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@ARTICLE{Yun:907294,
      author       = {Yun, Seong Dae and Pais-Roldán, Patricia and
                      Palomero-Gallagher, Nicola and Shah, N. J.},
      title        = {{M}apping of whole‐cerebrum resting‐state networks
                      using ultra‐high resolution acquisition protocols},
      journal      = {Human brain mapping},
      volume       = {43},
      number       = {11},
      issn         = {1065-9471},
      address      = {New York, NY},
      publisher    = {Wiley-Liss},
      reportid     = {FZJ-2022-01945},
      pages        = {3386-3403},
      year         = {2022},
      abstract     = {Resting-state functional magnetic resonance imaging (fMRI)
                      has been used in numerous studies to map networks in the
                      brain that employ spatially disparate regions. However,
                      attempts to map networks with high spatial resolution have
                      been hampered by conflicting technical demands and
                      associated problems. Results from recent fMRI studies have
                      shown that spatial resolution remains around
                      0.7 × 0.7 × 0.7 mm3, with only partial brain
                      coverage. Therefore, this work aims to present a novel fMRI
                      technique that was developed based on echo-planar-imaging
                      with keyhole (EPIK) combined with repetition-time-external
                      (TR-external) EPI phase correction. Each technique has been
                      previously shown to be effective in enhancing the spatial
                      resolution of fMRI, and in this work, the combination of the
                      two techniques into TR-external EPIK provided a nominal
                      spatial resolution of 0.51 × 0.51 × 1.00 mm3
                      (0.26 mm3 voxel) with whole-cerebrum coverage. Here, the
                      feasibility of using half-millimetre in-plane TR-external
                      EPIK for resting-state fMRI was validated using 13 healthy
                      subjects and the corresponding reproducible mapping of
                      resting-state networks was demonstrated. Furthermore,
                      TR-external EPIK enabled the identification of various
                      resting-state networks distributed throughout the brain from
                      a single fMRI session, with mapping fidelity onto the grey
                      matter at 7T. The high-resolution functional image further
                      revealed mesoscale anatomical structures, such as small
                      cerebral vessels and the internal granular layer of the
                      cortex within the postcentral gyrus.},
      cin          = {INM-1 / INM-4},
      ddc          = {610},
      cid          = {I:(DE-Juel1)INM-1-20090406 / I:(DE-Juel1)INM-4-20090406},
      pnm          = {5251 - Multilevel Brain Organization and Variability
                      (POF4-525) / Open-Access-Publikationskosten
                      Forschungszentrum Jülich (OAPKFZJ) (491111487)},
      pid          = {G:(DE-HGF)POF4-5251 / G:(GEPRIS)491111487},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:35384130},
      UT           = {WOS:000778741600001},
      doi          = {10.1002/hbm.25855},
      url          = {https://juser.fz-juelich.de/record/907294},
}