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@ARTICLE{Zachlod:911496,
      author       = {Zachlod, Daniel and Palomero-Gallagher, Nicola and
                      Dickscheid, Timo and Amunts, Katrin},
      title        = {{M}apping cyto- and receptor architectonics to understand
                      brain function and connectivity},
      journal      = {Biological psychiatry},
      volume       = {93},
      number       = {5},
      issn         = {0006-3223},
      address      = {Amsterdam [u.a.]},
      publisher    = {Elsevier Science},
      reportid     = {FZJ-2022-04758},
      pages        = {471-479},
      year         = {2023},
      abstract     = {This review focuses on cytoarchitectonics and receptor
                      architectonics as biological correlates of function and
                      connectivity. It introduces the 3-dimensional
                      cytoarchitectonic probabilistic maps of cortical areas and
                      nuclei of the Julich-Brain Atlas, available at EBRAINS, to
                      study structure-function relationships. The maps are linked
                      to the BigBrain as microanatomical reference model and
                      template space. The siibra software tool suite enables
                      programmatic access to the maps and to receptor
                      architectonic data that are anchored to brain areas. Such
                      cellular and molecular data are tools for studying magnetic
                      resonance connectivity including modeling and simulation. At
                      the end, we highlight perspectives of the Julich-Brain as
                      well as methodological considerations. Thus, microstructural
                      maps as part of a multimodal atlas help elucidate the
                      biological correlates of large-scale networks and brain
                      function with a high level of anatomical detail, which
                      provides a basis to study brains of patients with
                      psychiatric disorders.},
      cin          = {INM-1},
      ddc          = {610},
      cid          = {I:(DE-Juel1)INM-1-20090406},
      pnm          = {5251 - Multilevel Brain Organization and Variability
                      (POF4-525) / HBP SGA3 - Human Brain Project Specific Grant
                      Agreement 3 (945539) / JL SMHB - Joint Lab Supercomputing
                      and Modeling for the Human Brain (JL SMHB-2021-2027) /
                      HIBALL - Helmholtz International BigBrain Analytics and
                      Learning Laboratory (HIBALL) (InterLabs-0015)},
      pid          = {G:(DE-HGF)POF4-5251 / G:(EU-Grant)945539 / G:(DE-Juel1)JL
                      SMHB-2021-2027 / G:(DE-HGF)InterLabs-0015},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {36567226},
      UT           = {WOS:000927447100001},
      doi          = {10.1016/j.biopsych.2022.09.014},
      url          = {https://juser.fz-juelich.de/record/911496},
}