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@ARTICLE{Li:888085,
      author       = {Li, Changhong and Schreiber, Jan and Bittner, Nora and Li,
                      Shumei and Huang, Ruiwang and Moebus, Susanne and Bauer,
                      Andreas and Caspers, Svenja and Elmenhorst, David},
      title        = {{W}hite {M}atter {M}icrostructure {U}nderlies the {E}ffects
                      of {S}leep {Q}uality and {L}ife {S}tress on {D}epression
                      {S}ymptomatology in {O}lder {A}dults},
      journal      = {Frontiers in aging neuroscience},
      volume       = {12},
      issn         = {1663-4365},
      address      = {Lausanne},
      publisher    = {Frontiers Research Foundation},
      reportid     = {FZJ-2020-04662},
      pages        = {578037},
      year         = {2020},
      abstract     = {Sleep complaints are the most prevalent syndromes in older
                      adults, particularly in women. Moreover, they are frequently
                      accompanied with a high level of depression and stress.
                      Although several diffusion tensor imaging (DTI) studies
                      reported associations between sleep quality and brain white
                      matter (WM) microstructure, it is still unclear whether
                      gender impacts the effect of sleep quality on structural
                      alterations, and whether these alterations mediate the
                      effects of sleep quality on emotional regulation. We
                      included 389 older participants (176 females, age = 65.5 ±
                      5.5 years) from the 1000BRAINS project. Neuropsychological
                      examinations covered the assessments of sleep quality,
                      depressive symptomatology, current stress level, visual
                      working memory, and selective attention ability. Based on
                      the DTI dataset, the diffusion parameter maps, including
                      fractional anisotropy (FA), mean diffusivity (MD), axial
                      diffusivity (AD), and radial diffusivity (RD), were
                      calculated and normalized to a population-specific FA
                      template. According to the global Pittsburgh Sleep Quality
                      Index (PSQI), 119 poor sleepers (PSQI: 10∼17) and 120 good
                      sleepers (PSQI: 3∼6) were identified. We conducted a two
                      by two (good sleepers/poor sleepers) × (males/females)
                      analysis of variance by using tract-based spatial statistics
                      (TBSS) and JHU-ICBM WM atlas-based comparisons. Moreover, we
                      performed a voxel-wise correlation analysis of brain WM
                      microstructure with the neuropsychological tests. Finally,
                      we applied a mediation analysis to explore if the brain WM
                      microstructure mediates the relationship between sleep
                      quality and emotional regulation. No significant differences
                      in brain WM microstructure were detected on the main effect
                      of sleep quality. However, the MD, AD, and RD of pontine
                      crossing tract and bilateral inferior cerebellar peduncle
                      were significant lower in the males than females. Voxel-wise
                      correlation analysis revealed that FA and RD values in the
                      corpus callosum were positively related with depressive
                      symptomatology and negatively related with current stress
                      levels. Additionally, we found a significantly positive
                      association between higher FA values in visual-related WM
                      tracts and better outcomes in a visual pattern recognition
                      test. Furthermore, a mediation analysis suggested that
                      diffusion metrics within the corpus callosum partially
                      mediated the associations between poor sleep quality/high
                      stress and depressive symptomatology.},
      cin          = {INM-2 / INM-1},
      ddc          = {610},
      cid          = {I:(DE-Juel1)INM-2-20090406 / I:(DE-Juel1)INM-1-20090406},
      pnm          = {571 - Connectivity and Activity (POF3-571) / HBP SGA2 -
                      Human Brain Project Specific Grant Agreement 2 (785907) /
                      HBP SGA3 - Human Brain Project Specific Grant Agreement 3
                      (945539)},
      pid          = {G:(DE-HGF)POF3-571 / G:(EU-Grant)785907 /
                      G:(EU-Grant)945539},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {33281597},
      UT           = {WOS:000592438600001},
      doi          = {10.3389/fnagi.2020.578037},
      url          = {https://juser.fz-juelich.de/record/888085},
}