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@INPROCEEDINGS{Weis:911682,
      author       = {Weis, Susanne},
      title        = {{M}ovies in the {M}agnet: {N}aturalistic {V}iewing for
                      phenotype prediction},
      reportid     = {FZJ-2022-04937},
      year         = {2022},
      abstract     = {In recent years, most research on phenotype prediction from
                      functional connectivity (FC) of the brain has been based on
                      resting state (RS) data, where participants lie in the
                      scanner without any particular task or any external
                      stimulation. However, one of the major drawbacks of this
                      approach is that, in the absence of a task, RS FC is
                      influenced by the spontaneous thoughts of the participant
                      and is therefore badly standardized. To address this
                      limitation, naturalistic viewing (NV), during which
                      participants are presented with movie clips while inside the
                      scanner, has been suggested as an emerging tool for the
                      study of individual differences. By closer mimicking
                      conditions under which the brain naturally operates, NV
                      promises to capture more ecologically valid neuronal
                      responses and thereby increase prediction accuracies.
                      Furthermore, by choosing stimuli to match the phenotype of
                      interest, it might be possible to manipulate brain state to
                      further increase predictive power. I will discuss recent
                      results from our group addressing the question whether
                      phenotype prediction based on NV is indeed superior to RS
                      based predictions. },
      month         = {Jun},
      date          = {2022-06-14},
      organization  = {20th Brain Connectivity Workshop
                       - „20 years of Brain Connectivity
                       Research: Breakthroughs in
                       understanding mechanisms and predicting
                       function“, Düsseldorf (online
                       event), 14 Jun 2022 - 14 Jun 2022},
      subtyp        = {Other},
      cin          = {INM-7},
      cid          = {I:(DE-Juel1)INM-7-20090406},
      pnm          = {5252 - Brain Dysfunction and Plasticity (POF4-525)},
      pid          = {G:(DE-HGF)POF4-5252},
      typ          = {PUB:(DE-HGF)6},
      url          = {https://juser.fz-juelich.de/record/911682},
}