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@ARTICLE{Bonkhoff:874479,
      author       = {Bonkhoff, Anna K and Espinoza, Flor A and Gazula, Harsh and
                      Vergara, Victor M and Hensel, Lukas and Michely, Jochen and
                      Paul, Theresa and Rehme, Anne K and Volz, Lukas J and Fink,
                      Gereon R and Calhoun, Vince D and Grefkes, Christian},
      title        = {{A}cute ischemic stroke alters the brain's preference for
                      distinct dynamic connectivity states},
      journal      = {Brain},
      volume       = {143},
      number       = {5},
      issn         = {0006-8950},
      address      = {Oxford},
      publisher    = {Oxford Univ. Press},
      reportid     = {FZJ-2020-01458},
      pages        = {1525–1540},
      year         = {2020},
      abstract     = {Acute ischemic stroke disturbs healthy brain organization,
                      prompting subsequent plasticity and reorganization to
                      compensate for loss of specialized neural tissue and
                      function. Static resting-state functional magnetic resonance
                      imaging (fMRI) studies have already furthered our
                      understanding of cerebral reorganization by estimating
                      stroke-induced changes in network connectivity aggregated
                      over the duration of several minutes. In this study, we
                      utilized dynamic resting-state fMRI analyses to increase
                      temporal resolution to seconds and explore transient
                      configurations of motor network connectivity in acute
                      stroke. To this end, we collected resting-state fMRI data of
                      31 acute ischemic stroke patients and 17 age-matched healthy
                      controls. Stroke patients presented with moderate to severe
                      hand motor deficits. By estimating dynamic connectivity
                      within a sliding window framework, we identified three
                      distinct connectivity configurations of motor-related
                      networks. Motor networks were organized into three regional
                      domains, i.e. a cortical, subcortical and cerebellar domain.
                      Temporal connectivity patterns of stroke patients markedly
                      diverged from those of healthy controls depending on the
                      severity of the initial motor impairment. Moderately
                      affected patients (n=18) spent significantly more time in a
                      weakly connected configuration that was characterized by low
                      levels of connectivity, both locally as well as between
                      distant regions. In contrast, severely affected patients
                      (n=13) showed a significant preference for transitions into
                      a spatially segregated connectivity configuration. This
                      configuration featured particularly high levels of local
                      connectivity within the three regional domains as well as
                      anti-correlated connectivity between distant networks across
                      domains. A third connectivity configuration represented an
                      intermediate connectivity pattern compared to the preceding
                      two, and predominantly encompassed decreased
                      inter-hemispheric connectivity between cortical motor
                      networks independent of individual deficit severity.
                      Alterations within this third configuration thus closely
                      resembled previously reported ones originating from static
                      resting-state fMRI studies post-stroke. In summary, acute
                      ischemic stroke not only prompted changes in connectivity
                      between distinct functional networks, yet also caused severe
                      aberrations in temporal properties of large-scale network
                      interactions depending on the individual deficit severity.
                      These findings offer new vistas on the dynamic neural
                      mechanisms underlying acute neurological symptoms, cortical
                      reorganization and treatment effects in stroke patients.},
      cin          = {INM-3},
      ddc          = {610},
      cid          = {I:(DE-Juel1)INM-3-20090406},
      pnm          = {572 - (Dys-)function and Plasticity (POF3-572)},
      pid          = {G:(DE-HGF)POF3-572},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:32357220},
      UT           = {WOS:000541777000031},
      doi          = {10.1093/brain/awaa101},
      url          = {https://juser.fz-juelich.de/record/874479},
}