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@INPROCEEDINGS{Eickhoff:1006861,
      author       = {Eickhoff, Simon},
      title        = {{T}echnical, conceptual and practical considerations on
                      neuroimaging-based prediction of cognitive phenotypes},
      reportid     = {FZJ-2023-01903},
      year         = {2023},
      abstract     = {The long predominant paradigm in neuroimaging has been to
                      compare (mean) local volumeor activity between groups, or to
                      correlate these to behavioral phenotypes. Over the
                      lastdecades, the increasing availability of large cohorts
                      and tools for multivariate statisticallearning, allowing the
                      prediction of individual cognitive or clinical phenotypes in
                      newsubjects, started a revolution in imaging neuroscience.
                      While the field has enjoyed a lot ofenthusiasm recently,
                      with medical and non-medical applications on the horizon,
                      the roadtowards translation and re-life applications may be
                      considerably more challenging thanoften acknowledged.
                      Following a short overview on the motivation and
                      perspectives, themajor part of my talk will be focus on
                      several critical yet often underappreciated challengesfor
                      such endeavors. These include on the one hand technical and
                      biological aspects thatmay undermine the validity of
                      prediction results, in particular due to the inherent
                      low-dimensional structure of biological variability. On the
                      other hand, ethical, legal and societalaspects will
                      ultimately will shape practical adaptation but need stronger
                      consideration in thedevelopment of new pipelines if these
                      are to move beyond proof-of-concept work.},
      month         = {Apr},
      date          = {2023-04-17},
      organization  = {Colloquium Max Planck School of
                       Cognition, (online event), 17 Apr 2023
                       - 17 Apr 2023},
      subtyp        = {Invited},
      cin          = {INM-7},
      cid          = {I:(DE-Juel1)INM-7-20090406},
      pnm          = {5253 - Neuroimaging (POF4-525)},
      pid          = {G:(DE-HGF)POF4-5253},
      typ          = {PUB:(DE-HGF)31},
      url          = {https://juser.fz-juelich.de/record/1006861},
}