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@ARTICLE{Amunts:875201,
      author       = {Amunts, Julia and Camilleri, Julia and Eickhoff, Simon B.
                      and Heim, Stefan and Weis, Susanne},
      title        = {{E}xecutive functions predict verbal fluency scores in
                      healthy participants},
      journal      = {Scientific reports},
      volume       = {10},
      number       = {1},
      issn         = {2045-2322},
      address      = {[London]},
      publisher    = {Macmillan Publishers Limited, part of Springer Nature},
      reportid     = {FZJ-2020-01869},
      pages        = {11141},
      year         = {2020},
      abstract     = {While there is a clear link between impairments of
                      executive functions (EFs), i.e. cognitive control mechanisms
                      that facilitate goal-directed behavior, and speech problems,
                      it is so far unclear exactly which of the complex subdomains
                      of EFs most strongly contribute to speech performance, as
                      measured by verbal fluency (VF) tasks. Furthermore, the
                      impact of intra-individual variability is largely unknown.
                      This study on healthy participants (n = 235) shows that
                      the use of a relevance vector machine approach allows for
                      the prediction of VF performance from EF scores. Based on a
                      comprehensive set of EF scores, results identified cognitive
                      flexibility and inhibition as well as processing speed as
                      strongest predictors for VF performance, but also
                      highlighted a modulatory influence of fluctuating hormone
                      levels. These findings demonstrate that speech production
                      performance is strongly linked to specific EF subdomains,
                      but they also suggest that inter-individual differences
                      should be taken into account.},
      cin          = {INM-7 / INM-1},
      ddc          = {600},
      cid          = {I:(DE-Juel1)INM-7-20090406 / I:(DE-Juel1)INM-1-20090406},
      pnm          = {571 - Connectivity and Activity (POF3-571) / HBP SGA1 -
                      Human Brain Project Specific Grant Agreement 1 (720270) /
                      HBP SGA2 - Human Brain Project Specific Grant Agreement 2
                      (785907) / SMHB - Supercomputing and Modelling for the Human
                      Brain (HGF-SMHB-2013-2017)},
      pid          = {G:(DE-HGF)POF3-571 / G:(EU-Grant)720270 /
                      G:(EU-Grant)785907 / G:(DE-Juel1)HGF-SMHB-2013-2017},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:32636406},
      UT           = {WOS:000562324300014},
      doi          = {10.1038/s41598-020-65525-9},
      url          = {https://juser.fz-juelich.de/record/875201},
}