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@ARTICLE{Hensel:1043473,
      author       = {Hensel, Lukas and Bonkhoff, Anna K. and Paul, Theresa and
                      Tscherpel, Caroline and Lange, Fabian and Viswanathan,
                      Shivakumar and Volz, Lukas J. and Eickhoff, Simon B. and
                      Fink, Gereon R. and Grefkes, Christian},
      title        = {{T}he role of contralesional regions for post-stroke
                      movements revealed by dynamic connectivity and {TMS}
                      interference},
      journal      = {NeuroImage: Clinical},
      volume       = {47},
      issn         = {2213-1582},
      address      = {[Amsterdam u.a.]},
      publisher    = {Elsevier},
      reportid     = {FZJ-2025-02876},
      pages        = {103825 -},
      year         = {2025},
      note         = {FundingCG, CT, LJV, SBE and GRF are funded by the Deutsche
                      Forschungsgemeinschaft (DFG, German Research Foundation) –
                      Project-ID 431,549,029 – SFB 1451 (projects B05, B06, C05
                      and Z03).},
      abstract     = {Connectivity changes after brain lesions due to stroke are
                      tightly linked to functional outcome. Recent analyses of
                      fMRI time series indicate that dynamic functional network
                      connectivity (dFNC), reflecting transient states of
                      connectivity may capture network-level disruptions distant
                      to the lesion site. Yet, the relevance of such dynamic
                      connectivity patterns for motor recovery remains unclear.
                      We, therefore, combined the analysis of static and dFNC and
                      a repetitive transcranial magnetic stimulation (rTMS) lesion
                      approach, to test whether dFNC provides region-specific
                      insight into motor system reorganization after stroke. We
                      focused on the contralesional primary motor cortex (M1) and
                      anterior intraparietal sulcus (aIPS), two regions previously
                      shown to modulate motor performance post-stroke in a time
                      dependent manner. In 18 individuals in the chronic phase
                      after stroke (with either persistent or recovered deficits)
                      and 18 healthy participants, we analyzed static and dynamic
                      resting-state connectivity. We then applied online rTMS
                      intereference over contralesional aIPS and M1 during hand
                      movement tasks to assess region-specific contributions to
                      motor behavior. Consistent with previous studies, dFNC
                      states were associated with persisting motor deficits,
                      whereas static connectivity was not associated with motor
                      outcome. dFNC but not static connectivity was associated
                      with residual motor deficits and explained TMS-induced
                      behavioral changes, when applying rTMS over contralesional
                      M1. For contralesional aIPS, both static and dynamic
                      connectivity were linked to TMS effects. This indicates that
                      dFNC - more than static connectivity - contains information
                      on the functional relevance of brain regions for motor
                      outcome, specifically contralesional M1. Our results
                      highlight the added value of temporal network analysis in
                      understanding mechanisms of stroke recovery mechanisms.},
      cin          = {INM-7 / INM-3},
      ddc          = {610},
      cid          = {I:(DE-Juel1)INM-7-20090406 / I:(DE-Juel1)INM-3-20090406},
      pnm          = {5251 - Multilevel Brain Organization and Variability
                      (POF4-525) / SFB 1451 B06 - Netzwerkmechanismen der
                      Adaptation motorischer Kontrolle (B06*) (552122525) / SFB
                      1451 Z03 - Humanes Motor-Assesment Center (Z03) (458705014)
                      / SFB 1451 C05 - Die Rolle der sensomotorischen Integration
                      für motorische Kontrolle im geschädigten Gehirn (C05)
                      (458684554) / SFB 1451 B05 - Identifizierung übergreifender
                      Komponenten motorisch-kognitiv-demographischer Phänotypen
                      (B05) (458640473)},
      pid          = {G:(DE-HGF)POF4-5251 / G:(GEPRIS)552122525 /
                      G:(GEPRIS)458705014 / G:(GEPRIS)458684554 /
                      G:(GEPRIS)458640473},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {40543322},
      UT           = {WOS:001517848400001},
      doi          = {10.1016/j.nicl.2025.103825},
      url          = {https://juser.fz-juelich.de/record/1043473},
}