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@INPROCEEDINGS{Reuter:841207,
      author       = {Reuter, Niels and Nagels-Coune, LMJ and Kurban, D. and
                      Benitzer, A. and Gossé, LK. and Riecke, L. and Goebel, R.
                      and Sorger, B.},
      title        = {{YES} {OR} {NO}? – {BINARY} {BRAIN}-{BASED}
                      {COMMUNICATIONUTILIZING} {MOTOR} {IMAGERY} {AND} {FNIRS}},
      reportid     = {FZJ-2017-08300},
      year         = {2017},
      abstract     = {Past research into motor-independentcommunication for the
                      severely disabled has mainlyfocused on developing
                      brain-computer interfaces (BCIs)implementing neuroelectric
                      signals. More recently, alsohemodynamic brain signals have
                      been explored for BCIpurposes. Here, we introduce a novel,
                      straightforward,and easy-to-implement yes/no communication
                      paradigmrelying on mental imagery (mental drawing)
                      andportable functional near-infrared spectroscopy.
                      Tohemodynamically encode answers to binary
                      questions,participants either performed mental drawing
                      (forencoding “yes”) or did not change their mental state
                      (forencoding “no”). Participants’ answers were
                      decodedoffline using univariate and multivariate statistics.
                      Inapproximately half of the participants, accuraciesreached
                      $70\%$ or higher, which is considered a
                      sufficientperformance for binary communication BCIs. As
                      theproposed communication technique requires
                      relativelylittle cognitive capabilities, it might not only
                      serve as auseful communication means but also as a
                      diagnostictool for detecting preserved conscious awareness
                      innon-responsive patients.},
      month         = {Sep},
      date          = {2017-09-18},
      organization  = {7th Graz Brain-Computer Interface
                       Conference, Graz (Austria), 18 Sep 2017
                       - 22 Sep 2017},
      subtyp        = {Plenary/Keynote},
      cin          = {INM-7},
      cid          = {I:(DE-Juel1)INM-7-20090406},
      pnm          = {571 - Connectivity and Activity (POF3-571)},
      pid          = {G:(DE-HGF)POF3-571},
      typ          = {PUB:(DE-HGF)6},
      url          = {https://juser.fz-juelich.de/record/841207},
}