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@ARTICLE{Wagstyl:874991,
      author       = {Wagstyl, Konrad and Larocque, Stéphanie and Cucurull,
                      Guillem and Lepage, Claude and Cohen, Joseph Paul and
                      Bludau, Sebastian and Palomero-Gallagher, Nicola and Lewis,
                      Lindsay B and Funck, Thomas and Spitzer, Hannah and
                      Dickscheid, Timo and Fletcher, Paul C and Romero, Adriana
                      and Zilles, Karl and Amunts, Katrin and Bengio, Yoshua and
                      Evans, Alan C},
      title        = {{B}ig{B}rain 3{D} atlas of cortical layers: {C}ortical and
                      laminar thickness gradients diverge in sensory and motor
                      cortices},
      journal      = {PLoS biology},
      volume       = {18},
      number       = {4},
      issn         = {1545-7885},
      address      = {Lawrence, KS},
      publisher    = {PLoS},
      reportid     = {FZJ-2020-01753},
      pages        = {e3000678},
      year         = {2020},
      abstract     = {Histological atlases of the cerebral cortex, such as those
                      made famous by Brodmann and von Economo, are invaluable for
                      understanding human brain microstructure and its
                      relationship with functional organization in the brain.
                      However, these existing atlases are limited to small numbers
                      of manually annotated samples from a single cerebral
                      hemisphere, measured from 2D histological sections. We
                      present the first whole-brain quantitative 3D laminar atlas
                      of the human cerebral cortex. It was derived from a 3D
                      histological atlas of the human brain at 20-micrometer
                      isotropic resolution (BigBrain), using a convolutional
                      neural network to segment, automatically, the cortical
                      layers in both hemispheres. Our approach overcomes many of
                      the historical challenges with measurement of histological
                      thickness in 2D, and the resultant laminar atlas provides an
                      unprecedented level of precision and detail. We utilized
                      this BigBrain cortical atlas to test whether previously
                      reported thickness gradients, as measured by MRI in sensory
                      and motor processing cortices, were present in a
                      histological atlas of cortical thickness and which cortical
                      layers were contributing to these gradients. Cortical
                      thickness increased across sensory processing hierarchies,
                      primarily driven by layers III, V, and VI. In contrast,
                      motor-frontal cortices showed the opposite pattern, with
                      decreases in total and pyramidal layer thickness from motor
                      to frontal association cortices. These findings illustrate
                      how this laminar atlas will provide a link between
                      single-neuron morphology, mesoscale cortical layering,
                      macroscopic cortical thickness, and, ultimately, functional
                      neuroanatomy.},
      cin          = {INM-1},
      ddc          = {610},
      cid          = {I:(DE-Juel1)INM-1-20090406},
      pnm          = {571 - Connectivity and Activity (POF3-571)},
      pid          = {G:(DE-HGF)POF3-571},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:32243449},
      UT           = {WOS:000531804900007},
      doi          = {10.1371/journal.pbio.3000678},
      url          = {https://juser.fz-juelich.de/record/874991},
}