Insomnia Subtypes Have Differentiating Deviations in Brain Structural Connectivity

Insomnia disorder is the most common sleep disorder. A better understanding of insomnia-related deviations in the brain could inspire better treatment. Insufficiently recognized heterogeneity within the insomnia population could obscure detection of involved brain circuits. In the current study, we...

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Bibliographic Details
Published in:Biological psychiatry (1969) 2024-06
Main Authors: Bresser, Tom, Blanken, Tessa F., de Lange, Siemon C., Leerssen, Jeanne, Foster-Dingley, Jessica C., Lakbila-Kamal, Oti, Wassing, Rick, Ramautar, Jennifer R., Stoffers, Diederick, van den Heuvel, Martijn P., Van Someren, Eus J.W.
Format: Article
Language:English
Subjects:
Connectivity
Heterogeneity
Insomnia
Neuroimaging
Subtypes
White matter
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Summary:Insomnia disorder is the most common sleep disorder. A better understanding of insomnia-related deviations in the brain could inspire better treatment. Insufficiently recognized heterogeneity within the insomnia population could obscure detection of involved brain circuits. In the current study, we investigated whether structural brain connectivity deviations differed between recently discovered and validated insomnia subtypes. Structural and diffusion-weighted 3T magnetic resonance imaging data from 4 independent studies were harmonized. The sample consisted of 73 control participants without sleep complaints and 204 participants with insomnia who were grouped into 5 insomnia subtypes based on their fingerprint of mood and personality traits assessed with the Insomnia Type Questionnaire. Linear regression correcting for age and sex was used to evaluate group differences in structural connectivity strength, indicated by fractional anisotropy, streamline volume density, and mean diffusivity and evaluated within 3 different atlases. Insomnia subtypes showed differentiating profiles of deviating structural connectivity that were concentrated in different functional networks. Permutation testing against randomly drawn heterogeneous subsamples indicated significant specificity of deviation profiles in 4 of the 5 subtypes: highly distressed, moderately distressed reward sensitive, slightly distressed low reactive, and slightly distressed high reactive. Connectivity deviation profile significance ranged from p = .001 to p = .049 for different resolutions of brain parcellation and connectivity weight. Our results provide an initial indication that different insomnia subtypes exhibit distinct profiles of deviations in structural brain connectivity. Subtyping insomnia may be essential for a better understanding of brain mechanisms that contribute to insomnia vulnerability.
ISSN:0006-3223
1873-2402
1873-2402
DOI:10.1016/j.biopsych.2024.06.014