Evidence map›Paper›PMID 30568264›Full record

ArticleInternational journal of obesity (2005)2019

BMI-related cortical morphometry changes are associated with altered white matter structure.

Nenad Medic, Peter Kochunov, Hisham Ziauddeen, Karen D Ersche, Pradeep J Nathan, Lisa Ronan, Paul C Fletcher

Abstract read
In one paragraph

Article in International journal of obesity (2005), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
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  6. 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

7 authors.

Nenad MedicDepartment of Psychiatry, University of Cambridge, Cambridge, CB2 8AH, UK.
Peter KochunovMaryland Psychiatric Research Center, University of Maryland School of Medicine, Baltimore, MD, USA.
Hisham ZiauddeenDepartment of Psychiatry, University of Cambridge, Cambridge, CB2 8AH, UK.ORCID http://orcid.org/0000-0003-4044-1719
Karen D ErscheDepartment of Psychiatry, University of Cambridge, Cambridge, CB2 8AH, UK.
Pradeep J NathanDepartment of Psychiatry, University of Cambridge, Cambridge, CB2 8AH, UK.
Lisa RonanDepartment of Psychiatry, University of Cambridge, Cambridge, CB2 8AH, UK.
Paul C FletcherDepartment of Psychiatry, University of Cambridge, Cambridge, CB2 8AH, UK. pcf22@cam.ac.uk.

Funding

Training U54EB020403 · NIBIB · UNIVERSITY OF SOUTHERN CALIFORNIA · PI THOMPSON, PAUL M · 2014 to 2018
$10.1M
SOLAR-Eclipse Computational Tools for Imaging GeneticsR01EB015611 · NIBIB · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI KOCHUNOV, PETER V. · 2012 to 2024
$5.0M
Amish Connectome Project on Mental IllnessU01MH108148 · NIMH · UNIVERSITY OF MARYLAND BALTIMORE · PI HONG, L ELLIOT ELLIOT, KOCHUNOV, PETER V. · 2015 to 2018
$4.3M
Hybrid GPU/CPU Computing Resource to Support Connectomic and GenomicsS10OD023696 · OD · UNIVERSITY OF MARYLAND BALTIMORE · PI KOCHUNOV, PETER V. · 2018 to 2018
$593k
PHARMACODYNAMICS OF AGENTS FOR BLADDER CANCERK04CA001497 · NCI · OHIO STATE UNIVERSITY · PI AU, JESSIE L.-S. · 1990 to 1994
–
Medical Research Council G0701497NIBIB NIH HHS R01 EB015611NIBIB NIH HHS U54 EB020403NIH HHS S10 OD023696NIMH NIH HHS U01 MH108148Wellcome TrustWellcome Trust RGAG/144Wellcome Trust RNAG/259
6 · The paper itself

Abstract

backgroundWhile gross measures of brain structure have shown alterations with increasing body mass index (BMI), the extent and nature of such changes has varied substantially across studies. Here, we sought to determine whether small-scale morphometric measures might prove more sensitive and reliable than larger scale measures and whether they might offer a valuable opportunity to link cortical changes to underlying white matter changes. To examine this, we explored the association of BMI with millimetre-scale Gaussian curvature, in addition to standard measures of morphometry such as cortical thickness, surface area and mean curvature. We also assessed the volume and integrity of the white matter, using white matter signal intensity and fractional anisotropy (FA). We hypothesised that BMI would be linked to small-scale changes in Gaussian curvature and that this phenomenon would be mediated by changes in the integrity of the underlying white matter.

methodsThe association of global measures of T1-weighted cortical morphometry with BMI was examined using linear regression and mediation analyses in two independent groups of healthy young to middle aged human subjects (n

resultsGaussian curvature of the white matter surface showed a significant, positive association with BMI across all three independent datasets. This effect was mediated by a negative association between the integrity of the white matter and BMI.

conclusionsIncreasing BMI is associated with changes in white matter microstructure in young to middle-aged healthy adults. Our results are consistent with a model whereby BMI-linked cortical changes are mediated by the effects of BMI on white matter microstructure.

Indexed as

Body Mass IndexAdolescentAdultAnisotropyBrainDiffusion Tensor ImagingFemaleHumansImage Interpretation, Computer-AssistedMaleMiddle AgedObesityWhite MatterYoung Adult

Identifiers

PMID30568264
PMCPMC6462878

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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.