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@MISC{Kuckertz:1048395,
      author       = {Kuckertz, Anika and Haghir, Hossein and Palomero-Gallagher,
                      Nicola and Funck, Thomas and Palomero-Gallagher, Nicola},
      title        = {{P}arcellation scheme of rat iso- and proisocortical areas
                      in {W}axholm space (v1)},
      publisher    = {EBRAINS},
      reportid     = {FZJ-2025-04610},
      year         = {2025},
      abstract     = {The present dataset provides a three-dimensional (3D) map
                      of the rat iso- and proisocortex anchored in the
                      standardized coordinate system of the Waxholm rat brain
                      space. The parcellation encompasses 53 distinct areas and is
                      the result of a multimodal analysis based on the
                      heterogeneous regional and laminar distribution patterns of
                      cell bodies and of muscarinic acetylcholine M2 receptors
                      visualized in 2D sections. The receptor autoradiographs of a
                      rat brain serially sectioned in the coronal plane were 3D
                      reconstructed and anchored in Waxholm space. The ensuing
                      transformation matrices were then applied to the
                      delineations of the identified areas on the corresponding 2D
                      autoradiographs, resulting in the registration of the
                      location and extent of each area to the 3D reference Waxholm
                      Space of the rat brain. This novel parcellation scheme of
                      the rat iso- and proisocortical areas provides a
                      high-resolution reference resource for the architectonically
                      informed analysis of in vivo data and computational
                      modelling approaches of the rat brain. As a dynamic
                      framework, the Waxholm Rat Brain Atlas can be expanded by
                      data of e.g., further neurotransmitter receptor types and
                      brain regions.},
      keywords     = {Neuroscience (Other)},
      cin          = {INM-1},
      cid          = {I:(DE-Juel1)INM-1-20090406},
      pnm          = {5254 - Neuroscientific Data Analytics and AI (POF4-525)},
      pid          = {G:(DE-HGF)POF4-5254},
      typ          = {PUB:(DE-HGF)32},
      doi          = {10.25493/B4DF-8WF},
      url          = {https://juser.fz-juelich.de/record/1048395},
}