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@ARTICLE{Pais:907552,
      author       = {Pais, Patricia and Yun, Seong Dae and Shah, N. Jon},
      title        = {{P}re-processing of {S}ub-millimeter {GE}-{BOLD} f{MRI}
                      {D}ata for {L}aminar {A}pplications},
      journal      = {Frontiers in neuroimaging},
      volume       = {1},
      issn         = {2813-1193},
      address      = {Lausanne},
      publisher    = {Frontiers Media SA},
      reportid     = {FZJ-2022-02079},
      pages        = {869454},
      year         = {2022},
      abstract     = {Over the past 30 years, brain function has primarily been
                      evaluated non-invasively using functional magnetic resonance
                      imaging (fMRI) with gradient-echo (GE) sequences to measure
                      blood-oxygen-level-dependent (BOLD) signals. Despite the
                      multiple advantages of GE sequences, e.g., higher
                      signal-to-noise ratio, faster acquisitions, etc., their
                      relatively inferior spatial localization compromises the
                      routine use of GE-BOLD in laminar applications. Here, in an
                      attempt to rescue the benefits of GE sequences, we evaluated
                      the effect of existing pre-processing methods on the spatial
                      localization of signals obtained with EPIK, a GE sequence
                      that affords voxel volumes of 0.25 mm3 with near whole-brain
                      coverage. The methods assessed here apply to both task and
                      resting-state fMRI data assuming the availability of
                      reconstructed magnitude and phase images.},
      cin          = {INM-4 / INM-11 / JARA-BRAIN},
      ddc          = {610},
      cid          = {I:(DE-Juel1)INM-4-20090406 / I:(DE-Juel1)INM-11-20170113 /
                      I:(DE-Juel1)VDB1046},
      pnm          = {5253 - Neuroimaging (POF4-525)},
      pid          = {G:(DE-HGF)POF4-5253},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {37555171},
      UT           = {WOS:001537169300001},
      doi          = {10.3389/fnimg.2022.869454},
      url          = {https://juser.fz-juelich.de/record/907552},
}