Convergent and divergent functional connectivityalterations of hippocampal subregions between short-term and chronic insomnia disorder.
Chronic insomnia disorder
Functional connectivity
Hippocampal subregions
Short-term insomnia disorder
Journal
Brain imaging and behavior
ISSN: 1931-7565
Titre abrégé: Brain Imaging Behav
Pays: United States
ID NLM: 101300405
Informations de publication
Date de publication:
Apr 2021
Apr 2021
Historique:
pubmed:
29
7
2020
medline:
28
4
2021
entrez:
29
7
2020
Statut:
ppublish
Résumé
Insomnia disorder (ID) is reclassified into short-term and chronic subtypes based on recent etiological advances, however, neural mechanisms underlying the subtypes are rarely examined. In this study, we investigated gray matter volume and resting-state functional connectivity (RSFC) alterations of hippocampal subregions in short-term and chronic ID using multimodal MRI. We found convergent and divergent alterations between both ID groups in specific hippocampal subregions [right cornu ammonis 1 (CA1), subicular complex (Subc), and caudal hippocampus, (cHipp)] with prefrontal cortex [bilateral medial prefrontal cortex (MPFC), and right middle frontal gyrus] and limbic/paralimbic regions (bilateral middle cingulate cortex and left parahippocampal gyrus). Intriguingly, the RSFC of the right CA1/cHipp, particularly the intersection between these two subregions, with bilateral MPFC exhibited gradual increases from healthy controls to short-term ID and from short-term ID to chronic ID. Moreover, a negative correlation between the right CA1-left parahippocampal gyrus RSFC and Epworth Sleepiness Scale scores, and a positive correlation between the right CA1-bilateral MPFC RSFC and Insomnia Severity Index scores were found in the chronic ID group (P < 0.05). Our findings suggest convergent and divergent RSFC alterations of specific hippocampal subregions with the prefrontal cortex and limbic/paralimbic regions between short-term and chronic ID. These findings suggest that the hippocampus is a key node in establishing diagnostic and categorical biomarkers in ID and developing more effective treatment strategies.
Identifiants
pubmed: 32720181
doi: 10.1007/s11682-020-00306-6
pii: 10.1007/s11682-020-00306-6
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
986-995Subventions
Organisme : National Natural Science Foundation of China (CN)
ID : 81771807
Organisme : Science and Technology Planning Project of Guangdong Province
ID : 2017A020215077
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