Evidence map›Paper›PMID 31791912›Full record

ArticleNeuroImage. Clinical2020

Brain functional connectivity data enhance prediction of clinical outcome in youth at risk for psychosis.

Guusje Collin, Alfonso Nieto-Castanon, Martha E Shenton, Ofer Pasternak, Sinead Kelly, Matcheri S Keshavan, Larry J Seidman, Robert W McCarley, Margaret A Niznikiewicz, Huijun Li and 5 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in NeuroImage. Clinical, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
–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

24 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  5. Uncovering functional connectivity patterns predictive of cognition in youth using interpretable predictive modeling.Proceedings of the National Academy of Sciences of the United States of America · 2025
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  9. Review
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  15. Illness Phase as a Key Assessment and Intervention Window for Psychosis.Biological psychiatry global open science · 2023
    Review
  16. Article
  17. A Review of Potential Neuroimaging Biomarkers of Schizophrenia-Risk.Journal of psychiatry and brain science · 2023
    Article
  18. Review
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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

15 authors.

Guusje CollinMcGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA; Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA; Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA. Electronic address: gcollin@mit.edu.
Alfonso Nieto-CastanonMcGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA; Department of Psychology, Northeastern University, Boston, MA, USA; Department of Speech, Language & Hearing Sciences, Boston University, Boston, MA, USA.
Martha E ShentonPsychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Research and Development, VA Boston Healthcare System, Brockton Division, Brockton, MA, USA.
Ofer PasternakPsychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Sinead KellyDepartment of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA; Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Matcheri S KeshavanDepartment of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.
Larry J SeidmanDepartment of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.
Robert W McCarleyDepartment of Psychiatry, VA Boston Healthcare System, Brockton Division, Brockton, MA, USA.
Margaret A NiznikiewiczDepartment of Psychiatry, VA Boston Healthcare System, Brockton Division, Brockton, MA, USA.
Huijun LiFlorida A&M University, Department of Psychology, Tallahassee, FL, USA.
Tianhong ZhangShanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yingying TangShanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
William S StoneDepartment of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.
Jijun WangShanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China. Electronic address: jijunwang27@163.com.
Susan Whitfield-GabrieliDepartment of Psychology, Northeastern University, Boston, MA, USA.

Funding

Identifying mechanisms of response to therapeutic intervention in clinical high risk (CHR) for psychosis: a bridge to treatmentR01MH111448 · NIMH · BETH ISRAEL DEACONESS MEDICAL CENTER · PI LI, HUIJUN, NIZNIKIEWICZ, MARGARET A · 2016 to 2023
$4.4M
Brain Maturation and Vulnerability to SchizophreniaR01MH064023 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI KESHAVAN, MATCHERI S. · 2003 to 2008
$3.0M
Next Generation Diffusion MRI Biomarkers for Prodromal SchizophreniaR01MH108574 · NIMH · BRIGHAM AND WOMEN'S HOSPITAL · PI PASTERNAK, OFER · 2016 to 2020
$2.2M
Validating Biomarkers for the Prodrome and Transition to Psychosis in ShanghaiR01MH101052 · NIMH · BETH ISRAEL DEACONESS MEDICAL CENTER · PI LI, HUIJUN, MCCARLEY, ROBERT W · 2013 to 2015
$600k
Broadening the Investigation of Psychosis Prodrome to Different Cultural GroupsR21MH093294 · NIMH · FLORIDA AGRICULTURAL AND MECHANICAL UNIV · PI LI, HUIJUN, SEIDMAN, LARRY J · 2012 to 2013
$249k
NIMH NIH HHS R01 MH064023NIMH NIH HHS R01 MH101052NIMH NIH HHS R01 MH108574NIMH NIH HHS R01 MH111448NIMH NIH HHS R21 MH093294
6 · The paper itself

Abstract

The first episode of psychosis is typically preceded by a prodromal phase with subthreshold symptoms and functional decline. Improved outcome prediction in this stage is needed to allow targeted early intervention. This study assesses a combined clinical and resting-state fMRI prediction model in 137 adolescents and young adults at Clinical High Risk (CHR) for psychosis from the Shanghai At Risk for Psychosis (SHARP) program. Based on outcome at one-year follow-up, participants were separated into three outcome categories including good outcome (symptom remission, N = 71), intermediate outcome (ongoing CHR symptoms, N = 30), and poor outcome (conversion to psychosis or treatment-refractory, N = 36). Validated clinical predictors from the psychosis-risk calculator were combined with measures of resting-state functional connectivity. Using multinomial logistic regression analysis and leave-one-out cross-validation, a clinical-only prediction model did not achieve a significant level of outcome prediction (F

Indexed as

Disease ProgressionAdolescentAdultBrainConnectomeFemaleFollow-Up StudiesHumansMagnetic Resonance ImagingMaleModels, TheoreticalNerve NetPrognosisPsychotic DisordersRiskYoung AdultClinical high riskConnectomeCross-validationPredictionResting-state functional connectivity

Identifiers

PMID31791912
PMCPMC7229353

What OpenQuestion holds

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Registered trials

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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.