%0 Journal Article
%A Weihs, Antoine
%A Frenzel, Stefan
%A Bi, Hanwen
%A Schiel, Julian E.
%A Afshani, Mortaza
%A Bülow, Robin
%A Ewert, Ralf
%A Fietze, Ingo
%A Hoffstaedter, Felix
%A Jahanshad, Neda
%A Khazaie, Habibolah
%A Riemann, Dieter
%A Rostampour, Masoumeh
%A Stubbe, Beate
%A Thomopoulos, Sophia I.
%A Thompson, Paul M.
%A Valk, Sofie L.
%A Völzke, Henry
%A Zarei, Mojtaba
%A Eickhoff, Simon B.
%A Grabe, Hans J.
%A Patil, Kaustubh R.
%A Spiegelhalder, Kai
%A Tahmasian, Masoud
%T Lack of structural brain alterations associated with insomnia: findings from the ENIGMA‐Sleep Working Group
%J Journal of sleep research
%V 32
%N 5
%@ 0962-1105
%C Oxford [u.a.]
%I Wiley-Blackwell
%M FZJ-2023-01582
%P e13884
%D 2023
%X Existing neuroimaging studies have reported divergent structural alterations in insomnia disorder (ID). In the present study, we performed a large-scale coordinated meta-analysis by pooling structural brain measures from 1085 subjects (mean [SD] age 50.5 [13.9] years, 50.2% female, 17.4% with insomnia) across three international Enhancing NeuroImaging Genetics through Meta-Analysis (ENIGMA)-Sleep cohorts. Two sites recruited patients with ID/controls: Freiburg (University of Freiburg Medical Center, Freiburg, Germany) 42/43 and KUMS (Kermanshah University of Medical Sciences, Kermanshah, Iran) 42/49, while the Study of Health in Pomerania (SHIP-Trend, University Medicine Greifswald, Greifswald, Germany) recruited population-based individuals with/without insomnia symptoms 75/662. The influence of insomnia on magnetic resonance imaging-based brain morphometry using an insomnia brain score was then assessed. Within each cohort, we used an ordinary least-squares linear regression to investigate the link between the individual regional cortical 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 (Freiburg), which separated patients with ID 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. Thus, we observed inconsistent brain morphology differences between individuals with and without insomnia across three independent cohorts. Further large-scale cross-sectional/longitudinal studies using both structural and functional neuroimaging are warranted to decipher the neurobiology of insomnia.
%F PUB:(DE-HGF)16
%9 Journal Article
%$ 36944539
%U <Go to ISI:>//WOS:000954145300001
%R 10.1111/jsr.13884
%U https://juser.fz-juelich.de/record/1005639