This title appears in the Scientific Report :
2023
Please use the identifier:
http://dx.doi.org/10.34734/FZJ-2023-01582 in citations.
Please use the identifier: http://dx.doi.org/10.1111/jsr.13884 in citations.
Lack of structural brain alterations associated with insomnia: findings from the ENIGMA‐Sleep Working Group
Lack of structural brain alterations associated with insomnia: findings from the ENIGMA‐Sleep Working Group
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 insomn...
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Personal Name(s): | Weihs, Antoine |
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Frenzel, Stefan / Bi, Hanwen / Schiel, Julian E. / Afshani, Mortaza / Bülow, Robin / Ewert, Ralf / Fietze, Ingo / Hoffstaedter, Felix / Jahanshad, Neda / Khazaie, Habibolah / Riemann, Dieter / Rostampour, Masoumeh / Stubbe, Beate / Thomopoulos, Sophia I. / Thompson, Paul M. / Valk, Sofie L. / Völzke, Henry / Zarei, Mojtaba / Eickhoff, Simon B. / Grabe, Hans J. / Patil, Kaustubh R. / Spiegelhalder, Kai / Tahmasian, Masoud (Corresponding author) | |
Contributing Institute: |
Gehirn & Verhalten; INM-7 |
Published in: | Journal of sleep research, 32 (2023) 5, S. e13884 |
Imprint: |
Oxford [u.a.]
Wiley-Blackwell
2023
|
DOI: |
10.34734/FZJ-2023-01582 |
DOI: |
10.1111/jsr.13884 |
Document Type: |
Journal Article |
Research Program: |
Neuroimaging |
Link: |
OpenAccess OpenAccess |
Publikationsportal JuSER |
Please use the identifier: http://dx.doi.org/10.1111/jsr.13884 in citations.
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. |