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@MISC{Popovych:888787,
      author       = {Popovych, Oleksandr and Jung, Kyesam and Domhof, Justin and
                      Eickhoff, Simon},
      title        = {{A}veraged structural and functional connectivities of
                      healthy cohorts based on whole-brain parcellations},
      publisher    = {EBRAINS},
      reportid     = {FZJ-2020-05216},
      year         = {2020},
      abstract     = {Brain connectivity is one of the main objects of brain
                      research reflecting the interaction between neuronal
                      populations at a variety of spatial and temporal scales and
                      modalities. The main approaches include the extraction and
                      analysis of the structural connectivity (SC) representing
                      the anatomical axonal tracts and functional connectivity
                      (FC) representing the temporal correlation between neuronal
                      activity of brain regions. Extraction of SC and FC is a
                      complex process requiring a deep knowledge of the data
                      processing methods. The current project is aimed at
                      facilitation of this process and provides an access to the
                      extracted brain connectivities ready for further usage. The
                      data includes SC and resting-state FC for several brain
                      atlases of different granularity, where the parcellation is
                      performed based on functional, anatomical and
                      cytoarchitectonic brain properties. The connectivity is
                      extracted and averaged over several hundreds of healthy
                      subjects from well-known public repositories of neuroimaging
                      data, including the Human Connectome Project (HCP) [Van
                      Essen et al.,
                      2013](https://doi.org/10.1016/j.neuroimage.2013.05.041) and
                      Enhanced Nathan Klein Institute Rockland Sample (eNKI)
                      [Nooner et al.,
                      2012](https://dx.doi.org/10.3389/fnins.2012.00152). The
                      provided SC and FC can be used for group-level
                      investigations of the connectivities and for data-driven
                      mathematical modeling of the resting-state brain dynamics.},
      cin          = {INM-7},
      cid          = {I:(DE-Juel1)INM-7-20090406},
      pnm          = {574 - Theory, modelling and simulation (POF3-574) / HBP
                      SGA1 - Human Brain Project Specific Grant Agreement 1
                      (720270) / HBP SGA2 - Human Brain Project Specific Grant
                      Agreement 2 (785907)},
      pid          = {G:(DE-HGF)POF3-574 / G:(EU-Grant)720270 /
                      G:(EU-Grant)785907},
      typ          = {PUB:(DE-HGF)32},
      doi          = {10.25493/C2CW-HFW},
      url          = {https://juser.fz-juelich.de/record/888787},
}