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@MISC{PalomeroGallagher:888103,
      author       = {Palomero-Gallagher, Nicola and Eickhoff, Simon and
                      Hoffstaedter, Felix and Schleicher, Axel and Mohlberg,
                      Hartmut and Vogt, Brent Alan and Amunts, Katrin and Zilles,
                      Karl},
      title        = {{P}robabilistic cytoarchitectonic map of {A}rea s32
                      (s{ACC}) (v16.1)},
      publisher    = {Human Brain Project Neuroinformatics Platform},
      reportid     = {FZJ-2020-04680},
      year         = {2019},
      abstract     = {This dataset contains the distinct architectonic Area s32
                      (sACC) in the individual, single subject template of the MNI
                      Colin 27 as well as the MNI ICBM 152 2009c nonlinear
                      asymmetric reference space. As part of the Julich-Brain
                      cytoarchitectonic atlas, the area was identified using
                      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 both reference spaces, where each voxel was assigned the
                      probability to belong to Area s32 (sACC). The probability
                      map of Area s32 (sACC) is provided in the NifTi format for
                      each brain reference space and hemisphere. 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 integration of new brain structures may lead to small
                      deviations in earlier released datasets. Other available
                      data versions of Area s32 (sACC): Palomero-Gallagher et al.
                      (2018) [Data set, v16.0] [DOI:
                      $10.25493/3PBV-WH0](https://doi.org/10.25493\%2F3PBV-WH0)$
                      The most probable delineation of Area s32 (sACC) 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, v1.13] [DOI:
                      $10.25493/Q3ZS-NV6](https://doi.org/10.25493\%2FQ3ZS-NV6)$
                      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/XTRR-172},
      url          = {https://juser.fz-juelich.de/record/888103},
}