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@ARTICLE{Reid:906378,
      author       = {Reid, Andrew T. and Camilleri, Julia and Hoffstaedter,
                      Felix and Eickhoff, Simon B.},
      title        = {{T}ract-specific statistics based on diffusion-weighted
                      probabilistic tractography},
      journal      = {Communications biology},
      volume       = {5},
      number       = {1},
      issn         = {2399-3642},
      address      = {London},
      publisher    = {Springer Nature},
      reportid     = {FZJ-2022-01407},
      pages        = {138},
      year         = {2022},
      abstract     = {Diffusion-weighted neuroimaging approaches provide rich
                      evidence for estimating the structural integrity of white
                      matter in vivo, but typically do not assess white matter
                      integrity for connections between two specific regions of
                      the brain. Here, we present a method for deriving
                      tract-specific diffusion statistics, based upon predefined
                      regions of interest. Our approach derives a population
                      distribution using probabilistic tractography, based on the
                      Nathan Kline Institute (NKI) Enhanced Rockland sample. We
                      determine the most likely geometry of a path between two
                      regions and express this as a spatial distribution. We then
                      estimate the average orientation of streamlines traversing
                      this path, at discrete distances along its trajectory, and
                      the fraction of diffusion directed along this orientation
                      for each participant. The resulting participant-wise metrics
                      (tract-specific anisotropy; TSA) can then be used for
                      statistical analysis on any comparable population. Based on
                      this method, we report both negative and positive
                      associations between age and TSA for two networks derived
                      from published meta-analytic studies (the "default mode" and
                      "what-where" networks), along with more moderate sex
                      differences and age-by-sex interactions. The proposed method
                      can be applied to any arbitrary set of brain regions, to
                      estimate both the spatial trajectory and DWI-based
                      anisotropy specific to those regions.},
      cin          = {INM-7},
      ddc          = {570},
      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)16},
      pubmed       = {35177755},
      UT           = {WOS:000757506400006},
      doi          = {10.1038/s42003-022-03073-w},
      url          = {https://juser.fz-juelich.de/record/906378},
}