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@ARTICLE{Arnatkeviciute:904289,
      author       = {Arnatkeviciute, Aurina and Fulcher, Ben D. and Oldham,
                      Stuart and Tiego, Jeggan and Paquola, Casey and Gerring,
                      Zachary and Aquino, Kevin and Hawi, Ziarih and Johnson, Beth
                      and Ball, Gareth and Klein, Marieke and Deco, Gustavo and
                      Franke, Barbara and Bellgrove, Mark A. and Fornito, Alex},
      title        = {{G}enetic influences on hub connectivity of the human
                      connectome},
      journal      = {Nature Communications},
      volume       = {12},
      number       = {1},
      issn         = {2041-1723},
      address      = {[London]},
      publisher    = {Nature Publishing Group UK},
      reportid     = {FZJ-2021-05859},
      pages        = {4237},
      year         = {2021},
      abstract     = {Brain network hubs are both highly connected and highly
                      inter-connected, forming a critical communication backbone
                      for coherent neural dynamics. The mechanisms driving this
                      organization are poorly understood. Using diffusion-weighted
                      magnetic resonance imaging in twins, we identify a major
                      role for genes, showing that they preferentially influence
                      connectivity strength between network hubs of the human
                      connectome. Using transcriptomic atlas data, we show that
                      connected hubs demonstrate tight coupling of transcriptional
                      activity related to metabolic and cytoarchitectonic
                      similarity. Finally, comparing over thirteen generative
                      models of network growth, we show that purely stochastic
                      processes cannot explain the precise wiring patterns of
                      hubs, and that model performance can be improved by
                      incorporating genetic constraints. Our findings indicate
                      that genes play a strong and preferential role in shaping
                      the functionally valuable, metabolically costly connections
                      between connectome hubs.},
      cin          = {INM-1},
      ddc          = {500},
      cid          = {I:(DE-Juel1)INM-1-20090406},
      pnm          = {5251 - Multilevel Brain Organization and Variability
                      (POF4-525) / HIBALL - Helmholtz International BigBrain
                      Analytics and Learning Laboratory (HIBALL) (InterLabs-0015)},
      pid          = {G:(DE-HGF)POF4-5251 / G:(DE-HGF)InterLabs-0015},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:34244483},
      UT           = {WOS:000674487100036},
      doi          = {10.1038/s41467-021-24306-2},
      url          = {https://juser.fz-juelich.de/record/904289},
}