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@ARTICLE{Wojtasik:874486,
      author       = {Wojtasik, Magdalena and Bludau, Sebastian and Eickhoff,
                      Simon B. and Mohlberg, Hartmut and Gerboga, Fatma and
                      Caspers, Svenja and Amunts, Katrin},
      title        = {{C}ytoarchitectonic {C}haracterization and {F}unctional
                      {D}ecoding of {F}our {N}ew {A}reas in the {H}uman {L}ateral
                      {O}rbitofrontal {C}ortex},
      journal      = {Frontiers in neuroanatomy},
      volume       = {14},
      issn         = {1662-5129},
      address      = {Lausanne},
      publisher    = {Frontiers Research Foundation},
      reportid     = {FZJ-2020-01465},
      pages        = {2},
      year         = {2020},
      note         = {We thank Prof. Karl Zilles and Prof. Rüdiger Seitz for
                      their continuous input and support throughout the whole
                      project time. Special thanks also go out to Julia Camilleri
                      for her assistance and help.},
      abstract     = {A comprehensive concept of the biological basis of reward,
                      social and emotional behavior, and language requires a
                      deeper understanding of the microstructure and connectivity
                      of the underlying brain regions. Such understanding could
                      provide deeper insights into their role in functional
                      networks, and form the anatomical basis of the functional
                      segregation of this region as shown in recent in vivo
                      imaging studies. Here, we investigated the cytoarchitecture
                      of the lateral orbitofrontal cortex (lateral OFC) in serial
                      histological sections of 10 human postmortem brains by image
                      analysis and a statistically reproducible approach to detect
                      borders between cortical areas. Profiles of the volume
                      fraction of cell bodies were therefore extracted from
                      digitized histological images, describing laminar changes
                      from the layer I/layer II boundary to the white matter. As a
                      result, four new areas, Fo4–7, were identified. Area Fo4
                      was mainly found in the anterior orbital gyrus (AOG), Fo5
                      anteriorly in the inferior frontal gyrus (IFG), Fo6 in the
                      lateral orbital gyrus (LOG), and Fo7 in the lateral orbital
                      sulcus. Areas differed in cortical thickness, abundance and
                      size of pyramidal cells in layer III and degree of
                      granularity in layer IV. A hierarchical cluster analysis was
                      used to quantify cytoarchitectonic differences between them.
                      The 3D-reconstructed areas were transformed into the
                      single-subject template of the Montreal Neurological
                      Institute (MNI), where probabilistic maps and a maximum
                      probability map (MPM) were calculated as part of the JuBrain
                      Cytoarchitectonic Atlas. These maps served as reference data
                      to study the functional properties of the areas using the
                      BrainMap database. The type of behavioral tasks that
                      activated them was analyzed to get first insights of
                      co-activation patterns of the lateral OFC and its
                      contribution to cognitive networks. Meta-analytic
                      connectivity modeling (MACM) showed that functional decoding
                      revealed activation in gustatory perception in Fo4; reward
                      and somesthetic perception in Fo5; semantic processing and
                      pain perception in Fo6; and emotional processing and covert
                      reading in Fo7. Together with existing maps of the JuBrain
                      Cytoarchitectonic Atlas, the new maps can now be used as an
                      open-source reference for neuroimaging studies, allowing to
                      further decode brain function.},
      cin          = {INM-1 / INM-7},
      ddc          = {610},
      cid          = {I:(DE-Juel1)INM-1-20090406 / I:(DE-Juel1)INM-7-20090406},
      pnm          = {571 - Connectivity and Activity (POF3-571) / HBP SGA2 -
                      Human Brain Project Specific Grant Agreement 2 (785907)},
      pid          = {G:(DE-HGF)POF3-571 / G:(EU-Grant)785907},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:32116573},
      UT           = {WOS:000517116500001},
      doi          = {10.3389/fnana.2020.00002},
      url          = {https://juser.fz-juelich.de/record/874486},
}