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@ARTICLE{Blaschke:901839,
      author       = {Blaschke, Stefan and Hensel, Lukas and Minassian, Anuka and
                      Vlachakis, Susan and Tscherpel, Caroline and Vay, Sabine U.
                      and Rabenstein, Monika and Schroeter, Michael and Fink,
                      Gereon Rudolf and Hoehn, Mathias and Grefkes, Christian and
                      Rueger, Maria A.},
      title        = {{T}ranslating {F}unctional {C}onnectivity {A}fter {S}troke:
                      {F}unctional {M}agnetic {R}esonance {I}maging {D}etects
                      {C}omparable {N}etwork {C}hanges in {M}ice and {H}umans},
      journal      = {Stroke},
      volume       = {52},
      number       = {9},
      issn         = {1524-4628},
      address      = {Philadelphia, Pa.},
      publisher    = {Lippincott Williams $\&$ Wilkins},
      reportid     = {FZJ-2021-03860},
      pages        = {2948 - 2960},
      year         = {2021},
      abstract     = {Background and Purpose:The translational roadblock has long
                      impeded the implementation of experimental therapeutic
                      approaches for stroke into clinical routine. Considerable
                      interspecies differences, for example, in brain anatomy and
                      function, render comparisons between rodents and humans
                      tricky, especially concerning brain reorganization and
                      recovery of function. We tested whether stroke-evoked
                      changes in neural networks follow similar patterns in mice
                      and patients using a systems-level perspective.Methods:We
                      acquired resting-state functional magnetic resonance imaging
                      data during the early poststroke phase in a sample of human
                      patients and compared the observed network changes with data
                      from 2 mouse stroke models, that is, photothrombosis and
                      distal middle cerebral artery occlusion. Importantly, data
                      were subjected to the same processing steps, allowing a
                      direct comparison of global network changes using graph
                      theory.Results:We found that network parameters computed for
                      both mouse models of stroke and humans follow a similar
                      pattern in the postacute stroke phase. Parameters indicating
                      the global communication structure’s facilitation, such as
                      small worldness and characteristic path length, were
                      similarly changed in humans and mice in the first days after
                      stroke. Additionally, small worldness correlated with
                      concurrent motor impairment in humans. Longitudinal
                      observation in the subacute phase revealed a negative
                      correlation between initial small worldness and motor
                      recovery in mice.Conclusions:We show that network measures
                      based on resting-state functional magnetic resonance imaging
                      data after stroke obtained in mice and humans share notable
                      features. The observed network alterations could serve as
                      therapeutic readout parameters for future translational
                      studies in stroke research.},
      cin          = {INM-3},
      ddc          = {610},
      cid          = {I:(DE-Juel1)INM-3-20090406},
      pnm          = {5252 - Brain Dysfunction and Plasticity (POF4-525)},
      pid          = {G:(DE-HGF)POF4-5252},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:34281374},
      UT           = {WOS:000687824000041},
      doi          = {10.1161/STROKEAHA.120.032511},
      url          = {https://juser.fz-juelich.de/record/901839},
}