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@ARTICLE{Dzieciol:890754,
      author       = {Dzieciol, Krzysztof and Iordanishvili, Elene and Abbas,
                      Zaheer and Nahimi, Adjmal and Winterdahl, Michael and Shah,
                      N. J.},
      title        = {{A} robust method for the detection of small changes in
                      relaxation parameters and free water content in the vicinity
                      of the substantia nigra in {P}arkinson’s disease patients},
      journal      = {PLOS ONE},
      volume       = {16},
      number       = {2},
      issn         = {1932-6203},
      address      = {San Francisco, California, US},
      publisher    = {PLOS},
      reportid     = {FZJ-2021-01171},
      pages        = {e0247552 -},
      year         = {2021},
      abstract     = {Alterations in the substantia nigra are strongly associated
                      with Parkinson’s disease. However, due to low contrast and
                      partial volume effects present in typical MRI images, the
                      substantia nigra is not of sufficient size to obtain a
                      reliable segmentation for region-of-interest based analysis.
                      To combat this problem, the approach proposed here offers a
                      method to investigate and reveal changes in quantitative MRI
                      parameters in the vicinity of substantia nigra without any a
                      priori delineation. This approach uses an alternative method
                      of statistical, voxel-based analysis of quantitative maps
                      and was tested on 18 patients and 15 healthy controls using
                      a well-established, quantitative free water mapping
                      protocol. It was possible to reveal the topology and the
                      location of pathological changes in the substantia nigra and
                      its vicinity. Moreover, a decrease in free water content, T1
                      and T2* in the vicinity of substantia nigra was indicated in
                      the Parkinson’s disease patients compared to the healthy
                      controls. These findings reflect a disruption of grey matter
                      and iron accumulation, which is known to lead to
                      neurodegeneration. Consequently, the proposed method
                      demonstrates an increased sensitivity for the detection of
                      pathological changes—even in small regions—and can
                      facilitate disease monitoring via quantitative MR
                      parameters.},
      cin          = {INM-4 / INM-11 / JARA-BRAIN},
      ddc          = {610},
      cid          = {I:(DE-Juel1)INM-4-20090406 / I:(DE-Juel1)INM-11-20170113 /
                      I:(DE-Juel1)VDB1046},
      pnm          = {525 - Decoding Brain Organization and Dysfunction
                      (POF4-525)},
      pid          = {G:(DE-HGF)POF4-525},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {33626092},
      UT           = {WOS:000623658100021},
      doi          = {10.1371/journal.pone.0247552},
      url          = {https://juser.fz-juelich.de/record/890754},
}