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@ARTICLE{Park:904411,
author = {Park, Bo-yong and Park, Hyunjin and Morys, Filip and Kim,
Mansu and Byeon, Kyoungseob and Lee, Hyebin and Kim, Se-Hong
and Valk, Sofie L. and Dagher, Alain and Bernhardt, Boris
C.},
title = {{I}nter-individual body mass variations relate to
fractionated functional brain hierarchies},
journal = {Communications biology},
volume = {4},
number = {1},
issn = {2399-3642},
address = {London},
publisher = {Springer Nature},
reportid = {FZJ-2021-05981},
pages = {735},
year = {2021},
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.},
cin = {INM-7},
ddc = {570},
cid = {I:(DE-Juel1)INM-7-20090406},
pnm = {5251 - Multilevel Brain Organization and Variability
(POF4-525)},
pid = {G:(DE-HGF)POF4-5251},
typ = {PUB:(DE-HGF)16},
pubmed = {pmid:34127795},
UT = {WOS:000663716200006},
doi = {10.1038/s42003-021-02268-x},
url = {https://juser.fz-juelich.de/record/904411},
}