Reduced structural connectivity in Insomnia Disorder.
diffusion tensor imaging
insomnia
insula
neuroimaging
sleep
structural connectivity
Journal
Journal of sleep research
ISSN: 1365-2869
Titre abrégé: J Sleep Res
Pays: England
ID NLM: 9214441
Informations de publication
Date de publication:
02 2020
02 2020
Historique:
received:
22
05
2019
revised:
28
06
2019
accepted:
08
07
2019
pubmed:
14
9
2019
medline:
22
8
2020
entrez:
14
9
2019
Statut:
ppublish
Résumé
Insomnia Disorder is the most prevalent sleep disorder, and it involves both sleep difficulties and daytime complaints. The neural underpinnings of Insomnia Disorder are poorly understood. Several existing neuroimaging studies focused on local measures and specific regions of interests, which makes it difficult to judge their whole-brain significance. We therefore here applied a data-driven approach to assess differences in whole-brain structural connectivity between adults with Insomnia Disorder and matched controls without sleep complaints. We used diffusion tensor imaging and probabilistic tractography to assess whole-brain structural connectivity, and examined group differences using network-based statistics. The results revealed a significant difference in the structural connectivity of the two groups (p = .014). Participants with Insomnia Disorder showed reduced connectivity in a sub-network that included mainly fronto-subcortical connections with the insula as a key region. By taking a whole-brain network perspective, our study enables the integration of previous inconsistent findings. Our results reveal that reduced structural connectivity of the left insula and the connections between frontal and subcortical regions are central neurobiological features of Insomnia Disorder. The importance of these areas for interoception, emotional processing, stress responses and the generation of slow-wave sleep may help guide the development of neurobiology-based models of the prevalent condition of Insomnia Disorder.
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
e12901Informations de copyright
© 2019 European Sleep Research Society.
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