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@ARTICLE{Wang:1024255,
      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 and Tardif, Christine L. and
                      Rudko, David A. and Amunts, Katrin and Smallwood, Jonathan
                      and Evans, Alan C. and Bernhardt, Boris C.},
      title        = {{MULTIMODAL} {GRADIENTS} {UNIFY} {LOCAL} {AND} {GLOBAL}
                      {CORTICAL} {ORGANIZATION}},
      reportid     = {FZJ-2024-02062},
      year         = {2024},
      abstract     = {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 cortical organization, however, remains challenging.
                      Our study developed a new approach to map global cortex-wise
                      similarities of microstructure, structural connectivity, and
                      functional interactions, and integrate these patterns with
                      maps of cortical arealization. Our analysis combined
                      repeated high-field in-vivo 7 tesla (7T) Magnetic Resonance
                      Imaging (MRI) data collected in 10 healthy adults with a
                      recently introduced probabilistic post-mortem atlas of
                      cortical cytoarchitecture. We obtained multimodal
                      eigenvectors describing cortex-wide gradients at the level
                      of microstructural covariance, structural connectivity, and
                      intrinsic functional interactions, and then assessed inter-
                      and intra-area differences in cortex-wide embedding based on
                      these multimodal eigenvectors. Inter-area similarities
                      followed a canonical sensory-fugal gradient, with primary
                      sensorimotor cortex being the most distinctive from all
                      other areas, while paralimbic regions were least
                      distinctive. This pattern largely corresponded to functional
                      connectivity variations across different tasks collected in
                      the same participants, suggesting that the degree of global
                      cortical integration mirrors the functional diversity of
                      brain areas across contexts. When studying heterogeneity
                      within areas, we did not observe a similar relationship,
                      despite overall higher heterogeneity in association cortices
                      relative to paralimbic and idiotypic cortices. The results
                      were replicated in a different dataset. Our findings
                      highlight a close coupling between cortical arealization and
                      global cortical motifs in shaping specialized versus
                      integrative human brain function.},
      cin          = {INM-1 / INM-7},
      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)25},
      doi          = {10.1101/2024.03.11.583969},
      url          = {https://juser.fz-juelich.de/record/1024255},
}