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@ARTICLE{Gembris:810622,
      author       = {Gembris, Daniel and Taylor, John G. and Schor, Stefan and
                      Frings, Wolfgang and Suter, Dieter and Posse, Stefan},
      title        = {{F}unctional magnetic resonance imaging in real time
                      ({FIRE}): {S}liding-window correlation analysis and
                      reference-vector optimization},
      journal      = {Magnetic resonance in medicine},
      volume       = {43},
      number       = {2},
      issn         = {0740-3194},
      address      = {New York, NY [u.a.]},
      publisher    = {Wiley-Liss},
      reportid     = {FZJ-2016-03282},
      pages        = {259-268},
      year         = {2000},
      abstract     = {New algorithms for correlation analysis are presented that
                      allow the mapping of brain activity from functional MRI
                      (fMRI) data in real time during the ongoing scan. They
                      combine the computation of the correlation coefficients
                      between measured fMRI time-series data and a reference
                      vector with “detrending,” a technique for the
                      suppression of non-stimulus-related signal components, and
                      the “sliding-window technique.” Using this technique,
                      which limits the correlation computation to the last N
                      measurement time points, the sensitivity to changes in brain
                      activity is maintained throughout the whole experiment. For
                      increased sensitivity in activation detection a fast and
                      robust optimization of the reference vector is proposed,
                      which takes into account a realistic model of the
                      hemodynamic response function to adapt the parameterized
                      reference vector to the measured data. Based on the
                      described correlation method, real-time fMRI experiments
                      using visual stimulation paradigms have been performed
                      successfully on a clinical MR scanner, which was linked to
                      an external workstation for image analysis.},
      cin          = {JSC / IME / ZAM},
      ddc          = {610},
      cid          = {I:(DE-Juel1)JSC-20090406 / I:(DE-Juel1)VDB54 /
                      I:(DE-Juel1)VDB62},
      pnm          = {899 - ohne Topic (POF3-899)},
      pid          = {G:(DE-HGF)POF3-899},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000084993500013},
      doi          = {10.1002/(SICI)1522-2594(200002)43:2<259::AID-MRM13>3.0.CO;2-P},
      url          = {https://juser.fz-juelich.de/record/810622},
}