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@ARTICLE{Weihs:911515,
author = {Weihs, Antoine and Frenzel, Stefan and Bi, Hanwen and
Schiel, Julian and Afshani, Mortaza and Bülow, Robin and
Ewert, Ralf and Fietze, Ingo and Hoffstaedter, Felix and
Jahanshad, Neda and Khazaie, Habibolah and Riemann, Dieter
and Rostampour, Masoumeh and Stubbe, Beate and Thomopoulos,
Sophia and Thompson, Paul and Valk, Sofie and Völzke, Henry
and Zarei, Mojtaba and Eickhoff, Simon and Grabe, Hans and
Patil, Kaustubh and Spiegelhalder, Kai and Tahmasian,
Masoud},
title = {{L}ack of {S}tructural {B}rain {A}lterations associated
with {I}nsomnia: {F}indings from the {ENIGMA}-{S}leep
working group},
reportid = {FZJ-2022-04776},
year = {2022},
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.},
cin = {INM-7},
cid = {I:(DE-Juel1)INM-7-20090406},
pnm = {5251 - Multilevel Brain Organization and Variability
(POF4-525)},
pid = {G:(DE-HGF)POF4-5251},
typ = {PUB:(DE-HGF)25},
doi = {10.21203/rs.3.rs-2203610/v1},
url = {https://juser.fz-juelich.de/record/911515},
}