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@ARTICLE{Yun:864152,
      author       = {Yun, Seong Dae and Weidner, Ralph and Weiss, Peter H. and
                      Shah, N. Jon},
      title        = {{E}valuating the {U}tility of {EPIK} in a {F}inger
                      {T}apping f{MRI} {E}xperiment using {BOLD} detection and
                      {E}ffective {C}onnectivity},
      journal      = {Scientific reports},
      volume       = {9},
      number       = {1},
      issn         = {2045-2322},
      address      = {[London]},
      publisher    = {Macmillan Publishers Limited, part of Springer Nature},
      reportid     = {FZJ-2019-04022},
      pages        = {10978},
      year         = {2019},
      abstract     = {EPI with Keyhole (EPIK) is a hybrid imaging technique that
                      overcomes many of the performance disadvantages associated
                      with EPI. Previously, EPIK was shown to provide a higher
                      temporal resolution and fewer image distortions than EPI
                      whilst maintaining comparable performance for the detection
                      of BOLD-based signals. This work carefully examines the
                      putative enhanced sensitivity of EPIK in a typical fMRI
                      setting by using a robust fMRI paradigm – visually guided
                      finger tapping – to demonstrate the advantages of EPIK for
                      fMRI at 3 T. The data acquired were directly compared to
                      the community standard fMRI protocol using single-shot EPI
                      to ascertain a clear comparison. Each sequence was optimised
                      to offer its highest possible spatial resolution for a given
                      set of imaging conditions, i.e., EPIK and EPI achieved an
                      in-planar resolution of 2.08 × 2.08 mm2 with 32 slices
                      and 3.13 × 3.13 mm2 with 36 slices, respectively. EPIK
                      demonstrated a number of clear improvements, such as
                      superior spatial resolution with favourable robustness
                      against susceptibility artefacts. Both imaging sequences
                      revealed robust activation within primary motor, premotor
                      and visual regions, although significantly higher BOLD
                      amplitudes were detected using EPIK within the primary and
                      supplementary motor areas. Dynamic causal modelling, in
                      combination with Bayesian model selection, identified
                      identical winning models for EPIK and EPI data. Coupling
                      parameters reflecting task-related modulations and the
                      connectivity of fixed connections were comparably robust for
                      both sequences. However, fixed connections from the left
                      motor cortex to the right visual cortex were estimated as
                      being significantly more robust for EPIK data.},
      cin          = {INM-3 / INM-4 / INM-11 / JARA-BRAIN},
      ddc          = {600},
      cid          = {I:(DE-Juel1)INM-3-20090406 / I:(DE-Juel1)INM-4-20090406 /
                      I:(DE-Juel1)INM-11-20170113 / $I:(DE-82)080010_20140620$},
      pnm          = {572 - (Dys-)function and Plasticity (POF3-572)},
      pid          = {G:(DE-HGF)POF3-572},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:31358817},
      UT           = {WOS:000477701800081},
      doi          = {10.1038/s41598-019-47341-y},
      url          = {https://juser.fz-juelich.de/record/864152},
}