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@ARTICLE{Jockwitz:892015,
      author       = {Jockwitz, Christiane and Mérillat, Susan and Liem,
                      Franziskus and Oschwald, Jessica and Amunts, Katrin and
                      Jäncke, Lutz and Caspers, Svenja},
      title        = {{G}eneralizing {L}ongitudinal {A}ge {E}ffects on {B}rain
                      {S}tructure – {A} {T}wo-{S}tudy {C}omparison {A}pproach},
      journal      = {Frontiers in human neuroscience},
      volume       = {15},
      issn         = {1662-5161},
      address      = {Lausanne},
      publisher    = {Frontiers Research Foundation},
      reportid     = {FZJ-2021-01875},
      pages        = {635687},
      year         = {2021},
      abstract     = {Cross-sectional studies indicate that normal aging is
                      accompanied by decreases in brain structure. Longitudinal
                      studies, however, are relatively rare and inconsistent
                      regarding their outcomes. Particularly the heterogeneity of
                      methods, sample characteristics and the high
                      inter-individual variability in older adults prevent the
                      deduction of general trends. Therefore, the current study
                      aimed to compare longitudinal age-related changes in brain
                      structure (measured through cortical thickness) in two large
                      independent samples of healthy older adults (n = 161 each);
                      the Longitudinal Healthy Aging Brain (LHAB) database project
                      at the University of Zurich, Switzerland, and 1000BRAINS at
                      the Research Center Juelich, Germany. Annual percentage
                      changes in the two samples revealed stable to slight
                      decreases in cortical thickness over time. After correction
                      for major covariates, i.e., baseline age, sex, education,
                      and image quality, sample differences were only marginally
                      present. Results suggest that general trends across time
                      might be generalizable over independent samples, assuming
                      the same methodology is used, and similar sample
                      characteristics are present.},
      cin          = {INM-1},
      ddc          = {610},
      cid          = {I:(DE-Juel1)INM-1-20090406},
      pnm          = {525 - Decoding Brain Organization and Dysfunction
                      (POF4-525)},
      pid          = {G:(DE-HGF)POF4-525},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {33935669},
      UT           = {WOS:000645440300001},
      doi          = {10.3389/fnhum.2021.635687},
      url          = {https://juser.fz-juelich.de/record/892015},
}