Evidence map›Paper›PMID 31062906›Full record

ArticleHuman brain mapping2019

A neural signature of metabolic syndrome.

Eithan Kotkowski, Larry R Price, Crystal Franklin, Maximino Salazar, Mary Woolsey, Ralph A DeFronzo, John Blangero, David C Glahn, Peter T Fox

Open access · greenAbstract read
In one paragraph

Article in Human brain mapping, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 3 pooled it
3.0field-weighted citation impact, top 8% 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

28 citing papers in PubMed, 3 syntheses or guidelines pooled it, 44 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Article
  6. Metabolic Status Modulates Global and Local Brain Age Estimates in Overweight and Obese Adults.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2025
    Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  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

9 authors at 4 institutions in 1 country.

Eithan KotkowskiResearch Imaging Institute, University of Texas Health Science Center at San Antonio, San Antonio, Texas.
Larry R PriceMethodology, Measurement and Statistical Analysis Center, Texas State University, San Marcos, Texas.
Crystal FranklinResearch Imaging Institute, University of Texas Health Science Center at San Antonio, San Antonio, Texas.
Maximino SalazarResearch Imaging Institute, University of Texas Health Science Center at San Antonio, San Antonio, Texas.
Mary WoolseyResearch Imaging Institute, University of Texas Health Science Center at San Antonio, San Antonio, Texas.
Ralph A DeFronzoTexas Diabetes Institute, San Antonio, Texas.
John BlangeroGenomics Computing Center, South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley, Brownsville, Texas.
David C GlahnDepartment of Psychiatry, Yale University School of Medicine, New Haven, Connecticut.
Peter T FoxResearch Imaging Institute, University of Texas Health Science Center at San Antonio, San Antonio, Texas.
The University of Texas Health Science Center at San Antonio · USTexas State University · USThe University of Texas Rio Grande Valley · USYale University · US

Funding

Meta-anaylsis in human brain mappingR01MH074457 · NIMH · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI FOX, PETER THORNTON · 2006 to 2024
$10.5M
SOLAR-Eclipse Computational Tools for Imaging GeneticsR01EB015611 · NIBIB · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI KOCHUNOV, PETER V. · 2012 to 2024
$5.0M
NRSA Training Core (TL1)TL1TR002647 · NCATS · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI CHUN, YONG-HEE PATRICIA, FREI, CHRISTOPHER R. · 2018 to 2022
$1.8M
South Texas Medical Scientist Training Program (STX-MSTP)T32GM113896 · NIGMS · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI CAVAZOS, JOSE E · 2018 to 2022
$1.1M
Hybrid GPU/CPU Computing Resource to Support Connectomic and GenomicsS10OD023696 · OD · UNIVERSITY OF MARYLAND BALTIMORE · PI KOCHUNOV, PETER V. · 2018 to 2018
$593k
Meta-analysis in human brain mappingR56MH074457 · NIMH · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI FOX, PETER THORNTON · 2020 to 2020
$543k
NCATS NIH HHS TL1 TR002647NCATS NIH HHS TL1TR002647-01NIBIB NIH HHS R01 EB015611NIGMS NIH HHS T32 GM113896NIH HHS S10 OD023696NIH HHS T32GM113898NIMH NIH HHS R01 MH074457NIMH NIH HHS R01MH074457-11S1NIMH NIH HHS R56 MH074457
6 · The paper itself

Abstract

That metabolic syndrome (MetS) is associated with age-related cognitive decline is well established. The neurobiological changes underlying these cognitive deficits, however, are not well understood. The goal of this study was to determine whether MetS is associated with regional differences in gray-matter volume (GMV) using a cross-sectional, between-group contrast design in a large, ethnically homogenous sample. T1-weighted MRIs were sampled from the genetics of brain structure (GOBS) data archive for 208 Mexican-American participants: 104 participants met or exceeded standard criteria for MetS and 104 participants were age- and sex-matched metabolically healthy controls. Participants ranged in age from 18 to 74 years (37.3 ± 13.2 years, 56.7% female). Images were analyzed in a whole-brain, voxel-wise manner using voxel-based morphometry (VBM). Three contrast analyses were performed, a whole sample analysis of all 208 participants, and two post hoc half-sample analyses split by age along the median (35.5 years). Significant associations between MetS and decreased GMV were observed in multiple, spatially discrete brain regions including the posterior cerebellum, brainstem, orbitofrontal cortex, bilateral caudate nuclei, right parahippocampus, right amygdala, right insula, lingual gyrus, and right superior temporal gyrus. Age, as shown in the post hoc analyses, was demonstrated to be a significant covariate. A further functional interpretation of the structures exhibiting lower GMV in MetS reflected a significant involvement in reward perception, emotional valence, and reasoning. Additional studies are needed to characterize the influence of MetS's individual clinical components on brain structure and to explore the bidirectional association between GMV and MetS.

Indexed as

AdolescentAdultAgedBrainCohort StudiesCross-Sectional StudiesFemaleGray MatterHumansMagnetic Resonance ImagingMaleMetabolic SyndromeMiddle AgedRetrospective StudiesYoung Adultgenetics of brain structureGOBSgray matter volumehypercholesterolemiahyperglycemiahypertensionhypertriglyceridemiainsulin resistanceinsulin resistance syndromemetabolic syndromeMetSMexican-AmericanneuroimagingobesityT2DMType II diabetes mellitusVBMvoxel-based morphometrywaist circumference

Identifiers

PMID31062906
PMCPMC6865471
OpenAlexW2943917247

What OpenQuestion holds

Textmetadata
LicenceTDM
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.