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@MISC{Kedo:1033961,
      author       = {Kedo, Olga and Mohlberg, Hartmut and Bludau, Sebastian and
                      Amunts, Katrin},
      title        = {{P}robabilistic cytoarchitectonic map of {A}rea
                      {P}ir{T}.{T}u ({P}iriform{C}ortex{M}esial, {P}iriform
                      temporal {A}rea, {U}ncus) (v5.0)},
      publisher    = {EBRAINS},
      reportid     = {FZJ-2024-06797},
      year         = {2024},
      abstract     = {This dataset contains the probabilistic map (PM) of
                      Piriform temporal area, Uncus (Area PirT.Tu
                      (PiriformCortexMesial, Piriform temporal Area, Uncus)) of
                      the piriform cortex of the human brain. As part of the
                      Julich-Brain Atlas (JBA), 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 common brain reference spaces, where each voxel was
                      assigned the probability to belong to Area PirT.Tu
                      (PiriformCortexMesial, Piriform temporal Area, Uncus). The
                      PM of Area PirT.Tu (PiriformCortexMesial, Piriform temporal
                      Area, Uncus) is provided in NifTi-1 format for each brain
                      reference space and hemisphere. The JBA relies on a modular,
                      flexible and adaptive framework containing workflows to
                      create the probabilistic brain maps for these structures
                      that was described by [Amunts et al. in
                      2020](https://doi.org/10.1126/science.abb4588). Note that
                      methodological improvements and integration of new brain
                      structures may lead to small deviations in earlier released
                      datasets.},
      keywords     = {Neuroscience (Other)},
      cin          = {INM-1},
      cid          = {I:(DE-Juel1)INM-1-20090406},
      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) / HBP SGA3
                      - Human Brain Project Specific Grant Agreement 3 (945539) /
                      HIBALL - Helmholtz International BigBrain Analytics and
                      Learning Laboratory (HIBALL) (InterLabs-0015)},
      pid          = {G:(DE-HGF)POF4-5254 / G:(EU-Grant)101147319 /
                      G:(EU-Grant)945539 / G:(DE-HGF)InterLabs-0015},
      typ          = {PUB:(DE-HGF)32},
      doi          = {10.25493/FEDE-Y69},
      url          = {https://juser.fz-juelich.de/record/1033961},
}