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@MISC{PalomeroGallagher:888096,
      author       = {Palomero-Gallagher, Nicola and Hoffstaedter, Felix and
                      Mohlberg, Hartmut and Eickhoff, Simon and Amunts, Katrin and
                      Zilles, Karl},
      title        = {{P}robabilistic cytoarchitectonic map of {A}rea p32
                      (p{ACC}) (v16.0)},
      publisher    = {Human Brain Project Neuroinformatics Platform},
      reportid     = {FZJ-2020-04673},
      year         = {2019},
      abstract     = {This dataset contains the distinct probabilistic
                      cytoarchitectonic map of Area p32 (pACC) in the individual,
                      single subject template of the MNI Colin 27 reference space.
                      As part of the Julich-Brain cytoarchitectonic atlas, the
                      area was identified using classical histological criteria
                      and quantitative cytoarchitectonic analysis on
                      cell-body-stained histological sections of 10 human
                      postmortem brains obtained from the body donor program of
                      the University of Düsseldorf. The results of the
                      cytoarchitectonic analysis were then mapped to the reference
                      space, where each voxel was assigned the probability to
                      belong to Area p32 (pACC). The probability map of Area p32
                      (pACC) is provided in NifTi format for each hemisphere in
                      the reference space. The Julich-Brain atlas relies on a
                      modular, flexible and adaptive framework containing
                      workflows to create the probabilistic brain maps for these
                      structures. Note that methodological improvements and
                      updated probability estimates for new brain structures may
                      in some cases lead to measurable but negligible deviations
                      of existing probability maps, as compared to earlier
                      released datasets. Other available data versions of Area p32
                      (pACC): Palomero-Gallagher et al. (2019) [Data set, v16.1]
                      [DOI:
                      $10.25493/3JX0-7E5](https://doi.org/10.25493\%2F3JX0-7E5)$
                      The most probable delineation of Area p32 (pACC) derived
                      from the calculation of a maximum probability map of all
                      currently released Julich-Brain brain structures can be
                      found here: Amunts et al. (2019) [Data set, v1.18] [DOI:
                      $10.25493/8EGG-ZAR](https://doi.org/10.25493\%2F8EGG-ZAR)$
                      Amunts et al. (2020) [Data set, v2.2] [DOI:
                      $10.25493/TAKY-64D](https://doi.org/10.25493\%2FTAKY-64D)$},
      cin          = {INM-1 / INM-7},
      cid          = {I:(DE-Juel1)INM-1-20090406 / I:(DE-Juel1)INM-7-20090406},
      pnm          = {574 - Theory, modelling and simulation (POF3-574) / HBP
                      SGA2 - Human Brain Project Specific Grant Agreement 2
                      (785907)},
      pid          = {G:(DE-HGF)POF3-574 / G:(EU-Grant)785907},
      typ          = {PUB:(DE-HGF)32},
      doi          = {10.25493/FZXB-M6S},
      url          = {https://juser.fz-juelich.de/record/888096},
}