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@INPROCEEDINGS{Jokisch:1025115,
      author       = {Jokisch, Martha and Schramm, Sara and Jockwitz, Christiane
                      and Caspers, Svenja and Jöckel, Karl-Heinz and Erbel,
                      Raimund and Weimar, Christian and Hermann, Dirk and
                      Gronewold, Janine},
      title        = {{A}ssociation of white matter hyperintensity burden and
                      cognitive performance in young‐aged, middle‐aged and
                      old‐aged participants: {R}esults of the population‐based
                      1000{BRAINS} study},
      reportid     = {FZJ-2024-02702},
      year         = {2023},
      abstract     = {BackgroundSome individuals seem less susceptible to the
                      effect of high white matter hyperintensity (WMH) load on
                      cognition reflecting differences in individual cognitive
                      reserve (CR). Little is known about young- or middle-aged
                      participants. The aim of the present study was to examine
                      (1) the effect of WMH on global cognition in three different
                      age groups and (2) if education (as proxy for CR) moderates
                      this association.MethodWe included 707 healthy participants
                      (18-85 years) without evidence of
                      cardiovascular/neurological disease (young-aged: 18-44 years
                      (Ø33.5±6.7): n = 108; middle-aged: 45-65 years
                      (Ø57.9±5.5): n = 341; old-aged: >65 years (Ø72.0±4.1): n
                      = 258) from the population-based 1000BRAINS study. An
                      extensive cognitive assessment was conducted. The sum of all
                      cognitive domain z-scores defined the global score.
                      Education was classified according to the International
                      Standard Classification of Education as total years of
                      formal education, combining school and vocational training.
                      Magnetic resonance imaging (MRI) was carried out on a
                      3-Tesla-MR-scanner (Tim-TRIO, Siemens Medical Systems,
                      Erlangen, Germany). WMH volume was determined using the
                      Brain-Intensity-Abnormality-Classification-Algorithm. The
                      associations of global cognition as outcome with WMH volume
                      (in cm3) as predictor were analyzed using linear models
                      (PROCESS v4.1 macro for SPPS) stratified by age group
                      resulting in regression coefficient b with $95\%$ confidence
                      intervals (CI; adjusted for age, sex, depression, diabetes
                      mellitus). To examine moderation effects of education, all
                      models contained an interaction term (WMH x
                      education).ResultHigher WMH volume was associated with lower
                      global cognition in middle-aged participants (b:-0.27 (-0.52
                      to -0.03, all reported results are fully adjusted). This
                      effect was moderated by education (interaction term: b:-0.07
                      (-0.014 to -0.01)). In the young-aged group, the association
                      between WMH load and cognition was -1.27 (-3.30 to 0.77). No
                      association was found in the old-aged group (b: -0.03 (-0.20
                      to 0.14)).ConclusionHigher WMH load was associated with
                      lower cognitive performance only in middle-aged participants
                      and was moderated to a small degree by education. Overall,
                      the influence of WMH on global cognition in our cohort of
                      healthy participants seems limited. Future analyses will
                      focus on specific cognitive domains that might be more
                      vulnerable to higher WMH load and will examine participants
                      with certain cardiovascular risk profile.},
      month         = {Jul},
      date          = {2023-07-16},
      organization  = {AAIC 2023, Amsterdam (Netherlands), 16
                       Jul 2023 - 20 Jul 2023},
      cin          = {INM-1},
      ddc          = {610},
      cid          = {I:(DE-Juel1)INM-1-20090406},
      pnm          = {5251 - Multilevel Brain Organization and Variability
                      (POF4-525)},
      pid          = {G:(DE-HGF)POF4-5251},
      typ          = {PUB:(DE-HGF)1},
      url          = {https://juser.fz-juelich.de/record/1025115},
}