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Structural and functional brain connectivity of people with obesity and prediction of body mass index using connectivity

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Title
Structural and functional brain connectivity of people with obesity and prediction of body mass index using connectivity
Author(s)
Bo-yong Park; Jongbum Seo; Juneho Yi; Hyunjin Park
Publication Date
2015-11
Journal
PLOS ONE, v.10, no.11, pp.1 - 14
Publisher
PUBLIC LIBRARY SCIENCE
Abstract
Obesity is a medical condition affecting billions of people. Various neuroimaging methods including magnetic resonance imaging (MRI) have been used to obtain information about obesity. We adopted a multi-modal approach combining diffusion tensor imaging (DTI) and resting state functional MRI (rs-fMRI) to incorporate complementary information and thus better investigate the brains of non-healthy weight subjects. The objective of this study was to explore multi-modal neuroimaging and use it to predict a practical clinical score, body mass index (BMI). Connectivity analysis was applied to DTI and rs-fMRI. Significant regions and associated imaging features were identified based on group-wise differences between healthy weight and non-healthy weight subjects. Six DTI-driven connections and 10 rs-fMRI-driven connectivities were identified. DTI-driven connections better reflected group-wise differences than did rs-fMRI-driven connectivity. We predicted BMI values using multi-modal imaging features in a partial least-square regression framework (percent error 15.0%). Our study identified brain regions and imaging features that can adequately explain BMI. We identified potentially good imaging biomarker candidates for obesity-related diseases.
URI
http://pr.ibs.re.kr/handle/8788114/2259
DOI
10.1371/journal.pone.0141376
ISSN
1932-6203
Appears in Collections:
Center for Neuroscience Imaging Research (뇌과학 이미징 연구단) > Journal Papers (저널논문)
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