Covariance patterns between sleep health domains and distributed intrinsic functional connectivity.
Covariance patterns between sleep health domains and distributed intrinsic functional connectivity.
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DOI：
10.1038/s41467-023-42945-5
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发表时间：
2023-11-06
影响因子：
16.6
通讯作者：
Lei, Xu
中科院分区：
文献类型：
--
作者：
Wang, Yulin;Genon, Sarah;Dong, Debo;Zhou, Feng;Li, Chenyu;Yu, Dahua;Yuan, Kai;He, Qinghua;Qiu, Jiang;Feng, Tingyong;Chen, Hong;Lei, Xu
Sleep health is both conceptually and operationally a composite concept containing multiple domains of sleep. In line with this, high dependence and interaction across different domains of sleep health encourage a transition in sleep health research from categorical to dimensional approaches that integrate neuroscience and sleep health. Here, we seek to identify the covariance patterns between multiple sleep health domains and distributed intrinsic functional connectivity by applying a multivariate approach (partial least squares). This multivariate analysis reveals a composite sleep health dimension co-varying with connectivity patterns involving the attentional and thalamic networks and which appear relevant at the neuromolecular level. These findings are further replicated and generalized to several unseen independent datasets. Critically, the identified sleep-health related connectome shows diagnostic potential for insomnia disorder. These results together delineate a potential brain connectome biomarker for sleep health with high potential for clinical translation. The relationship between sleep health and brain functional connectivity is not well understood. Here, the authors reveal a composite sleep health dimension which covaries with connectivity of the attentional and thalamic networks.
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DOI：
10.1093/cercor/bhw157
发表时间：
2016-08
期刊：
Cerebral cortex (New York, N.Y. : 1991)
影响因子：
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4.1
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3.8
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Linkenkaer-Hansen K