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@INPROCEEDINGS{Jung:905257,
      author       = {Jung, Kyesam and Eickhoff, Simon and Popovych, Oleksandr},
      title        = {{T}ractography density affects whole-brain structural
                      architecture and resting-state dynamical modeling},
      reportid     = {FZJ-2022-00540},
      year         = {2021},
      abstract     = {Dynamical modeling of the resting-state brain dynamics
                      essentially relies on the empirical neuroimaging data
                      utilized for the model derivation and validation. There is
                      however still no standardized data processing for magnetic
                      resonance imaging pipelines and the structural and
                      functionalconnectomes involved in the models. In this study,
                      we thus address how the parameters of diffusion-weighted
                      data processing for structural connectivity (SC) can
                      influence the validation results of thewhole-brain
                      mathematical models informed by SC. For this, we introduce a
                      set of simulation conditions including the varying number of
                      total streamlines of the whole-brain tractography (WBT)used
                      for extraction of SC, cortical parcellations based on
                      functional and anatomical brain propertiesand distinct model
                      fitting modalities. The main objective of this study is to
                      explore how the qualityof the model validation can vary
                      across the considered simulation conditions. We observed
                      that thegraph-theoretical network properties of structural
                      connectome can be affected by varying tractography density
                      and strongly relate to the model performance. We also found
                      that the optimal numberof the total streamlines of WBT can
                      vary for different brain atlases. Consequently, we suggest a
                      wayhow to improve the model performance based on the network
                      properties and the optimal parameter configurations from
                      multiple WBT conditions. Furthermore, the population of
                      subjects can bestratified into subgroups with divergent
                      behaviors induced by the varying WBT density such
                      thatdifferent recommendations can be made with respect to
                      the data processing for individual subjectsand brain
                      parcellations. Consequently, we list a few tentative
                      guidelines to possible evaluation ofpersonalized optimal
                      number of the WBT streamlines for the whole-brain model of
                      the resting-statebrain dynamics.},
      month         = {Oct},
      date          = {2021-10-05},
      organization  = {INM $\&$ IBI Retreat 2021,
                       Forschungszentrum Jülich, Virtual
                       Conference (Germany), 5 Oct 2021 - 6
                       Oct 2021},
      subtyp        = {After Call},
      cin          = {INM-7},
      cid          = {I:(DE-Juel1)INM-7-20090406},
      pnm          = {5232 - Computational Principles (POF4-523) / 5231 -
                      Neuroscientific Foundations (POF4-523) / 5254 -
                      Neuroscientific Data Analytics and AI (POF4-525) / HBP SGA2
                      - Human Brain Project Specific Grant Agreement 2 (785907) /
                      HBP SGA3 - Human Brain Project Specific Grant Agreement 3
                      (945539) / VirtualBrainCloud - Personalized Recommendations
                      for Neurodegenerative Disease (826421)},
      pid          = {G:(DE-HGF)POF4-5232 / G:(DE-HGF)POF4-5231 /
                      G:(DE-HGF)POF4-5254 / G:(EU-Grant)785907 /
                      G:(EU-Grant)945539 / G:(EU-Grant)826421},
      typ          = {PUB:(DE-HGF)24},
      url          = {https://juser.fz-juelich.de/record/905257},
}