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@ARTICLE{Li:1040294,
      author       = {Li, Xuan and Eickhoff, Simon B. and Weis, Susanne},
      title        = {{S}timulus {S}election {I}nfluences {P}rediction of
                      {I}ndividual {P}henotypes in {N}aturalistic {C}onditions},
      journal      = {Human brain mapping},
      volume       = {46},
      number       = {3},
      issn         = {1065-9471},
      address      = {New York, NY},
      publisher    = {Wiley-Liss},
      reportid     = {FZJ-2025-01826},
      pages        = {e70164},
      year         = {2025},
      note         = {Funding: This work was supported by European Union's
                      Horizon 2020 Research and Innovation Programme (945539; HBP
                      SGA3) and Deutsche Forschungsgemeinschaft (491111487).},
      abstract     = {While the use of naturalistic stimuli such as movie clips
                      for understanding individual differences and
                      brain–behaviour relationships attracts increasing
                      interest, the influence of stimulus selection remains
                      largely unclear. By using machine learning to predict
                      individual traits (phenotypes) from brain activity evoked
                      during various movie clips, we show that different movie
                      stimuli can result in distinct prediction performances. In
                      brain regions related to lower-level processing of the
                      stimulus, prediction to a certain degree benefits from
                      stronger synchronisation of brain activity across subjects.
                      By contrast, better predictions in frontoparietal brain
                      regions are mainly associated with larger inter-subject
                      variability. Furthermore, we demonstrate that while movie
                      clips with rich social content in general achieve better
                      predictions, the importance of specific movie features for
                      prediction highly depends on the phenotype under
                      investigation. Overall, our findings underscore the
                      importance of careful stimulus selection and provide novel
                      insights into stimulus selection for phenotype prediction in
                      naturalistic conditions, opening new avenues for future
                      research.},
      cin          = {INM-7},
      ddc          = {610},
      cid          = {I:(DE-Juel1)INM-7-20090406},
      pnm          = {5251 - Multilevel Brain Organization and Variability
                      (POF4-525) / 5252 - Brain Dysfunction and Plasticity
                      (POF4-525)},
      pid          = {G:(DE-HGF)POF4-5251 / G:(DE-HGF)POF4-5252},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {39960115},
      UT           = {WOS:001422492000001},
      doi          = {10.1002/hbm.70164},
      url          = {https://juser.fz-juelich.de/record/1040294},
}