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@ARTICLE{Camilleri:255990,
      author       = {Camilleri, Julia and Reid, Andrew and Müller, Veronika and
                      Grefkes, Christian and Amunts, Katrin and Eickhoff, Simon},
      title        = {{M}ulti-modal imaging of neural correlates of motor speed
                      performance in the {T}rail {M}aking {T}est},
      journal      = {Frontiers in neurology},
      volume       = {6},
      issn         = {1664-2295},
      address      = {Lausanne},
      publisher    = {Frontiers Research Foundation},
      reportid     = {FZJ-2015-06046},
      pages        = {219},
      year         = {2015},
      abstract     = {The assessment of motor and executive functions following
                      stroke or traumatic brain injury is a key aspect of
                      impairment evaluation and used to guide further therapy. In
                      clinical routine such assessments are largely dominated by
                      pen-and-paper tests. While these provide standardized,
                      reliable and ecologically valid measures of the individual
                      level of functioning, rather little is yet known about their
                      neurobiological underpinnings. Therefore, the aim of this
                      study was to investigate brain regions and their associated
                      networks that are related to upper extremity motor function,
                      as quantified by the Motor Speed subtest of the Trail Making
                      Test (TMT-MS). Whole brain voxel-based morphometry and whole
                      brain tract-based spatial statistics were used to
                      investigate the association between TMT-MS performance with
                      gray matter volume (GMV) and white matter integrity
                      respectively. While results demonstrated no relationship to
                      local white-matter properties, we found a significant
                      correlation between TMT-MS performance and GMV of the lower
                      bank of the inferior frontal sulcus, a region associated
                      with cognitive processing, as indicated by assessing its
                      functional profile by the BrainMap database. Using this
                      finding as a seed region, we further examined and compared
                      networks as reflected by resting state connectivity,
                      meta-analytic-connectivity modeling, structural covariance
                      and probabilistic tractography. While differences between
                      the different approaches were observed, all approaches
                      converged on a network comprising regions that overlap with
                      the multiple-demand network. Our data therefore indicates
                      that performance may primarily depend on executive function,
                      thus suggesting that motor speed in a more naturalistic
                      setting should be more associated with executive rather than
                      primary motor function. Moreover, results showed that while
                      there were differences between the approaches, a convergence
                      indicated that common networks can be revealed across highly
                      divergent methods.},
      cin          = {INM-1 / INM-3},
      ddc          = {610},
      cid          = {I:(DE-Juel1)INM-1-20090406 / I:(DE-Juel1)INM-3-20090406},
      pnm          = {571 - Connectivity and Activity (POF3-571) / HBP - Human
                      Brain Project (284941)},
      pid          = {G:(DE-HGF)POF3-571 / G:(EU-Grant)284941},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000363938800001},
      pubmed       = {pmid:26579066},
      doi          = {10.3389/fneur.2015.00219},
      url          = {https://juser.fz-juelich.de/record/255990},
}