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@ARTICLE{Maith:888443,
      author       = {Maith, Oliver and Villagrasa Escudero, Francesc and
                      Dinkelbach, Helge Ülo and Baladron, Javier and Horn,
                      Andreas and Irmen, Friederike and Kühn, Andrea A. and
                      Hamker, Fred H.},
      title        = {{A} computational model‐based analysis of basal ganglia
                      pathway changes in {P}arkinson’s disease inferred from
                      resting‐state f{MRI}},
      journal      = {European journal of neuroscience},
      volume       = {53},
      number       = {7},
      issn         = {1460-9568},
      address      = {Oxford [u.a.]},
      publisher    = {Wiley},
      reportid     = {FZJ-2020-04911},
      pages        = {2278-2295},
      year         = {2021},
      abstract     = {Previous computational model-based approaches for
                      understanding the dynamic changes related to Parkinson's
                      disease made particular assumptions about Parkinson's
                      disease-related activity changes or specified
                      dopamine-dependent activation or learning rules. Inspired by
                      recent model-based analysis of resting-state fMRI, we have
                      taken a data-driven approach. We fit the free parameters of
                      a spiking neuro-computational model to match correlations of
                      blood oxygen level-dependent signals between different basal
                      ganglia nuclei and obtain subject-specific
                      neuro-computational models of two subject groups: Parkinson
                      patients and matched controls. When comparing mean firing
                      rates at rest and connectivity strengths between the control
                      and Parkinsonian model groups, several significant
                      differences were found that are consistent with previous
                      experimental observations. We discuss the implications of
                      our approach and compare its results also with the popular
                      “rate model” of the basal ganglia. Our study suggests
                      that a model-based analysis of imaging data from healthy and
                      Parkinsonian subjects is a promising approach for the future
                      to better understand Parkinson-related changes in the basal
                      ganglia and corresponding treatments.},
      cin          = {INM-6 / IAS-6 / INM-10},
      ddc          = {610},
      cid          = {I:(DE-Juel1)INM-6-20090406 / I:(DE-Juel1)IAS-6-20130828 /
                      I:(DE-Juel1)INM-10-20170113},
      pnm          = {574 - Theory, modelling and simulation (POF3-574)},
      pid          = {G:(DE-HGF)POF3-574},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:32558966},
      UT           = {WOS:000545417800001},
      doi          = {10.1111/ejn.14868},
      url          = {https://juser.fz-juelich.de/record/888443},
}