Evidence map›Paper›PMID 38520361›Full record

ArticleHuman brain mapping2024

White adipose tissue distribution and amount are associated with increased white matter connectivity.

Liana Okudzhava, Stephanie Schulz, Elda Fischi-Gomez, Gabriel Girard, Jürgen Machann, Philipp J Koch, Jean-Philippe Thiran, Thomas F Münte, Marcus Heldmann

Open access · goldAbstract read
In one paragraph

Article in Human brain mapping, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 18% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Pooled it
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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

9 authors at 4 institutions in 3 countries.

Liana OkudzhavaDepartment of Neurology, University of Lübeck, Lübeck, Germany.ORCID 0000-0002-4522-9920
Stephanie SchulzDepartment of Neurology, University of Lübeck, Lübeck, Germany.
Elda Fischi-GomezCIBM Center for Biomedical Imaging, Lausanne, Switzerland.ORCID 0000-0002-6506-2128
Gabriel GirardCIBM Center for Biomedical Imaging, Lausanne, Switzerland.
Jürgen MachannSection on Experimental Radiology, Department of Radiology, Eberhard-Karls University, Tübingen, Germany.
Philipp J KochDepartment of Neurology, University of Lübeck, Lübeck, Germany.
Jean-Philippe ThiranCIBM Center for Biomedical Imaging, Lausanne, Switzerland.
Thomas F MünteDepartment of Neurology, University of Lübeck, Lübeck, Germany.
Marcus HeldmannDepartment of Neurology, University of Lübeck, Lübeck, Germany.
University of Lübeck · DECentre d'Imagerie BioMedicale · CHDeutsches Diabetes-Zentrum e.V. · DEUniversité de Sherbrooke · CA

Funding

Bundesministerium für Bildung und Forschung 01GI0925Deutsche Forschungsgemeinschaft
6 · The paper itself

Abstract

Obesity represents a significant public health concern and is linked to various comorbidities and cognitive impairments. Previous research indicates that elevated body mass index (BMI) is associated with structural changes in white matter (WM). However, a deeper characterization of body composition is required, especially considering the links between abdominal obesity and metabolic dysfunction. This study aims to enhance our understanding of the relationship between obesity and WM connectivity by directly assessing the amount and distribution of fat tissue. Whole-body magnetic resonance imaging (MRI) was employed to evaluate total adipose tissue (TAT), visceral adipose tissue (VAT), and subcutaneous adipose tissue (SAT), while MR liver spectroscopy measured liver fat content in 63 normal-weight, overweight, and obese males. WM connectivity was quantified using microstructure-informed tractography. Connectome-based predictive modeling was used to predict body composition metrics based on WM connectomes. Our analysis revealed a positive dependency between BMI, TAT, SAT, and WM connectivity in brain regions involved in reward processing and appetite regulation, such as the insula, nucleus accumbens, and orbitofrontal cortex. Increased connectivity was also observed in cognitive control and inhibition networks, including the middle frontal gyrus and anterior cingulate cortex. No significant associations were found between WM connectivity and VAT or liver fat. Our findings suggest that altered neural communication between these brain regions may affect cognitive processes, emotional regulation, and reward perception in individuals with obesity, potentially contributing to weight gain. While our study did not identify a link between WM connectivity and VAT or liver fat, further investigation of the role of various fat depots and metabolic factors in brain networks is required to advance obesity prevention and treatment approaches.

Indexed as

Magnetic Resonance ImagingWhite MatterAdipose TissueHumansMaleObesityTissue DistributionWhole Body Imagingadipose tissueconnectome‐based predictive modelingobesitystructural connectivity

Identifiers

PMID38520361
PMCPMC10960552
OpenAlexW4393119485

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.