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@ARTICLE{Friedrich:906419,
      author       = {Friedrich, Patrick and Forkel, Stephanie J. and Thiebaut de
                      Schotten, Michel},
      title        = {{M}apping the principal gradient onto the corpus callosum},
      journal      = {NeuroImage},
      volume       = {223},
      issn         = {1053-8119},
      address      = {Orlando, Fla.},
      publisher    = {Academic Press},
      reportid     = {FZJ-2022-01433},
      pages        = {117317 -},
      year         = {2020},
      abstract     = {Gradients capture some of the variance of the resting-state
                      functional magnetic resonance imaging (rsfMRI) signal.
                      Amongst these, the principal gradient depicts a functional
                      processing hierarchy that spans from sensory-motor cortices
                      to regions of the default-mode network. While the cortex has
                      been well characterised in terms of gradients little is
                      known about its underlying white matter. For instance,
                      comprehensive mapping of the principal gradient on the
                      largest white matter tract, the corpus callosum, is still
                      missing. Here, we mapped the principal gradient onto the
                      midsection of the corpus callosum using the 7T human
                      connectome project dataset. We further explored how
                      quantitative measures and variability in callosal midsection
                      connectivity relate to the principal gradient values. In so
                      doing, we demonstrated that the extreme values of the
                      principal gradient are located within the callosal genu and
                      the posterior body, have lower connectivity variability but
                      a larger spatial extent along the midsection of the corpus
                      callosum than mid-range values. Our results shed light on
                      the relationship between the brain's functional hierarchy
                      and the corpus callosum. We further speculate about how
                      these results may bridge the gap between functional
                      hierarchy, brain asymmetries, and evolution.},
      cin          = {INM-7},
      ddc          = {610},
      cid          = {I:(DE-Juel1)INM-7-20090406},
      pnm          = {5251 - Multilevel Brain Organization and Variability
                      (POF4-525) / DISCONNECTOME - Brain connections, Stroke,
                      Symptoms Predictions and Brain Repair (818521)},
      pid          = {G:(DE-HGF)POF4-5251 / G:(EU-Grant)818521},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {32882387},
      UT           = {WOS:000582799600034},
      doi          = {10.1016/j.neuroimage.2020.117317},
      url          = {https://juser.fz-juelich.de/record/906419},
}