• Media type: E-Article
  • Title: Lack of structural brain alterations associated with insomnia: findings from the ENIGMA‐Sleep Working Group
  • Contributor: Weihs, Antoine [Author]; Frenzel, Stefan [Author]; Khazaie, Habibolah [Author]; Riemann, Dieter [Author]; Rostampour, Masoumeh [Author]; Stubbe, Beate [Author]; Thomopoulos, Sophia I. [Author]; Thompson, Paul M. [Author]; Valk, Sofie L. [Author]; Völzke, Henry [Author]; Zarei, Mojtaba [Author]; Eickhoff, Simon B. [Author]; Bi, Hanwen [Author]; Grabe, Hans J. [Author]; Patil, Kaustubh R. [Author]; Spiegelhalder, Kai [Author]; Tahmasian, Masoud [Author]; Schiel, Julian E. [Author]; Afshani, Mortaza [Author]; Bülow, Robin [Author]; Ewert, Ralf [Author]; Fietze, Ingo [Author]; Hoffstaedter, Felix [Author]; Jahanshad, Neda [Author]
  • Published: Wiley-Blackwell, 2023
  • Published in: Journal of sleep research 32(5), e13884 (2023). doi:10.1111/jsr.13884
  • Language: English
  • DOI: https://doi.org/10.1111/jsr.13884; https://doi.org/10.34734/FZJ-2023-01582
  • ISSN: 0962-1105; 1365-2869
  • Origination:
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  • Description: 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 ...
  • Access State: Open Access