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@ARTICLE{Amunts:878160,
      author       = {Amunts, Katrin and Mohlberg, Hartmut and Bludau, Sebastian
                      and Zilles, Karl},
      title        = {{J}ulich-{B}rain: {A} 3{D} probabilistic atlas of the human
                      brain’s cytoarchitecture},
      journal      = {Science},
      volume       = {369},
      number       = {6506},
      issn         = {0036-8075},
      address      = {Cambridge, Mass.},
      publisher    = {Moses King},
      reportid     = {FZJ-2020-02670},
      pages        = {988-992},
      year         = {2020},
      abstract     = {Cytoarchitecture is a basic principle of microstructural
                      brain parcellation. We introduce Julich-Brain, a
                      three-dimensional atlas containing cytoarchitectonic maps of
                      cortical areas and subcortical nuclei. The atlas is
                      probabilistic, which enables it to account for variations
                      between individual brains. Building such an atlas was highly
                      data- and labor-intensive and required the development of
                      nested, interdependent workflows for detecting borders
                      between brain areas, data processing, provenance tracking,
                      and flexible execution of processing chains to handle large
                      amounts of data at different spatial scales. Full cortical
                      coverage was achieved by the inclusion of gap maps to
                      complement cortical maps. The atlas is dynamic and will be
                      adapted as mapping progresses; it is openly available to
                      support neuroimaging studies as well as modeling and
                      simulation; and it is interoperable, enabling connection to
                      other atlases and resources.},
      cin          = {INM-1 / JARA-HPC},
      ddc          = {500},
      cid          = {I:(DE-Juel1)INM-1-20090406 / $I:(DE-82)080012_20140620$},
      pnm          = {571 - Connectivity and Activity (POF3-571) / HBP SGA1 -
                      Human Brain Project Specific Grant Agreement 1 (720270) /
                      HBP SGA2 - Human Brain Project Specific Grant Agreement 2
                      (785907) / HBP SGA3 - Human Brain Project Specific Grant
                      Agreement 3 (945539) / SMHB - Supercomputing and Modelling
                      for the Human Brain (HGF-SMHB-2013-2017) / Ultra-high
                      resolution 3D models of the human brain for the European
                      Flagship Human Brain Project $(jinm10_20190501)$},
      pid          = {G:(DE-HGF)POF3-571 / G:(EU-Grant)720270 /
                      G:(EU-Grant)785907 / G:(EU-Grant)945539 /
                      G:(DE-Juel1)HGF-SMHB-2013-2017 /
                      $G:(DE-Juel1)jinm10_20190501$},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:32732281},
      UT           = {WOS:000562436800050},
      doi          = {10.1126/science.abb4588},
      url          = {https://juser.fz-juelich.de/record/878160},
}