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@INPROCEEDINGS{GENON:911677,
      author       = {GENON, Sarah},
      title        = {{G}eneralizability of connectome-based predictive models},
      reportid     = {FZJ-2022-04932},
      year         = {2022},
      abstract     = {The development of connectome-based predictive models of
                      behavioral phenotype has more recently opened new
                      perspectives for understanding brain-behavior relationships
                      in basic neuroscience, but also for precision medicine.
                      However, the insight provided by the machine learning models
                      and the further deployment of these approaches are
                      conditioned by their generalizability. In our recent work,
                      we tackled this crucial question across several popular
                      datasets in the field.},
      month         = {Jun},
      date          = {2022-06-14},
      organization  = {20th Brain Connectivity Workshop,
                       Düsseldorf (online event), 14 Jun 2022
                       - 14 Jun 2022},
      subtyp        = {Other},
      cin          = {INM-7},
      cid          = {I:(DE-Juel1)INM-7-20090406},
      pnm          = {5251 - Multilevel Brain Organization and Variability
                      (POF4-525)},
      pid          = {G:(DE-HGF)POF4-5251},
      typ          = {PUB:(DE-HGF)6},
      url          = {https://juser.fz-juelich.de/record/911677},
}