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Extended and replicated white matter changes in obesity: Voxel-based and region of interest meta-analyses of diffusion tensor imaging studies

INTRODUCTION: Obesity has become a global public health issue, which impacts general health and the brain. Associations between obesity and white matter microstructure measured using diffusion tensor imaging have been under reviewed, despite a relatively large number of individual studies. Our objec...

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Autores principales: Dietze, Lorielle M. F., McWhinney, Sean R., Radua, Joaquim, Hajek, Tomas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10028081/
https://www.ncbi.nlm.nih.gov/pubmed/36960197
http://dx.doi.org/10.3389/fnut.2023.1108360
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author Dietze, Lorielle M. F.
McWhinney, Sean R.
Radua, Joaquim
Hajek, Tomas
author_facet Dietze, Lorielle M. F.
McWhinney, Sean R.
Radua, Joaquim
Hajek, Tomas
author_sort Dietze, Lorielle M. F.
collection PubMed
description INTRODUCTION: Obesity has become a global public health issue, which impacts general health and the brain. Associations between obesity and white matter microstructure measured using diffusion tensor imaging have been under reviewed, despite a relatively large number of individual studies. Our objective was to determine the association between obesity and white matter microstructure in a large general population sample. METHODS: We analyzed location of brain white matter changes in obesity using the Anisotropic Effect Size Seed-based d Mapping (AES-SDM) method in a voxel-based meta-analysis, with validation in a region of interest (ROI) effect size meta-analysis. Our sample included 21 742 individuals from 51 studies. RESULTS: The voxel-based spatial meta-analysis demonstrated reduced fractional anisotropy (FA) with obesity in the genu and splenium of the corpus callosum, middle cerebellar peduncles, anterior thalamic radiation, cortico-spinal projections, and cerebellum. The ROI effect size meta-analysis replicated associations between obesity and lower FA in the genu and splenium of the corpus callosum, middle cerebellar peduncles. Effect size of obesity related brain changes was small to medium. DISCUSSION: Our findings demonstrate obesity related brain white matter changes are localized rather than diffuse. Better understanding the brain correlates of obesity could help identify risk factors, and targets for prevention or treatment of brain changes.
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spelling pubmed-100280812023-03-22 Extended and replicated white matter changes in obesity: Voxel-based and region of interest meta-analyses of diffusion tensor imaging studies Dietze, Lorielle M. F. McWhinney, Sean R. Radua, Joaquim Hajek, Tomas Front Nutr Nutrition INTRODUCTION: Obesity has become a global public health issue, which impacts general health and the brain. Associations between obesity and white matter microstructure measured using diffusion tensor imaging have been under reviewed, despite a relatively large number of individual studies. Our objective was to determine the association between obesity and white matter microstructure in a large general population sample. METHODS: We analyzed location of brain white matter changes in obesity using the Anisotropic Effect Size Seed-based d Mapping (AES-SDM) method in a voxel-based meta-analysis, with validation in a region of interest (ROI) effect size meta-analysis. Our sample included 21 742 individuals from 51 studies. RESULTS: The voxel-based spatial meta-analysis demonstrated reduced fractional anisotropy (FA) with obesity in the genu and splenium of the corpus callosum, middle cerebellar peduncles, anterior thalamic radiation, cortico-spinal projections, and cerebellum. The ROI effect size meta-analysis replicated associations between obesity and lower FA in the genu and splenium of the corpus callosum, middle cerebellar peduncles. Effect size of obesity related brain changes was small to medium. DISCUSSION: Our findings demonstrate obesity related brain white matter changes are localized rather than diffuse. Better understanding the brain correlates of obesity could help identify risk factors, and targets for prevention or treatment of brain changes. Frontiers Media S.A. 2023-03-07 /pmc/articles/PMC10028081/ /pubmed/36960197 http://dx.doi.org/10.3389/fnut.2023.1108360 Text en Copyright © 2023 Dietze, McWhinney, Radua and Hajek. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Nutrition
Dietze, Lorielle M. F.
McWhinney, Sean R.
Radua, Joaquim
Hajek, Tomas
Extended and replicated white matter changes in obesity: Voxel-based and region of interest meta-analyses of diffusion tensor imaging studies
title Extended and replicated white matter changes in obesity: Voxel-based and region of interest meta-analyses of diffusion tensor imaging studies
title_full Extended and replicated white matter changes in obesity: Voxel-based and region of interest meta-analyses of diffusion tensor imaging studies
title_fullStr Extended and replicated white matter changes in obesity: Voxel-based and region of interest meta-analyses of diffusion tensor imaging studies
title_full_unstemmed Extended and replicated white matter changes in obesity: Voxel-based and region of interest meta-analyses of diffusion tensor imaging studies
title_short Extended and replicated white matter changes in obesity: Voxel-based and region of interest meta-analyses of diffusion tensor imaging studies
title_sort extended and replicated white matter changes in obesity: voxel-based and region of interest meta-analyses of diffusion tensor imaging studies
topic Nutrition
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10028081/
https://www.ncbi.nlm.nih.gov/pubmed/36960197
http://dx.doi.org/10.3389/fnut.2023.1108360
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