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@ARTICLE{Forkel:904403,
      author       = {Forkel, Stephanie J. and Friedrich, Patrick and Thiebaut de
                      Schotten, Michel and Howells, Henrietta},
      title        = {{W}hite matter variability, cognition, and disorders: a
                      systematic review},
      journal      = {Brain structure $\&$ function},
      volume       = {227},
      issn         = {0044-2232},
      address      = {Heidelberg},
      publisher    = {Springer},
      reportid     = {FZJ-2021-05973},
      pages        = {529–544},
      year         = {2022},
      abstract     = {Inter-individual differences can inform treatment
                      procedures and—if accounted for—have the potential to
                      significantly improve patient outcomes. However, when
                      studying brain anatomy, these inter-individual variations
                      are commonly unaccounted for, despite reports of differences
                      in gross anatomical features, cross-sectional, and
                      connectional anatomy. Brain connections are essential to
                      facilitate functional organization and, when severed, cause
                      impairments or complete loss of function. Hence, the study
                      of cerebral white matter may be an ideal compromise to
                      capture inter-individual variability in structure and
                      function. We reviewed the wealth of studies that associate
                      cognitive functions and clinical symptoms with individual
                      tracts using diffusion tractography. Our systematic review
                      indicates that tractography has proven to be a sensitive
                      method in neurology, psychiatry, and healthy populations to
                      identify variability and its functional correlates. However,
                      the literature may be biased, as the most commonly studied
                      tracts are not necessarily those with the highest
                      sensitivity to cognitive functions and pathologies.
                      Additionally, the hemisphere of the studied tract is often
                      unreported, thus neglecting functional laterality and
                      asymmetries. Finally, we demonstrate that tracts, as we
                      define them, are not correlated with one, but multiple
                      cognitive domains or pathologies. While our systematic
                      review identified some methodological caveats, it also
                      suggests that tract–function correlations might still be a
                      promising tool in identifying biomarkers for precision
                      medicine. They can characterize variations in brain anatomy,
                      differences in functional organization, and predicts
                      resilience and recovery in patients.},
      cin          = {INM-7},
      ddc          = {610},
      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       = {pmid:34731328},
      UT           = {WOS:000714324700002},
      doi          = {10.1007/s00429-021-02382-w},
      url          = {https://juser.fz-juelich.de/record/904403},
}