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| Hauptseite > Publikationsdatenbank > Lack of Structural Brain Alterations associated with Insomnia: Findings from the ENIGMA-Sleep working group > print |
| Hauptseite > Publikationsdatenbank > Lack of Structural Brain Alterations associated with Insomnia: Findings from the ENIGMA-Sleep working group > print |
| 001 | 911515 | ||
| 005 | 20221118130916.0 | ||
| 024 | 7 | _ | |a 10.21203/rs.3.rs-2203610/v1 |2 doi |
| 024 | 7 | _ | |a 2128/32664 |2 Handle |
| 037 | _ | _ | |a FZJ-2022-04776 |
| 100 | 1 | _ | |a Weihs, Antoine |0 P:(DE-HGF)0 |b 0 |
| 245 | _ | _ | |a Lack of Structural Brain Alterations associated with Insomnia: Findings from the ENIGMA-Sleep working group |
| 260 | _ | _ | |c 2022 |
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| 520 | _ | _ | |a 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. |
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| 773 | _ | _ | |a 10.21203/rs.3.rs-2203610/v1 |
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