Lack of Structural Brain Alterations associated with Insomnia: Findings from the ENIGMA-Sleep working group

Weihs, Antoine; Stubbe, Beate; Valk, Sofie; Patil, Kaustubh; Zarei, Mojtaba; Bi, Hanwen; Völzke, Henry; Spiegelhalder, Kai; Bülow, Robin; Eickhoff, Simon; Ewert, Ralf; Fietze, Ingo; Hoffstaedter, Felix; Jahanshad, Neda; Thompson, Paul; Grabe, Hans; Riemann, Dieter; Thomopoulos, Sophia; Schiel, Julian; Rostampour, Masoumeh; Afshani, Mortaza; Frenzel, Stefan; Tahmasian, Masoud; Khazaie, Habibolah

doi:10.21203/rs.3.rs-2203610/v1

Preprint

FZJ-2022-04776

Lack of Structural Brain Alterations associated with Insomnia: Findings from the ENIGMA-Sleep working group

Weihs, A. ; Frenzel, S. ; Bi, H.FZJ* ; Schiel, J. ; Afshani, M. ; Bülow, R. ; Ewert, R. ; Fietze, I. ; Hoffstaedter, F.FZJ* ; Jahanshad, N. ; Khazaie, H. ; Riemann, D. ; Rostampour, M. ; Stubbe, B. ; Thomopoulos, S. ; Thompson, P. ; Valk, S.FZJ* ; Völzke, H. ; Zarei, M. ; Eickhoff, S.FZJ* ; Grabe, H. ; Patil, K.FZJ* ; Spiegelhalder, K. ; Tahmasian, M.FZJ*

2022

[10.21203/rs.3.rs-2203610/v1]

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Please use a persistent id in citations: http://hdl.handle.net/2128/32664 doi:10.21203/rs.3.rs-2203610/v1

Abstract: 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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