Evidence map›Paper›PMID 37932259›Full record

ArticleNature communications2023

Covariance patterns between sleep health domains and distributed intrinsic functional connectivity.

Yulin Wang, Sarah Genon, Debo Dong, Feng Zhou, Chenyu Li, Dahua Yu, Kai Yuan, Qinghua He, Jiang Qiu, Tingyong Feng and 2 more

Abstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

24 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Yulin WangSleep and NeuroImaging Center, Faculty of Psychology, Southwest University, Chongqing, China.ORCID 0000-0002-5320-3421
Sarah GenonInstitute of Neuroscience and Medicine, Brain & Behaviour (INM-7), Research Centre Jülich, Jülich, Germany.ORCID 0000-0002-7087-7882
Debo DongKey Laboratory of Cognition and Personality, Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China.ORCID 0000-0002-8931-2806
Feng ZhouKey Laboratory of Cognition and Personality, Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China.
Chenyu LiSleep Center, Department of Brain Disease, Chongqing Traditional Chinese Medicine Hospital, Chongqing, China.
Dahua YuInformation Processing Laboratory, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia, China.
Kai YuanSchool of Life Science and Technology, Xidian University, Xi'an, Shanxi, China.
Qinghua HeKey Laboratory of Cognition and Personality, Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China.ORCID 0000-0001-6396-6273
Jiang QiuKey Laboratory of Cognition and Personality, Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China.
Tingyong FengKey Laboratory of Cognition and Personality, Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China.ORCID 0000-0001-9278-6474
Hong ChenKey Laboratory of Cognition and Personality, Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China.
Xu LeiSleep and NeuroImaging Center, Faculty of Psychology, Southwest University, Chongqing, China. xlei@swu.edu.cn.ORCID 0000-0003-2271-1287

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

ConnectomeSleep Initiation and Maintenance DisordersBrainHumansMagnetic Resonance ImagingSleep

Identifiers

PMID37932259
PMCPMC10628193

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.