Evidence map›Paper›PMID 30022057›Full record

SynthesisInternational journal of obesity (2005)2019

Neuroanatomical differences in obesity: meta-analytic findings and their validation in an independent dataset.

Isabel García-García, Andréanne Michaud, Mahsa Dadar, Yashar Zeighami, Selin Neseliler, D Louis Collins, Alan C Evans, Alain Dagher

Abstract readMeta-AnalysisReview
PubMed Publisher
In one paragraph

Synthesis 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 85 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
85citing papers in PubMed, 4 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

85 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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25 more citing papers are in PubMed but not listed here.

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.

Isabel García-GarcíaMontreal Neurological Institute, McGill University, Montreal, QC, Canada. isabel.garciagarcia@mcgill.ca.
Andréanne MichaudMontreal Neurological Institute, McGill University, Montreal, QC, Canada.
Mahsa DadarMontreal Neurological Institute, McGill University, Montreal, QC, Canada.
Yashar ZeighamiMontreal Neurological Institute, McGill University, Montreal, QC, Canada.
Selin NeselilerMontreal Neurological Institute, McGill University, Montreal, QC, Canada.
D Louis CollinsMontreal Neurological Institute, McGill University, Montreal, QC, Canada.
Alan C EvansMontreal Neurological Institute, McGill University, Montreal, QC, Canada.
Alain DagherMontreal Neurological Institute, McGill University, Montreal, QC, Canada.ORCID http://orcid.org/0000-0002-0945-5779

Funding

CIHR
6 · The paper itself

Abstract

backgroundObesity has been linked with subtle differences in brain structure. These differences tend to be especially relevant in prefrontal cortex regions, areas which play an important role in executive control. However, results in this field are often contradictory: although studies tend to report lower gray matter volume in relation to obesity, some have also observed null or positive associations. To overcome this issue, we conducted a meta-analysis on voxel-based morphometry (VBM) differences associated with obesity-related variables and validated the findings with an independent dataset.

methodsThe literature search included combinations of the following key words: (i) neuroimaging terms: MRI, gray matter, brain, magnetic resonance; (ii) obesity-related terms: obesity, obese, body mass, waist circumference, adiposity. We conducted the meta-analysis using Anisotropic Effect-Size Seed-Based d Mapping (AES-SDM) software. Twenty-one studies on obesity and VBM fulfilled our inclusion criteria, representing 5882 participants (54% females) aged 18-92 years. To examine the validity of our meta-analytic results, we additionally tested on an independent dataset (Human Connectome Project, n = 378 participants) whether mean VBM values obtained for each cluster showed correlations with body mass index (BMI).

resultsWe found that obesity-related variables were consistently associated with lower gray matter volume in areas including the medial prefrontal cortex, bilateral cerebellum, and left temporal pole. The clusters showed negative associations between gray matter volume and BMI in the independent dataset, with the exception of one cluster in the cerebellum.

conclusionsOur findings provide robust evidence that obesity and body mass are related to significantly lower gray matter volume in brain areas with a key role in executive control. These findings might suggest a neurobiological link between obesity and self-regulatory deficits.

Indexed as

Brain MappingExecutive FunctionGray MatterHumansMagnetic Resonance ImagingNeuroimagingObesitySelf-Control

Identifiers

What OpenQuestion holds

Textmetadata
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.