% IMPORTANT: The following is UTF-8 encoded.  This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.

@ARTICLE{Bonkhoff:901836,
      author       = {Bonkhoff, Anna Katharina and Schirmer, Markus D. and
                      Bretzner, Martin and Etherton, Mark and Donahue, Kathleen
                      and Tuozzo, Carissa and Nardin, Marco and Giese, Anne-Katrin
                      and Wu, Ona and D. Calhoun, Vince and Grefkes, Christian and
                      Rost, Natalia S.},
      title        = {{A}bnormal dynamic functional connectivity is linked to
                      recovery after acute ischemic stroke},
      journal      = {Human brain mapping},
      volume       = {42},
      number       = {7},
      issn         = {1097-0193},
      address      = {New York, NY},
      publisher    = {Wiley-Liss},
      reportid     = {FZJ-2021-03857},
      pages        = {2278 - 2291},
      year         = {2021},
      abstract     = {The aim of the current study was to explore the whole-brain
                      dynamic functional connectivity patterns in acute ischemic
                      stroke (AIS) patients and their relation to short and
                      long-term stroke severity. We investigated resting-state
                      functional MRI-based dynamic functional connectivity of 41
                      AIS patients two to five days after symptom onset.
                      Re-occurring dynamic connectivity configurations were
                      obtained using a sliding window approach and k-means
                      clustering. We evaluated differences in dynamic patterns
                      between three NIHSS-stroke severity defined groups (mildly,
                      moderately, and severely affected patients). Furthermore, we
                      built Bayesian hierarchical models to evaluate the
                      predictive capacity of dynamic connectivity and examine the
                      interrelation with clinical measures, such as white matter
                      hyperintensity lesions. Finally, we established correlation
                      analyses between dynamic connectivity and AIS severity as
                      well as 90-day neurological recovery (ΔNIHSS). We
                      identified three distinct dynamic connectivity
                      configurations acutely post-stroke. More severely affected
                      patients spent significantly more time in a configuration
                      that was characterized by particularly strong connectivity
                      and isolated processing of functional brain domains
                      (three-level ANOVA: p < .05, post hoc t tests:
                      p < .05, FDR-corrected). Configuration-specific time
                      estimates possessed predictive capacity of stroke severity
                      in addition to the one of clinical measures. Recovery, as
                      indexed by the realized change of the NIHSS over time, was
                      significantly linked to the dynamic connectivity between
                      bilateral intraparietal lobule and left angular gyrus
                      (Pearson's r = −.68, p = .003, FDR-corrected). Our
                      findings demonstrate transiently increased isolated
                      information processing in multiple functional domains in
                      case of severe AIS. Dynamic connectivity involving default
                      mode network components significantly correlated with
                      recovery in the first 3 months poststroke.},
      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:33650754},
      UT           = {WOS:000624019900001},
      doi          = {10.1002/hbm.25366},
      url          = {https://juser.fz-juelich.de/record/901836},
}