The impact of REM sleep loss on human brain connectivity.


Journal

Translational psychiatry
ISSN: 2158-3188
Titre abrégé: Transl Psychiatry
Pays: United States
ID NLM: 101562664

Informations de publication

Date de publication:
02 Jul 2024
Historique:
received: 13 04 2024
accepted: 21 06 2024
revised: 20 06 2024
medline: 3 7 2024
pubmed: 3 7 2024
entrez: 2 7 2024
Statut: epublish

Résumé

Brain function is vulnerable to the consequences of inadequate sleep, an adverse trend that is increasingly prevalent. The REM sleep phase has been implicated in coordinating various brain structures and is hypothesized to have potential links to brain variability. However, traditional imaging research have encountered challenges in attributing specific brain region activity to REM sleep, remained understudied at the whole-brain connectivity level. Through the spilt-night paradigm, distinct patterns of REM sleep phases were observed among the full-night sleep group (n = 36), the early-night deprivation group (n = 41), and the late-night deprivation group (n = 36). We employed connectome-based predictive modeling (CPM) to delineate the effects of REM sleep deprivation on the functional connectivity of the brain (REM connectome) during its resting state. The REM sleep-brain connectome was characterized by stronger connectivity within the default mode network (DMN) and between the DMN and visual networks, while fewer predictive edges were observed. Notably, connections such as those between the cingulo-opercular network (CON) and the auditory network, as well as between the subcortex and visual networks, also made significant contributions. These findings elucidate the neural signatures of REM sleep loss and reveal common connectivity patterns across individuals, validated at the group level.

Identifiants

pubmed: 38956035
doi: 10.1038/s41398-024-02985-x
pii: 10.1038/s41398-024-02985-x
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

270

Informations de copyright

© 2024. The Author(s).

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Auteurs

Tianqi Di (T)

Department of Pharmacology, School of Basic Medical Sciences, National Institute on Drug Dependence, Peking University, Beijing, 100191, China.
Beijing Key Laboratory of Drug Dependence, Peking University, Beijing, 100191, China.

Libo Zhang (L)

Department of Pharmacology, School of Basic Medical Sciences, National Institute on Drug Dependence, Peking University, Beijing, 100191, China.
Shenzhen Key Laboratory for Drug Addiction and Medication Safety, Shenzhen Public Service Platform for Clinical Application of Medical Imaging, Department of Ultrasound, Peking University Shenzhen Hospital, Shenzhen-PKU-HKUST Medical Center, Shenzhen, 518036, China.

Shiqiu Meng (S)

Department of Pharmacology, School of Basic Medical Sciences, National Institute on Drug Dependence, Peking University, Beijing, 100191, China.
Beijing Key Laboratory of Drug Dependence, Peking University, Beijing, 100191, China.

Wangyue Liu (W)

Department of Pharmacology, School of Basic Medical Sciences, National Institute on Drug Dependence, Peking University, Beijing, 100191, China.

Yang Guo (Y)

Department of Pharmacology, School of Basic Medical Sciences, National Institute on Drug Dependence, Peking University, Beijing, 100191, China.

Enyu Zheng (E)

Department of Pharmacology, School of Basic Medical Sciences, National Institute on Drug Dependence, Peking University, Beijing, 100191, China.

Chao Xie (C)

Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, 200433, China.

Shitong Xiang (S)

Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, 200433, China.

Tianye Jia (T)

Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, 200433, China.

Lin Lu (L)

Department of Pharmacology, School of Basic Medical Sciences, National Institute on Drug Dependence, Peking University, Beijing, 100191, China.

Yan Sun (Y)

Department of Pharmacology, School of Basic Medical Sciences, National Institute on Drug Dependence, Peking University, Beijing, 100191, China. sunyan@bjmu.edu.cn.
Beijing Key Laboratory of Drug Dependence, Peking University, Beijing, 100191, China. sunyan@bjmu.edu.cn.

Jie Shi (J)

Department of Pharmacology, School of Basic Medical Sciences, National Institute on Drug Dependence, Peking University, Beijing, 100191, China. shijie@bjmu.edu.cn.
Beijing Key Laboratory of Drug Dependence, Peking University, Beijing, 100191, China. shijie@bjmu.edu.cn.
The Key Laboratory for Neuroscience of the Ministry of Education and Health, Peking University, Beijing, 100191, China. shijie@bjmu.edu.cn.
The State Key Laboratory of Natural and Biomimetic Drugs, Peking University, Beijing, 100191, China. shijie@bjmu.edu.cn.
Henan Collaborative Innovation Center of Prevention and Treatment of Mental Disorder, Xinxiang, 453000, China. shijie@bjmu.edu.cn.

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