Evidence map›Paper›PMID 33277498›Full record

ArticleNPJ schizophrenia2020

Personalized estimates of morphometric similarity in bipolar disorder and schizophrenia.

Gaelle E Doucet, Dongdong Lin, Yuhui Du, Zening Fu, David C Glahn, Vincent D Calhoun, Jessica Turner, Sophia Frangou

Open access · goldAbstract read
In one paragraph

Article in NPJ schizophrenia, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 2 pooled it
2.0field-weighted citation impact, top 13% 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

18 citing papers in PubMed, 2 syntheses or guidelines pooled it, 23 citations in OpenAlex.

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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

8 authors at 4 institutions in 3 countries.

Gaelle E DoucetDepartment of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Dongdong LinTri-Institutional Center for Translational Research in Neuroimaging and Data Science, Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, GA, USA.
Yuhui DuTri-Institutional Center for Translational Research in Neuroimaging and Data Science, Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, GA, USA.
Zening FuTri-Institutional Center for Translational Research in Neuroimaging and Data Science, Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, GA, USA.
David C GlahnTommy Fuss Center for Neuropsychiatric Disease Research, Boston Children's Hospital, Harvard University, Boston, MA, USA.
Vincent D CalhounTri-Institutional Center for Translational Research in Neuroimaging and Data Science, Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, GA, USA.
Jessica TurnerTri-Institutional Center for Translational Research in Neuroimaging and Data Science, Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, GA, USA.
Sophia FrangouDepartment of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA. sophia.frangou@mssm.edu.ORCID http://orcid.org/0000-0002-3210-6470
Georgia Institute of Technology · USBoston Children's Hospital · USBoys Town National Research Hospital · USUniversity of British Columbia · CA

Funding

Translational Imaging and Behavioral Assessment (TIBA) CoreP20GM130447 · NIGMS · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI Anna Dunaevsky · 2020 to 2026
$20.7M
Transcranial Direct Current Stimulation for Treatment of Auditory Verbal HalluciP20GM103472 · NIGMS · THE MIND RESEARCH NETWORK · PI BEDRICK, EDWARD J · 2012 to 2017
$14.3M
Mining the Genomewide Scan: Genetic Profiles of Structural Loss in Schizophrenia: AD/ADRD supplementR01MH094524 · NIMH · THE MIND RESEARCH NETWORK · PI CALHOUN, VINCE D, TURNER, JESS · 2012 to 2021
$6.3M
Genetics of Brain Structure and FunctionR01MH078143 · NIMH · YALE UNIVERSITY · PI GLAHN, DAVID C · 2006 to 2014
$4.3M
Gene Networks Influencing Psychotic Dysconnectivity in African AmericansR01MH106324 · NIMH · YALE UNIVERSITY · PI BLANGERO, JOHN, GLAHN, DAVID C · 2015 to 2019
$4.2M
Insulin Resistance and Accelerated Cognitive AgingR01AG050345 · NIA · STANFORD UNIVERSITY · PI RASGON, NATALIE L · 2016 to 2020
$3.7M
Brain connectivity and the role of myelin in PsychosisR01MH113619 · NIMH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI FRANGOU, SOPHIA · 2018 to 2021
$2.5M
ENIGMA-SD: Understanding Sex Differences in Global Mental Health through ENIGMAR01MH116147 · NIMH · UNIVERSITY OF SOUTHERN CALIFORNIA · PI THOMPSON, PAUL M · 2018 to 2021
$2.5M
Deconstructing Psychoses Based on Patterns of Abnormal Brain ActivityR01MH104284 · NIMH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI FRANGOU, SOPHIA · 2014 to 2017
$2.4M
Atlas55+: Creation and Validation of a Reference Brain Functional Atlas for Late AdulthoodR03AG064001 · NIA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI DOUCET, GAELLE EVE · 2019 to 2020
$162k
NIA NIH HHS R01 AG050345NIA NIH HHS R03 AG064001NIGMS NIH HHS P20 GM103472NIGMS NIH HHS P20 GM130447NIMH NIH HHS R01 MH078143NIMH NIH HHS R01 MH094524NIMH NIH HHS R01 MH104284NIMH NIH HHS R01 MH106324NIMH NIH HHS R01 MH113619NIMH NIH HHS R01 MH116147U.S. Department of Health & Human Services | National Institutes of Health (NIH) R01AG050345U.S. Department of Health & Human Services | National Institutes of Health (NIH) R03AG064001U.S. Department of Health & Human Services | NIH | National Institute of General Medical Sciences (NIGMS) P20GM130447U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH) R01MH078143U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH) R01MH104284U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH) R01MH106324U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH) R01MH116147
6 · The paper itself

Abstract

Bipolar disorder and schizophrenia are associated with brain morphometry alterations. This study investigates inter-individual variability in brain structural profiles, both within diagnostic groups and between patients and healthy individuals. Brain morphometric measures from three independent samples of patients with schizophrenia (n = 168), bipolar disorder (n = 122), and healthy individuals (n = 180) were modeled as single vectors to generated individualized profiles of subcortical volumes and regional cortical thickness. These profiles were then used to compute a person-based similarity index (PBSI) for subcortical volumes and for regional cortical thickness, to quantify the within-group similarity of the morphometric profile of each individual to that of the other participants in the same diagnostic group. There was no effect of diagnosis on the PBSI for subcortical volumes. In contrast, compared to healthy individuals, the PBSI for cortical thickness was lower in patients with schizophrenia (effect size = 0.4, p ≤ 0.0002), but not in patients with bipolar disorder. The results were robust and reproducible across samples. We conclude that disease mechanisms for these disorders produce modest inter-individual variations in brain morphometry that should be considered in future studies attempting to cluster patients in subgroups.

Identifiers

PMID33277498
PMCPMC7718905
OpenAlexW3109870702

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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.