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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},
}