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Multivariate association between brain function and eating disorders using sparse canonical correlation analysis
Eating disorder is highly associated with obesity and it is related to brain dysfunction as well. Still, the functional substrates of the brain associated with behavioral traits of eating disorder are underexplored. Existing neuroimaging studies have explored the association between eating disorder...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7423138/ https://www.ncbi.nlm.nih.gov/pubmed/32785278 http://dx.doi.org/10.1371/journal.pone.0237511 |
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author | Lee, Hyebin Park, Bo-yong Byeon, Kyoungseob Won, Ji Hye Kim, Mansu Kim, Se-Hong Park, Hyunjin |
author_facet | Lee, Hyebin Park, Bo-yong Byeon, Kyoungseob Won, Ji Hye Kim, Mansu Kim, Se-Hong Park, Hyunjin |
author_sort | Lee, Hyebin |
collection | PubMed |
description | Eating disorder is highly associated with obesity and it is related to brain dysfunction as well. Still, the functional substrates of the brain associated with behavioral traits of eating disorder are underexplored. Existing neuroimaging studies have explored the association between eating disorder and brain function without using all the information provided by the eating disorder related questionnaire but by adopting summary factors. Here, we aimed to investigate the multivariate association between brain function and eating disorder at fine-grained question-level information. Our study is a retrospective secondary analysis that re-analyzed resting-state functional magnetic resonance imaging of 284 participants from the enhanced Nathan Kline Institute-Rockland Sample database. Leveraging sparse canonical correlation analysis, we associated the functional connectivity of all brain regions and all questions in the eating disorder questionnaires. We found that executive- and inhibitory control-related frontoparietal networks showed positive associations with questions of restraint eating, while brain regions involved in the reward system showed negative associations. Notably, inhibitory control-related brain regions showed a positive association with the degree of obesity. Findings were well replicated in the independent validation dataset (n = 34). The results of this study might contribute to a better understanding of brain function with respect to eating disorder. |
format | Online Article Text |
id | pubmed-7423138 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-74231382020-08-20 Multivariate association between brain function and eating disorders using sparse canonical correlation analysis Lee, Hyebin Park, Bo-yong Byeon, Kyoungseob Won, Ji Hye Kim, Mansu Kim, Se-Hong Park, Hyunjin PLoS One Research Article Eating disorder is highly associated with obesity and it is related to brain dysfunction as well. Still, the functional substrates of the brain associated with behavioral traits of eating disorder are underexplored. Existing neuroimaging studies have explored the association between eating disorder and brain function without using all the information provided by the eating disorder related questionnaire but by adopting summary factors. Here, we aimed to investigate the multivariate association between brain function and eating disorder at fine-grained question-level information. Our study is a retrospective secondary analysis that re-analyzed resting-state functional magnetic resonance imaging of 284 participants from the enhanced Nathan Kline Institute-Rockland Sample database. Leveraging sparse canonical correlation analysis, we associated the functional connectivity of all brain regions and all questions in the eating disorder questionnaires. We found that executive- and inhibitory control-related frontoparietal networks showed positive associations with questions of restraint eating, while brain regions involved in the reward system showed negative associations. Notably, inhibitory control-related brain regions showed a positive association with the degree of obesity. Findings were well replicated in the independent validation dataset (n = 34). The results of this study might contribute to a better understanding of brain function with respect to eating disorder. Public Library of Science 2020-08-12 /pmc/articles/PMC7423138/ /pubmed/32785278 http://dx.doi.org/10.1371/journal.pone.0237511 Text en © 2020 Lee et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Lee, Hyebin Park, Bo-yong Byeon, Kyoungseob Won, Ji Hye Kim, Mansu Kim, Se-Hong Park, Hyunjin Multivariate association between brain function and eating disorders using sparse canonical correlation analysis |
title | Multivariate association between brain function and eating disorders using sparse canonical correlation analysis |
title_full | Multivariate association between brain function and eating disorders using sparse canonical correlation analysis |
title_fullStr | Multivariate association between brain function and eating disorders using sparse canonical correlation analysis |
title_full_unstemmed | Multivariate association between brain function and eating disorders using sparse canonical correlation analysis |
title_short | Multivariate association between brain function and eating disorders using sparse canonical correlation analysis |
title_sort | multivariate association between brain function and eating disorders using sparse canonical correlation analysis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7423138/ https://www.ncbi.nlm.nih.gov/pubmed/32785278 http://dx.doi.org/10.1371/journal.pone.0237511 |
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