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@ARTICLE{Weihs:911515,
      author       = {Weihs, Antoine and Frenzel, Stefan and Bi, Hanwen and
                      Schiel, Julian and Afshani, Mortaza and Bülow, Robin and
                      Ewert, Ralf and Fietze, Ingo and Hoffstaedter, Felix and
                      Jahanshad, Neda and Khazaie, Habibolah and Riemann, Dieter
                      and Rostampour, Masoumeh and Stubbe, Beate and Thomopoulos,
                      Sophia and Thompson, Paul and Valk, Sofie and Völzke, Henry
                      and Zarei, Mojtaba and Eickhoff, Simon and Grabe, Hans and
                      Patil, Kaustubh and Spiegelhalder, Kai and Tahmasian,
                      Masoud},
      title        = {{L}ack of {S}tructural {B}rain {A}lterations associated
                      with {I}nsomnia: {F}indings from the {ENIGMA}-{S}leep
                      working group},
      reportid     = {FZJ-2022-04776},
      year         = {2022},
      abstract     = {Existing neuroimaging studies have reported divergent
                      structural alterations in insomnia. Here, we performed a
                      large-scale coordinated meta-analysis by pooling structural
                      brain measures from 1,085 subjects with and without insomnia
                      symptoms across three international ENIGMA-Sleep cohorts.
                      The influence of insomnia on MRI-based brain morphometry
                      using an insomnia brain score was assessed. We collected
                      case-control data from two sites, as well as
                      population-based data from another site. Within each cohort,
                      we used an ordinary least-squares linear regression to
                      investigate the link between the individual regional
                      cortical thickness and subcortical volumes and the presence
                      of insomnia symptoms. Then, we performed a fixed-effects
                      meta-analysis across cohorts based on the first-level
                      results. For the insomnia brain score, weighted logistic
                      ridge regression was performed on one sample, which
                      separated patients with insomnia disorder from controls to
                      train a model based on the segmentation measurements.
                      Afterward, the insomnia brain scores were validated using
                      the other two samples. The model was used to predict the
                      log-odds of the subjects with insomnia given individual
                      insomnia-related brain atrophy. After adjusting for multiple
                      comparisons, we did not detect any significant associations
                      between insomnia symptoms and cortical or subcortical
                      volumes, nor could we identify a global insomnia-related
                      brain atrophy pattern. The current study found inconsistent
                      brain morphology differences between individuals with and
                      without insomnia across three independent cohorts. Further
                      large-scale cross-sectional and longitudinal studies using
                      both structural and functional neuroimaging data are
                      warranted to decipher the pathophysiology of insomnia at the
                      brain level.},
      cin          = {INM-7},
      cid          = {I:(DE-Juel1)INM-7-20090406},
      pnm          = {5251 - Multilevel Brain Organization and Variability
                      (POF4-525)},
      pid          = {G:(DE-HGF)POF4-5251},
      typ          = {PUB:(DE-HGF)25},
      doi          = {10.21203/rs.3.rs-2203610/v1},
      url          = {https://juser.fz-juelich.de/record/911515},
}