This title appears in the Scientific Report :
2022
Please use the identifier:
http://dx.doi.org/10.21203/rs.3.rs-2203610/v1 in citations.
Please use the identifier: http://hdl.handle.net/2128/32664 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. 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 influe...
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Personal Name(s): | Weihs, Antoine |
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Frenzel, Stefan / Bi, Hanwen / Schiel, Julian / Afshani, Mortaza / Bülow, Robin / Ewert, Ralf / Fietze, Ingo / Hoffstaedter, Felix / Jahanshad, Neda / Khazaie, Habibolah / Riemann, Dieter / Rostampour, Masoumeh / Stubbe, Beate / Thomopoulos, Sophia / Thompson, Paul / Valk, Sofie / Völzke, Henry / Zarei, Mojtaba / Eickhoff, Simon / Grabe, Hans / Patil, Kaustubh / Spiegelhalder, Kai / Tahmasian, Masoud | |
Contributing Institute: |
Gehirn & Verhalten; INM-7 |
Imprint: |
2022
|
DOI: |
10.21203/rs.3.rs-2203610/v1 |
Document Type: |
Preprint |
Research Program: |
Multilevel Brain Organization and Variability |
Link: |
OpenAccess |
Publikationsportal JuSER |
Please use the identifier: http://hdl.handle.net/2128/32664 in citations.
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. |