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@ARTICLE{Grinberg:842504,
      author       = {Grinberg, Farida and Farrher, Ezequiel and Gao, Xiang and
                      Konrad, Kerstin and Neuner, Irene and Shah, N. J.},
      title        = {{N}ovel {D}iffusion-{K}urtosis-{I}nformed {T}emplate
                      {R}educes {D}istortions due to {P}artial {V}olume {E}ffects
                      and {I}mproves {S}tatistical between-{G}roup {C}omparisons},
      journal      = {Journal of Alzheimers Disease $\&$ Parkinsonism},
      volume       = {07},
      number       = {06},
      issn         = {2161-0460},
      address      = {Sunnyvale, Calif.},
      publisher    = {OMICS Publ. Group},
      reportid     = {FZJ-2018-00729},
      pages        = {393},
      year         = {2017},
      abstract     = {Objective: Quantitative diffusion magnetic resonance
                      imaging measures carry information about microstructural
                      properties of the underlying tissue. Proper elucidation of
                      their differences in healthy state and pathology, such as
                      Alzheimer’s or Parkinson’s diseases, requires that these
                      measures must be specific for the tissue or anatomic region
                      of interest. However, they are often subjected to biases
                      caused by partial volume effects and leading to erroneous
                      analyses. The purpose of this work was to develop a novel
                      tool allowing one to eliminate affected voxels from
                      statistical analyses and, thus, improve accuracy of the
                      derived measures and enhance reliability of between-group
                      comparisons.Methods: In vivo diffusion kurtosis measurements
                      were performed with a whole-body 3T Siemens MAGNETOM scanner
                      for two differently aged groups of healthy volunteers. Mean
                      values of typical diffusion tensor and kurtosis tensor
                      metrics were estimated for 20 white matter anatomic regions.
                      Relative differences between the group mean parameters in
                      percentage and Cohen’s d values, as well as p-values of
                      two-sided t-test analysis were evaluated before and after
                      correction for partial volume effects.Results: We showed
                      that using the tissue-specific features of diffusion
                      kurtosis distributions allows one to reduce contamination of
                      white matter structures by partial volume effects from
                      neighbouring grey matter regions and cerebrospinal fluid.
                      The performance of the developed method was demonstrated in
                      the semi-automatic atlasbased comparison of two differently
                      aged groups of healthy subjects showing that, after
                      correction, the effect sizes of between-group differences in
                      many regional diffusion indices become larger, whereas
                      p-values of the t-tests decrease.Conclusion: Our work shows
                      that excluding affected voxels from statistical analyses
                      allows one to reduce confounding effects of mixing tissues
                      and improves between-group comparisons. The proposed method
                      is expected to be especially useful for detection of subtle
                      between-group differences and longitudinal changes in
                      studies of neurodegenerative pathologies and ageing
                      associated with white matter atrophy.},
      cin          = {INM-4 / JARA-BRAIN},
      ddc          = {610},
      cid          = {I:(DE-Juel1)INM-4-20090406 / $I:(DE-82)080010_20140620$},
      pnm          = {573 - Neuroimaging (POF3-573)},
      pid          = {G:(DE-HGF)POF3-573},
      typ          = {PUB:(DE-HGF)16},
      doi          = {10.4172/2161-0460.1000393},
      url          = {https://juser.fz-juelich.de/record/842504},
}