Evidence map›Paper›PMID 30335775›Full record

ArticlePloS one2018

Volumetric gray matter measures of amygdala and accumbens in childhood overweight/obesity.

Gabor Perlaki, Denes Molnar, Paul A M Smeets, Wolfgang Ahrens, Maike Wolters, Gabriele Eiben, Lauren Lissner, Peter Erhard, Floor van Meer, Manfred Herrmann and 3 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 1 pooled it
4.8field-weighted citation impact, top 5% 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

33 citing papers in PubMed, 1 synthesis or guideline pooled it, 55 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Structural and Functional Brain Changes in Children and Adolescents With Obesity.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2025
    Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Review
  18. Review
  19. 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

13 authors at 6 institutions in 4 countries.

Gabor PerlakiMTA-PTE Clinical Neuroscience MR Research Group, Pecs, Hungary.
Denes MolnarDepartment of Pediatrics, University of Pecs, Medical School, Pecs, Hungary.
Paul A M SmeetsImage Sciences Institute, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands.ORCID 0000-0002-8695-9612
Wolfgang AhrensLeibniz Institute for Prevention Research and Epidemiology-BIPS, Bremen, Germany.
Maike WoltersLeibniz Institute for Prevention Research and Epidemiology-BIPS, Bremen, Germany.
Gabriele EibenDepartment of Public Health and Community Medicine, University of Gothenburg, Gothenburg, Sweden.
Lauren LissnerDepartment of Public Health and Community Medicine, University of Gothenburg, Gothenburg, Sweden.
Peter ErhardCenter for Cognitive Sciences, University of Bremen, Bremen, Germany.
Floor van MeerImage Sciences Institute, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands.
Manfred HerrmannCenter for Cognitive Sciences, University of Bremen, Bremen, Germany.ORCID 0000-0003-1872-8406
Jozsef JanszkyMTA-PTE Clinical Neuroscience MR Research Group, Pecs, Hungary.
Gergely OrsiMTA-PTE Clinical Neuroscience MR Research Group, Pecs, Hungary.ORCID 0000-0002-9388-2967
I.Family Consortium
University of Pecs · HULeibniz Institute for Prevention Research and Epidemiology - BIPS · DEUniversity of Bremen · DEUtrecht University · NLUniversity of Gothenburg · SEUniversity of Skövde · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesNeuroimaging data suggest that pediatric overweight and obesity are associated with morphological alterations in gray matter (GM) brain structures, but previous studies using mainly voxel-based morphometry (VBM) showed inconsistent results. Here, we aimed to examine the relationship between youth obesity and the volume of predefined reward system structures using magnetic resonance (MR) volumetry. We also aimed to complement volumetry with VBM-style analysis.

methodsFifty-one Caucasian young subjects (32 females; mean age: 13.8±1.9, range: 10.2-16.5 years) were included. Subjects were selected from a subsample of the I.Family study examined in the Hungarian center. A T1-weighted 1 mm3 isotropic resolution image was acquired. Age- and sex-standardized body mass index (zBMI) was assessed at the day of MRI and ~1.89 years (mean±SD: 689±188 days) before the examination. Obesity related GM alterations were investigated using MR volumetry in five predefined brain structures presumed to play crucial roles in body weight regulation (hippocampus, amygdala, accumbens, caudate, putamen), as well as whole-brain and regional VBM.

resultsThe volumes of accumbens and amygdala showed significant positive correlations with zBMI, while their GM densities were inversely related to zBMI. Voxel-based GM mass also showed significant negative correlation with zBMI when investigated in the predefined amygdala region, but this relationship was mediated by GM density.

conclusionsOverweight/obesity related morphometric brain differences already seem to be present in children/adolescents. Our work highlights the disparity between volume and VBM-derived measures and that GM mass (combination of volume and density) is not informative in the context of obesity related volumetric changes. To better characterize the association between childhood obesity and GM morphometry, a combination of volumetric segmentation and VBM methods, as well as future longitudinal studies are necessary. Our results suggest that childhood obesity is associated with enlarged structural volumes, but decreased GM density in the reward system.

Indexed as

AdolescentAmygdalaBody Mass IndexChildCone-Beam Computed TomographyFemaleGray MatterHippocampusHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingMaleOverweightPediatric ObesityPutamen

Identifiers

PMID30335775
PMCPMC6193643
OpenAlexW2895973748

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.