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@ARTICLE{Hirjak:125281,
      author       = {D. Hirjak and P. A. Thomann and R. C. Wolf and K. M. Kubera
                      and C. J. Goch$^*$ and J. Hering$^*$ and K. Maier-Hein$^*$},
      title        = {{W}hite matter microstructure variations contribute to
                      neurological soft signs in healthy adults.},
      journal      = {Human brain mapping},
      volume       = {38},
      number       = {7},
      issn         = {1065-9471},
      address      = {New York, NY},
      publisher    = {Wiley-Liss},
      reportid     = {DKFZ-2017-01420},
      pages        = {3552-3565},
      year         = {2017},
      abstract     = {Neurological soft signs (NSS) are core features of
                      psychiatric disorders with significant neurodevelopmental
                      origin. However, it is unclear whether NSS correlates are
                      associated with neuropathological processes underlying the
                      disease or if they are confounded by medication. Given that
                      NSS are also present in healthy persons (HP), investigating
                      HP could reveal NSS correlates, which are not biased by
                      disease-specific processes or drug treatment. Therefore, we
                      used a combination of diffusion MRI analysis tools to
                      provide a framework of specific white matter (WM)
                      microstructure variations underlying NSS in HP.NSS of 59 HP
                      were examined on the Heidelberg Scale and related to
                      diffusion associated metrics. Using tract-based spatial
                      statistics (TBSS), we studied WM variations in fractional
                      anisotropy (FA) as well as radial (RD), axial (AD), and mean
                      diffusivity (MD). Using graph analytics (clustering
                      coefficient-CC, local betweenness centrality -BC), we then
                      explored DTI-derived structural network variations in
                      regions identified by previous MRI studies on NSS.NSS scores
                      were negatively associated with RD, AD and MD in corpus
                      callosum, brainstem and cerebellum (P < 0.05, corr.). NSS
                      scores were negatively associated with CC and BC of the
                      pallidum, the superior parietal gyrus, the precentral
                      sulcus, the insula, and the cingulate gyrus (P < 0.05,
                      uncorr.).The present study supports the notion that WM
                      microstructure variations in subcortical and cortical
                      sensorimotor regions contribute to NSS expression in young
                      HP. Hum Brain Mapp, 2017. © 2017 Wiley Periodicals, Inc.},
      cin          = {E071 / E132},
      ddc          = {610},
      cid          = {I:(DE-He78)E071-20160331 / I:(DE-He78)E132-20160331},
      pnm          = {315 - Imaging and radiooncology (POF3-315)},
      pid          = {G:(DE-HGF)POF3-315},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:28429448},
      doi          = {10.1002/hbm.23609},
      url          = {https://inrepo02.dkfz.de/record/125281},
}