% 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{DiekhoffKrebs:834404,
      author       = {Diekhoff-Krebs, Svenja and Pool, Eva-Maria and Sarfeld,
                      Anna-Sophia and Rehme, Anne K. and Eickhoff, Simon and Fink,
                      Gereon R. and Grefkes, Christian},
      title        = {{I}nterindividual differences in motor network connectivity
                      and behavioral response to i{TBS} in stroke patients},
      journal      = {NeuroImage: Clinical},
      volume       = {15},
      issn         = {2213-1582},
      address      = {[Amsterdam u.a.]},
      publisher    = {Elsevier},
      reportid     = {FZJ-2017-04362},
      pages        = {559 - 571},
      year         = {2017},
      abstract     = {Cerebral plasticity-inducing approaches like repetitive
                      transcranial magnetic stimulation (rTMS) are of high
                      interest in situations where reorganization of neural
                      networks can be observed, e.g., after stroke. However, an
                      increasing number of studies suggest that improvements in
                      motor performance of the stroke-affected hand following
                      modulation of primary motor cortex (M1) excitability by rTMS
                      shows a high interindividual variability. We here tested the
                      hypothesis that in stroke patients the interindividual
                      variability of behavioral response to excitatory rTMS is
                      related to interindividual differences in network
                      connectivity of the stimulated region. Chronic stroke
                      patients (n = 14) and healthy controls (n = 12) were scanned
                      with functional magnetic resonance imaging (fMRI) while
                      performing a simple hand motor task. Dynamic causal modeling
                      (DCM) was used to investigate effective connectivity of key
                      motor regions. On two different days after the fMRI
                      experiment, patients received either intermittent
                      theta-burst stimulation (iTBS) over ipsilesional M1 or
                      control stimulation over the parieto-occipital cortex. Motor
                      performance and TMS parameters of cortical excitability were
                      measured before and after iTBS. Our results revealed that
                      patients with better motor performance of the affected hand
                      showed stronger endogenous coupling between supplemental
                      motor area (SMA) and M1 before starting the iTBS
                      intervention. Applying iTBS to ipsilesional M1 significantly
                      increased ipsilesional M1 excitability and decreased
                      contralesional M1 excitability as compared to control
                      stimulation. Individual behavioral improvements following
                      iTBS specifically correlated with neural coupling strengths
                      in the stimulated hemisphere prior to stimulation,
                      especially for connections targeting the stimulated M1.
                      Combining endogenous connectivity and behavioral parameters
                      explained $82\%$ of the variance in hand motor performance
                      observed after iTBS. In conclusion, the data suggest that
                      the individual susceptibility to iTBS after stroke is
                      influenced by interindividual differences in motor network
                      connectivity of the lesioned hemisphere},
      cin          = {INM-3 / INM-7},
      ddc          = {610},
      cid          = {I:(DE-Juel1)INM-3-20090406 / I:(DE-Juel1)INM-7-20090406},
      pnm          = {572 - (Dys-)function and Plasticity (POF3-572) / SMHB -
                      Supercomputing and Modelling for the Human Brain
                      (HGF-SMHB-2013-2017) / HBP - Human Brain Project (284941)},
      pid          = {G:(DE-HGF)POF3-572 / G:(DE-Juel1)HGF-SMHB-2013-2017 /
                      G:(EU-Grant)284941},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000410067200058},
      pubmed       = {28652969},
      doi          = {10.1016/j.nicl.2017.06.006},
      url          = {https://juser.fz-juelich.de/record/834404},
}