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@ARTICLE{Wang:1042420,
      author       = {Wang, Yezhou and Eichert, Nicole and Paquola, Casey and
                      Rodriguez-Cruces, Raul and DeKraker, Jordan and Royer,
                      Jessica and Cabalo, Donna Gift and Auer, Hans and Ngo,
                      Alexander and Leppert, Ilana R. and Tardif, Christine L. and
                      Rudko, David A. and Leech, Robert and Amunts, Katrin and
                      Valk, Sofie and Smallwood, Jonathan and Evans, Alan C. and
                      Bernhardt, Boris C.},
      title        = {{M}ultimodal gradients unify local and global cortical
                      organization},
      journal      = {Nature Communications},
      volume       = {16},
      number       = {1},
      issn         = {2041-1723},
      address      = {[London]},
      publisher    = {Springer Nature},
      reportid     = {FZJ-2025-02568},
      pages        = {3911},
      year         = {2025},
      abstract     = {Functional specialization of brain areas and subregions, as
                      well as their integration into large-scale networks, are key
                      principles in neuroscience. Consolidating both local and
                      global perspectives on cortical organization, however,
                      remains challenging. Here, we present an approach to
                      integrate inter- and intra-areal similarities of
                      microstructure, structural connectivity, and functional
                      interactions. Using high-field in-vivo 7 tesla (7 T)
                      Magnetic Resonance Imaging (MRI) data and a probabilistic
                      post-mortem atlas of cortical cytoarchitecture, we derive
                      multimodal gradients that capture cortex-wide organization.
                      Inter-areal similarities follow a canonical sensory-fugal
                      gradient, linking cortical integration with functional
                      diversity across tasks. However, intra-areal heterogeneity
                      does not follow this pattern, with greater variability in
                      association cortices. Findings are replicated in an
                      independent 7 T dataset and a 100-subject 3 tesla (3 T)
                      cohort. These results highlight a robust coupling between
                      local arealization and global cortical motifs, advancing our
                      understanding of how specialization and integration shape
                      human brain function.},
      cin          = {INM-1 / INM-7},
      ddc          = {500},
      cid          = {I:(DE-Juel1)INM-1-20090406 / I:(DE-Juel1)INM-7-20090406},
      pnm          = {5251 - Multilevel Brain Organization and Variability
                      (POF4-525) / HIBALL - Helmholtz International BigBrain
                      Analytics and Learning Laboratory (HIBALL) (InterLabs-0015)
                      / EBRAINS 2.0 - EBRAINS 2.0: A Research Infrastructure to
                      Advance Neuroscience and Brain Health (101147319)},
      pid          = {G:(DE-HGF)POF4-5251 / G:(DE-HGF)InterLabs-0015 /
                      G:(EU-Grant)101147319},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {40280959},
      UT           = {WOS:001476786100005},
      doi          = {10.1038/s41467-025-59177-4},
      url          = {https://juser.fz-juelich.de/record/1042420},
}