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@INPROCEEDINGS{Popovych:905211,
      author       = {Popovych, Oleksandr},
      title        = {{O}ptimizing {C}urrent {I}maging {P}ipelines by
                      {W}hole-{B}rain {D}ynamical {M}odels},
      reportid     = {FZJ-2022-00494},
      year         = {2021},
      abstract     = {Investigation of the resting-state brain dynamics involves
                      mathematical modeling of brain activity by whole-brain
                      dynamical models. The structural and functionalbrain
                      connectomes extracted from the neuroimaging data are
                      essentially employed for the model derivation and
                      validation. At this the brain is represented as afunctional
                      network of brain regions defined by a brain atlas (or brain
                      parcellation), while edges represent the structural or
                      functional connectivity among them.There is however no
                      consensus and golden standard for the approaches and
                      parameters of the neuroimaging data processing, which in
                      most cases remain at the levelof best practice. In this
                      project we investigate how such parameters of the data
                      processing can influence the modeling results. In
                      particular, we considered severalbrain parcellations and
                      densities of the whole-brain tractography to evaluate the
                      inter-subject and inter-parcellation variability of the
                      model fitting and itsdependence on a few indices calculated
                      from empirical data. Such data indices can be used to
                      accounting for the variation of the modeling results across
                      simulationconditions and individual subjects, which can help
                      to find optimal data processing and mechanisms for improved
                      personalized modeling of the resting-state braindynamics.},
      organization  = {VSR Seminar, Jülich Supercomputing
                       Centre (JSC), Forschungszentrum
                       Jülich, Jülich (Germany)},
      subtyp        = {Invited},
      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)31},
      url          = {https://juser.fz-juelich.de/record/905211},
}