TY  - JOUR
AU  - Weihs, Antoine
AU  - Frenzel, Stefan
AU  - Bi, Hanwen
AU  - Schiel, Julian E.
AU  - Afshani, Mortaza
AU  - Bülow, Robin
AU  - Ewert, Ralf
AU  - Fietze, Ingo
AU  - Hoffstaedter, Felix
AU  - Jahanshad, Neda
AU  - Khazaie, Habibolah
AU  - Riemann, Dieter
AU  - Rostampour, Masoumeh
AU  - Stubbe, Beate
AU  - Thomopoulos, Sophia I.
AU  - Thompson, Paul M.
AU  - Valk, Sofie L.
AU  - Völzke, Henry
AU  - Zarei, Mojtaba
AU  - Eickhoff, Simon B.
AU  - Grabe, Hans J.
AU  - Patil, Kaustubh R.
AU  - Spiegelhalder, Kai
AU  - Tahmasian, Masoud
TI  - Lack of structural brain alterations associated with insomnia: findings from the ENIGMA‐Sleep Working Group
JO  - Journal of sleep research
VL  - 32
IS  - 5
SN  - 0962-1105
CY  - Oxford [u.a.]
PB  - Wiley-Blackwell
M1  - FZJ-2023-01582
SP  - e13884
PY  - 2023
AB  - 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.
LB  - PUB:(DE-HGF)16
C6  - 36944539
UR  - <Go to ISI:>//WOS:000954145300001
DO  - DOI:10.1111/jsr.13884
UR  - https://juser.fz-juelich.de/record/1005639
ER  -