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@MISC{Hein:903033,
      author       = {Hein, Marten and Mohlberg, H. and Bludau, S. and Quabs, J.
                      and Amunts, K.},
      title        = {{P}robabilistic cytoarchitectonic map of {A}rea {I}d10
                      ({I}nsula) (v4.0)},
      reportid     = {FZJ-2021-04762},
      year         = {2021},
      abstract     = {This dataset contains cytoarchitectonic probability maps of
                      the Area Id10 (Insula) in the single subject template of the
                      MNI (“Colin 27”) and the MNI ICBM 152 reference space,
                      as part of the Julich-Brain atlas. The area was identified
                      using cytoarchitectonic analysis on cell-body-stained
                      histological sections in both hemispheres of 10 human
                      postmortem brains obtained from the body donor program of
                      the University of Düsseldorf. The maps show the probability
                      to belong to the Area Id10 (Insula) for each voxel of the
                      reference spaces. Data is provided in the NifTi format. The
                      Julich-Brain atlas relies on a modular, flexible and
                      adaptive framework containing workflows to create
                      probabilistic brain maps. Note that methodological
                      improvements and integration of new brain structures may
                      lead to small deviations in earlier released datasets.
                      Delineations of the Area Id10 (Insula) derived from the
                      calculation of a maximum probability map of all currently
                      released Julich-Brain brain structures can be found here:
                      Amunts et al. (2021) [Data set, v2.9] [DOI:
                      10.25493/VSMK-H94](https://doi.org/10.25493/VSMK-H94)},
      keywords     = {Neuroscience (Other)},
      cin          = {INM-1},
      cid          = {I:(DE-Juel1)INM-1-20090406},
      pnm          = {5254 - Neuroscientific Data Analytics and AI (POF4-525) /
                      HBP SGA3 - Human Brain Project Specific Grant Agreement 3
                      (945539)},
      pid          = {G:(DE-HGF)POF4-5254 / G:(EU-Grant)945539},
      typ          = {PUB:(DE-HGF)32},
      doi          = {10.25493/4N71-6SX},
      url          = {https://juser.fz-juelich.de/record/903033},
}