Abnormal dynamic functional connectivity in the hippocampal subregions of patients with untreated moderate-to-severe obstructive sleep apnea.

Cerebellum Cognitive function Dynamic functional connectivity Obstructive sleep apnea Support vector machine

Journal

Sleep medicine
ISSN: 1878-5506
Titre abrégé: Sleep Med
Pays: Netherlands
ID NLM: 100898759

Informations de publication

Date de publication:
Dec 2023
Historique:
received: 29 08 2023
revised: 19 10 2023
accepted: 30 10 2023
medline: 30 11 2023
pubmed: 9 11 2023
entrez: 8 11 2023
Statut: ppublish

Résumé

To investigate the dynamic change characteristics of dynamic functional connectivity (dFC) between the hippocampal subregions (anterior and posterior) and other brain regions in obstructive sleep apnoea (OSA) and its relationship with cognitive function, and to explore whether these characteristics can be used to distinguish OSA from healthy controls (HCs). Eighty-five patients with newly diagnosed moderate-to-severe OSA and 85 HCs were enrolled. All participants underwent resting-state functional magnetic resonance imaging (fMRI). The difference between dFC values between the hippocampal subregions and other brain regions in OSA patients and HCs was compared using the two-sample t tests. Correlation analyses were used to assess the relationship between dFC, clinical data, and cognitive functions in OSA patients. dFC values from different brain regions were used as classification features to distinguish between the two groups using a support vector machine. Compared with HCs, the dFC values between the left anterior hippocampus and right culmen of the cerebellum anterior lobe, right anterior hippocampus and left lingual gyrus, and left posterior hippocampus and left precentral gyrus were significantly lower, and the dFC values between the left posterior hippocampus and precuneus were significantly higher in OSA patients. The dFC values between the left posterior hippocampus and the precuneus of OSA patients were associated with sleep-related indicators and Montreal Cognitive Assessment scores. Support vector machine analysis results showed that dFC values in different brain regions could distinguish OSA patients from HCs. dFC patterns between the hippocampal subregions and other brain regions were altered in patients with OSA, including the cerebellum, default mode networks, sensorimotor networks, and visual function networks, which is possibly associated with cognitive decline. In addition, the dFC values of different brain regions could effectively distinguish OSA patients from HCs. These findings provide new perspectives on neurocognition in these patients.

Identifiants

pubmed: 37939546
pii: S1389-9457(23)00415-X
doi: 10.1016/j.sleep.2023.10.037
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

273-281

Informations de copyright

Copyright © 2023 The Author(s). Published by Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare no potential conflicts of interest in this work.

Auteurs

Ling Huang (L)

Medical Imaging Center, The First Affiliated Hospital of Nanchang University, Nanchang, China.

Yongqiang Shu (Y)

Medical Imaging Center, The First Affiliated Hospital of Nanchang University, Nanchang, China.

Xiang Liu (X)

Medical Imaging Center, The First Affiliated Hospital of Nanchang University, Nanchang, China.

Lifeng Li (L)

Medical Imaging Center, The First Affiliated Hospital of Nanchang University, Nanchang, China.

Ting Long (T)

Medical Imaging Center, The First Affiliated Hospital of Nanchang University, Nanchang, China.

Li Zeng (L)

Medical Imaging Center, The First Affiliated Hospital of Nanchang University, Nanchang, China.

Yumeng Liu (Y)

Medical Imaging Center, The First Affiliated Hospital of Nanchang University, Nanchang, China.

Yingke Deng (Y)

Medical Imaging Center, The First Affiliated Hospital of Nanchang University, Nanchang, China.

Haijun Li (H)

Medical Imaging Center, The First Affiliated Hospital of Nanchang University, Nanchang, China; PET Center, The First Affiliated Hospital of Nanchang University, Nanchang, China. Electronic address: haijunli1990@ncu.edu.cn.

Dechang Peng (D)

Medical Imaging Center, The First Affiliated Hospital of Nanchang University, Nanchang, China; PET Center, The First Affiliated Hospital of Nanchang University, Nanchang, China. Electronic address: ndyfy02170@ncu.edu.cn.

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