diversity were significantly correlated (P = 0.003), suggesting these changes may reflect shared neural mechanisms. In addition, change rates of global efficiency and node diversity were significantly correlated with change rate of cortical thinning in the prefrontal cortex in converters (P < 0.03) and could be predicted by visuospatial memory scores at baseline (P < 0.04). These results provide preliminary evidence for longitudinal reconfiguration of resting-state brain networks during psychosis development and suggest that decreased network efficiency, reflecting an increase in path length between nodes, and increased network diversity, reflecting a decrease in the consistency of functional network organization, may be implicated in the progression to full psychosis.

Indexed as

Psychotic DisordersBrainHumansLongitudinal StudiesMagnetic Resonance ImagingUnited StatesBrain networkClinical high riskGraph theoryPsychosisResting state

Identifiers

PMID30704864
PMCPMC8376298

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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.