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  Inter-individual body mass variations relate to fractionated functional brain hierarchies

Park, B.-y., Park, H., Morys, F., Kim, M., Byeon, K., Lee, H., et al. (2021). Inter-individual body mass variations relate to fractionated functional brain hierarchies. Communications Biology, 4(1): 735. doi:10.1038/s42003-021-02268-x.

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 Creators:
Park, Bo-yong1, 2, Author
Park, Hyunjin3, 4, Author
Morys, Filip1, Author
Kim, Mansu5, Author
Byeon, Kyoungseob4, 6, Author
Lee, Hyebin4, 6, Author
Kim, Se-Hong7, Author
Valk, Sofie L.8, 9, Author           
Dagher, Alain1, Author
Bernhardt, Boris C.1, Author
Affiliations:
1Montreal Neurological Institute and Hospital, McGill University, Montréal, QC, Canada, ou_persistent22              
2Department of Data Science, Inha University, Incheon, Republic of Korea, ou_persistent22              
3School of Electronic and Electrical Engineering, Sungkyunkwan University, Seoul, Republic of Korea, ou_persistent22              
4Center for Neuroscience Imaging Research, Institute for Basic Science, Daejeon, Republic of Korea, ou_persistent22              
5Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia, PA, USA, ou_persistent22              
6Department of Electrical and Computer Engineering, Sungkyunkwan University, Seoul, Republic of Korea, ou_persistent22              
7Department of Family Medicine, Catholic University of Korea School of Medicine, Seoul, Republic of Korea, ou_persistent22              
8Otto Hahn Group Cognitive Neurogenetics, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_3222264              
9Institute of Neuroscience and Medicine, Research Center Jülich, Germany, ou_persistent22              

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Free keywords: Surface-based analysis; Sleep quality index; Resting-state; Network centrality; Neural mechanisms; Eating behaviors; Reward systems; Food reward; Obesity; Connectivity
 Abstract: Variations in body mass index (BMI) have been suggested to relate to atypical brain organization, yet connectome-level substrates of BMI and their neurobiological underpinnings remain unclear. Studying 325 healthy young adults, we examined associations between functional connectivity and inter-individual BMI variations. We utilized non-linear connectome manifold learning techniques to represent macroscale functional organization along continuous hierarchical axes that dissociate low level and higher order brain systems. We observed an increased differentiation between unimodal and heteromodal association networks in individuals with higher BMI, indicative of a disrupted modular architecture and hierarchy of the brain. Transcriptomic decoding and gene enrichment analyses identified genes previously implicated in genome-wide associations to BMI and specific cortical, striatal, and cerebellar cell types. These findings illustrate functional connectome substrates of BMI variations in healthy young adults and point to potential molecular associations. Bo-yong Park et al. use non-linear connectome manifold learning to examine the association between brain connectivity and inter-individual body mass index (BMI) in 325 young adults. They supplement these analyses with existing transcriptomic data, altogether suggesting several neural and molecular associations that may underlie BMI variations in healthy young adults.

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Language(s): eng - English
 Dates: 2020-11-102021-05-062021-06-14
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1038/s42003-021-02268-x
PMID: 34127795
PMC: PMC8203627
 Degree: -

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Project name : -
Grant ID : 64617-01
Funding program : -
Funding organization : Inha University
Project name : -
Grant ID : NRF-2020R1A6A3A03037088
Funding program : -
Funding organization : National Research Foundation of Korea
Project name : -
Grant ID : 1304413
Funding program : -
Funding organization : National Science and Engineering Research Council of Canada
Project name : -
Grant ID : FDN-154298, PJT-174995
Funding program : -
Funding organization : Canadian Institutes of Health Research
Project name : -
Grant ID : NI17-039
Funding program : -
Funding organization : SickKids Foundation

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Title: Communications Biology
Source Genre: Journal
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Affiliations:
Publ. Info: London : Springer Nature
Pages: - Volume / Issue: 4 (1) Sequence Number: 735 Start / End Page: - Identifier: ISSN: 2399-3642
CoNE: https://pure.mpg.de/cone/journals/resource/2399-3642