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@ARTICLE{Schiel:1009296,
      author       = {Schiel, Julian E and Tamm, Sandra and Holub, Florian and
                      Petri, Roxana and Dashti, Hassan S and Domschke, Katharina
                      and Feige, Bernd and Goodman, Matthew O and Jones, Samuel E
                      and Lane, Jacqueline M and Ratti, Pietro-Luca and Ray, David
                      W and Redline, Susan and Riemann, Dieter and Rutter, Martin
                      K and Saxena, Richa and Sexton, Claire E and Tahmasian,
                      Masoud and Wang, Heming and Weedon, Michael N and Weihs,
                      Antoine and Kyle, Simon D and Spiegelhalder, Kai},
      title        = {{A}ssociations between sleep health and grey matter volume
                      in the {UK} {B}iobank cohort ( {N} = 33,356)},
      journal      = {Brain communications},
      volume       = {5},
      number       = {4},
      issn         = {2632-1297},
      address      = {[Großbritannien]},
      publisher    = {Guarantors of Brain},
      reportid     = {FZJ-2023-02746},
      pages        = {fcad200},
      year         = {2023},
      abstract     = {As suggested by previous research, sleep health is assumed
                      to be a key determinant of future morbidity and mortality.
                      In line with this, recent studies have found that poor sleep
                      is associated with impaired cognitive function. However, to
                      date, little is known about brain structural abnormalities
                      underlying this association. Although recent findings link
                      sleep health deficits to specific alterations in grey matter
                      volume, evidence remains inconsistent and reliant on small
                      sample sizes.Addressing this problem, the current
                      preregistered study investigated associations between sleep
                      health and grey matter volume (139 imaging-derived
                      phenotypes) in the UK Biobank cohort (33,356 participants).
                      Drawing on a large sample size and consistent data
                      acquisition, sleep duration, insomnia symptoms, daytime
                      sleepiness, chronotype, sleep medication, and sleep apnoea
                      were examined.Our main analyses revealed that long sleep
                      duration was systematically associated with larger grey
                      matter volume of basal ganglia substructures. Insomnia
                      symptoms, sleep medication and sleep apnoea were not
                      associated with any of the 139 imaging-derived phenotypes.
                      Short sleep duration, daytime sleepiness as well as late and
                      early chronotype were associated with solitary
                      imaging-derived phenotypes (no recognizable pattern, small
                      effect sizes).To our knowledge, this is the largest study to
                      test associations between sleep health and grey matter
                      volume. Clinical implications of the association between
                      long sleep duration and larger grey matter volume of basal
                      ganglia are discussed. Insomnia symptoms as operationalised
                      in the UK Biobank do not translate into grey matter volume
                      findings.},
      cin          = {INM-7},
      ddc          = {610},
      cid          = {I:(DE-Juel1)INM-7-20090406},
      pnm          = {5252 - Brain Dysfunction and Plasticity (POF4-525)},
      pid          = {G:(DE-HGF)POF4-5252},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {37492488},
      UT           = {WOS:001036190500001},
      doi          = {10.1093/braincomms/fcad200},
      url          = {https://juser.fz-juelich.de/record/1009296},
}