Evidence map›Paper›PMID 30462205›Full record

ArticleCerebral cortex (New York, N.Y. : 1991)2019

Person-Based Brain Morphometric Similarity is Heritable and Correlates With Biological Features.

Gaelle E Doucet, Dominik A Moser, Amanda Rodrigue, Danielle S Bassett, David C Glahn, Sophia Frangou

Abstract read
In one paragraph

Article in Cerebral cortex (New York, N.Y. : 1991), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 2 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

30 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
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  10. LearningBrain sciences · 2023
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  20. Brain morphometric similarity and flexibility.Cerebral cortex communications · 2022
    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

6 authors.

Gaelle E DoucetDepartment of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Dominik A MoserDepartment of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Amanda RodrigueDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, USA.
Danielle S BassettDepartment of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA.
David C GlahnDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, USA.
Sophia FrangouDepartment of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA.

Funding

Mapping the Human Connectome: Structure, Function, and HeritabilityU54MH091657 · NIMH · WASHINGTON UNIVERSITY · PI UGURBIL, KAMIL, VAN ESSEN, DAVID C · 2010 to 2014
$34.7M
Linguistic and NonLinguistic Functions of Frontal CortexR01DC009209 · NIDCD · UNIVERSITY OF PENNSYLVANIA · PI THOMPSONSCHILL, SHARON L · 2008 to 2018
$5.2M
Influence of Psychosis on Brain-Behavior Endophenotypes for Bipolar DisorderR01MH080912 · NIMH · YALE UNIVERSITY · PI GLAHN, DAVID C · 2008 to 2012
$2.6M
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
CRCNS: US-France Modeling & Predicting BCI Learning from Dynamic NetworksR01HD086888 · NICHD · UNIVERSITY OF PENNSYLVANIA · PI BASSETT, DANIELLE SMITH · 2015 to 2018
$506k
Biotechnology and Biological Sciences Research Council BB/H008217/1Medical Research CouncilNICHD NIH HHS R01 HD086888NIDCD NIH HHS R01 DC009209NIMH NIH HHS R01 MH080912NIMH NIH HHS R01 MH104284NIMH NIH HHS R01 MH116147NIMH NIH HHS U54 MH091657
6 · The paper itself

Abstract

The characterization of the functional significance of interindividual variation in brain morphometry is a core aim of cognitive neuroscience. Prior research has focused on interindividual variation at the level of regional brain measures thus overlooking the fact that each individual brain is a person-specific ensemble of interdependent regions. To expand this line of inquiry we introduce the person-based similarity index (PBSI) for brain morphometry. The conceptual unit of the PBSI is the individual person's brain structural profile which considers all relevant morphometric measures as features of a single vector. In 2 independent cohorts (total of 1756 healthy participants), we demonstrate the foundational validity of this approach by affirming that the PBSI scores for subcortical volume and cortical thickness in healthy individuals differ between men and women, are heritable, and robust to variation in neuroimaging parameters, sample composition, and regional brain morphometry. Moreover, the PBSI scores correlate with age, body mass index, and fluid intelligence. Collectively, these results suggest that the person-based measures of brain morphometry are biologically and functionally meaningful and have the potential to advance the study of human variation in multivariate brain imaging phenotypes in healthy and clinical populations.

Indexed as

Body Mass IndexAdolescentAdultAgedAged, 80 and overBrainCohort StudiesFemaleHumansIntelligenceMagnetic Resonance ImagingMaleMiddle AgedYoung Adult

Identifiers

PMID30462205
PMCPMC6319174

What OpenQuestion holds

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LicenceCC BY-NC
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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.