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@MISC{Amunts:1033954,
      author       = {Amunts, Katrin and Mohlberg, Hartmut and Bludau, Sebastian
                      and Caspers, Svenja and Lewis, L. B. and Eickhoff, Simon and
                      Pieperhoff, Peter},
      title        = {{J}ulich-{B}rain {A}tlas, cytoarchitectonic maps},
      publisher    = {EBRAINS},
      reportid     = {FZJ-2024-06792},
      year         = {2024},
      abstract     = {The Julich-Brain Atlas $(RRID:SCR_023277)$ presents in this
                      dataset cytoarchitectonic maps in several coordinate spaces,
                      such as MNI Colin 27, MNI ICBM 152, and Free Surfer
                      FsAverage-7. These maps originate from peer-reviewed
                      probability maps (PMs) that define both cortical and
                      subcortical brain regions. Notably, these probability maps
                      account for the brain's inter-individual variability by
                      analyzing data from ten post-mortem samples. For a
                      whole-brain parcellation, the available probability maps are
                      combined into a maximum probability map (MPM) by considering
                      for each voxel the probability of all cytoarchitectonic
                      brain regions, and determining the most probable assignment.
                      The atlas was used as a reference atlas for the Human Brain
                      Project and is deeply embedded within the European research
                      infrastructure platform, EBRAINS. Furthermore, the atlas is
                      continuously evolving and regularly updated with new areas.
                      The [siibra toolsuite](https://siibra-python.readthedocs.io)
                      provides an automated access to the Atlas, to speed up your
                      work.},
      keywords     = {Neuroscience (Other)},
      cin          = {INM-1 / INM-7},
      cid          = {I:(DE-Juel1)INM-1-20090406 / I:(DE-Juel1)INM-7-20090406},
      pnm          = {5254 - Neuroscientific Data Analytics and AI (POF4-525) /
                      EBRAINS 2.0 - EBRAINS 2.0: A Research Infrastructure to
                      Advance Neuroscience and Brain Health (101147319)},
      pid          = {G:(DE-HGF)POF4-5254 / G:(EU-Grant)101147319},
      typ          = {PUB:(DE-HGF)32},
      doi          = {10.25493/KNSN-XB4},
      url          = {https://juser.fz-juelich.de/record/1033954},
}