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@MISC{Malikovic:888094,
      author       = {Malikovic, A. and Amunts, Katrin and Schleicher, Axel and
                      Mohlberg, Hartmut and Kujovic, M. and Palomero-Gallagher,
                      Nicola and Eickhoff, Simon and Zilles, Karl},
      title        = {{P}robabilistic cytoarchitectonic map of {A}rea h{O}c4la
                      ({LOC}) (v3.4)},
      publisher    = {Human Brain Project Neuroinformatics Platform},
      reportid     = {FZJ-2020-04671},
      year         = {2019},
      abstract     = {This dataset contains the distinct architectonic Area
                      hOc4la (LOC) 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 hOc4la (LOC). The probability
                      map of Area hOc4la (LOC) 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 hOc4la (LOC): Malikovic et al. (2018)
                      [Data set, v3.2] [DOI:
                      $10.25493/FCQW-EZU](https://doi.org/10.25493\%2FFCQW-EZU)$
                      The most probable delineation of Area hOc4la (LOC) 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/Z9JX-WKB},
      url          = {https://juser.fz-juelich.de/record/888094},
}