Structural and Functional Brain Connectivity Changes Between People With Abdominal and Non-abdominal Obesity and Their Association With Behaviors of Eating Disorders

Bo Yong Park, Mi Ji Lee, Mansu Kim, Se Hong Kim, Hyunjin Park

Research output: Contribution to journalArticlepeer-review

29 Scopus citations

Abstract

Abdominal obesity is important for understanding obesity, which is a worldwide medical problem. We explored structural and functional brain differences in people with abdominal and non-abdominal obesity by using multimodal neuroimaging and up-to-date analysis methods. A total of 274 overweight people, whose body mass index exceeded 25, were enrolled in this study. Participants were divided into abdominal and non-abdominal obesity groups using a waist-hip ratio threshold of 0.9 for males and 0.85 for females. Structural and functional brain differences were assessed with diffusion tensor imaging and resting-state functional magnetic resonance imaging. Centrality measures were computed from structural fiber tractography, and static and dynamic functional connectivity matrices. Significant inter-group differences in structural and functional connectivity were found using degree centrality (DC) values. The associations between the DC values of the identified regions/networks and behaviors of eating disorder scores were explored. The highest association was achieved by combining DC values of the cerebral peduncle, anterior corona radiata, posterior corona radiata (from structural connectivity), frontoparietal network (from static connectivity), and executive control network (from dynamic connectivity) compared to the use of structural or functional connectivity only. Our results demonstrated the effectiveness of multimodal imaging data and found brain regions or networks that may be responsible for behaviors of eating disorders in people with abdominal obesity.

Original languageEnglish
Article number741
JournalFrontiers in Neuroscience
Volume12
Issue numberOCT
DOIs
StatePublished - 11 Oct 2018

Bibliographical note

Funding Information:
This work was supported by the Institute for Basic Science (Grant No. IBS-R015-D1), the NRF (National Research Foundation of Korea) (Grant Nos. NRF-2016H1A2A1907833, NRF-2016R1A2B4008545, NRF-2017R1A2B2009086, and NRF-2017R1A2B4007254), and the Ministry of Science and ICT of Korea under the ITRC program (IITP-2018-0-01798).

Publisher Copyright:
Copyright © 2018 Park, Lee, Kim, Kim and Park. 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.

Keywords

  • : abdominal obesity
  • Eating disorder behaviors
  • Multimodal imaging analysis
  • Probabilistic fiber tractography
  • Static and dynamic connectivity analysis

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