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@ARTICLE{Genon:834145,
      author       = {Genon, Sarah and Wensing, Tobias and Reid, Andrew and
                      Hoffstaedter, Felix and Caspers, Svenja and Grefkes,
                      Christian and Nickl-Jockschat, Thomas and Eickhoff, Simon},
      title        = {{S}earching for behavior relating to grey matter volume in
                      a-priori defined right dorsal premotor regions: {L}essons
                      learned},
      journal      = {NeuroImage},
      volume       = {157},
      issn         = {1053-8119},
      address      = {Orlando, Fla.},
      publisher    = {Academic Press},
      reportid     = {FZJ-2017-04143},
      pages        = {144 - 156},
      year         = {2017},
      abstract     = {Recently, we showed that the functional heterogeneity of
                      the right dorsal premotor (PMd) cortex could be better
                      understood by dividing it into five subregions that showed
                      different behavioral associations according to task-based
                      activations studies. The present study investigated whether
                      the revealed behavioral profile could be corroborated and
                      complemented by a structural brain behavior correlation
                      approach in two healthy adults cohorts.Grey matter volume
                      within the five volumes of interest (VOI-GM) was computed
                      using voxel-based morphometry. Associations between the
                      inter-individual differences in VOI-GM and performance
                      across a range of neuropsychological tests were assessed in
                      the two cohorts with and without correction for
                      demographical variables. Additional analyses were performed
                      in random smaller subsamples drawn from each of the two
                      cohorts.In both cohorts, correlation coefficients were low;
                      only few were significant and a considerable number of
                      correlations were counterintuitive in their directions
                      (i.e., higher performance related to lower grey matter
                      volume). Furthermore, correlation patterns were inconsistent
                      between the two cohorts. Subsampling revealed that
                      correlation patterns could vary widely across small samples
                      and that negative correlations were as likely as positive
                      correlations.Thus, the structural brain-behavior approach
                      did not corroborate the functional profiles of the PMd
                      subregions inferred from activation studies, suggesting that
                      local recruitment by fMRI studies does not necessarily imply
                      covariance of local structure with behavioral performance in
                      healthy adults. We discuss the limitations of such studies
                      and related recommendations for future studies.},
      cin          = {INM-3 / INM-7 / INM-1},
      ddc          = {610},
      cid          = {I:(DE-Juel1)INM-3-20090406 / I:(DE-Juel1)INM-7-20090406 /
                      I:(DE-Juel1)INM-1-20090406},
      pnm          = {572 - (Dys-)function and Plasticity (POF3-572)},
      pid          = {G:(DE-HGF)POF3-572},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000410539800013},
      pubmed       = {pmid:28552730},
      doi          = {10.1016/j.neuroimage.2017.05.053},
      url          = {https://juser.fz-juelich.de/record/834145},
}