Abstract
OBJECTIVE: 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. The present study investigated whether structural brain connectivity deviations differ between recently discovered and validated insomnia subtypes.
METHODS: Structural and diffusion weighted 3-Tesla MRI data of four independent studies were harmonized. The sample consisted of 73 controls without sleep complaints and 204 participants with insomnia grouped into five subtypes based on their fingerprint of mood and personality traits assessed with the Insomnia Type Questionnaire. Linear regression correcting for age and sex evaluated group differences in structural connectivity strength, indicated by fractional anisotropy, streamline volume density and mean diffusivity, and evaluated within three different atlases.
RESULTS: Insomnia subtypes showed differentiating profiles of deviating structural connectivity which concentrated in different functional networks. Permutation testing against randomly drawn heterogeneous subsamples indicated significant specificity of deviation profiles in four of the five subtypes: highly distressed, moderately distressed reward sensitive, slightly distressed low reactive and slightly distressed high reactive. Connectivity deviation profile significance ranged from p= 0.001 to p=0.049 for different resolutions of brain parcellation and connectivity weight.
CONCLUSIONS: Our results provide a first indication that different insomnia subtypes exhibit distinct profiles of deviations in structural brain connectivity. Subtyping of insomnia could be essential for a better understanding of brain mechanisms that contribute to insomnia vulnerability.
Original language | English |
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Journal | Biological psychiatry |
DOIs | |
Publication status | E-pub ahead of print - 27 Jun 2024 |
Bibliographical note
Copyright © 2024. Published by Elsevier Inc.Funding
This work was supported by ZonMw, the Open Competition project (Grant No. 09120011910032 REMOVE), and the European Research Council Advanced Grant (Grant No. 101055383 OVERNIGHT). TB, JL, and OL-K have been supported by Vrije Universiteit Amsterdam University Research Fellowships. A previous version of this article was published as a preprint on bioRxiv: https://doi.org/10.1101/2023.11.01.565094. The authors report no biomedical financial interests or potential conflicts of interest.
Funders | Funder number |
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ZonMw | 09120011910032 REMOVE |
European Research Council | 101055383 OVERNIGHT |