Evidence map›Paper›PMID 36111884›Full record

ArticleHuman brain mapping2023

The role of ascending arousal network in patients with chronic insomnia disorder.

Liang Gong, Kewu He, Fang Cheng, Zhenping Deng, Kang Cheng, Xi'e Zhang, Wenjun Zhou, Jing Ou, Jian Wang, Bei Zhang and 3 more

Open access · goldAbstract read
In one paragraph

Article in Human brain mapping, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.3field-weighted citation impact, top 11% of its field
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

12 citing papers in PubMed, 22 citations in OpenAlex.

  1. Trial
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  7. Brain communications · 2025
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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

13 authors at 3 institutions in 1 country.

Liang GongDepartment of Neurology, Chengdu Second People's Hospital, Chengdu, Sichuan, China.ORCID 0000-0001-9807-8049
Kewu HeDepartment of Radiology, The Third Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.
Fang ChengDepartment of Neurology, The Third Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.
Zhenping DengDepartment of Radiology, Chengdu Second People's Hospital, Chengdu, Sichuan, China.
Kang ChengDepartment of Radiology, Chengdu Second People's Hospital, Chengdu, Sichuan, China.
Xi'e ZhangDepartment of Radiology, Chengdu Second People's Hospital, Chengdu, Sichuan, China.
Wenjun ZhouSouthwest Petroleum University, Chengdu, Sichuan, China.
Jing OuSouthwest Petroleum University, Chengdu, Sichuan, China.
Jian WangDepartment of Neurology, Chengdu Second People's Hospital, Chengdu, Sichuan, China.
Bei ZhangDepartment of Neurology, Chengdu Second People's Hospital, Chengdu, Sichuan, China.
Xin DingDepartment of Neurology, Chengdu Second People's Hospital, Chengdu, Sichuan, China.
Ronghua XuDepartment of Neurology, Chengdu Second People's Hospital, Chengdu, Sichuan, China.
Chunhua XiDepartment of Neurology, The Third Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.
Chengdu Second People's Hospital · CNAnhui Medical University · CNSouthwest Petroleum University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The ascending arousal system plays a crucial role in individuals' consciousness. Recently, advanced functional magnetic resonance imaging (fMRI) has made it possible to investigate the ascending arousal network (AAN) in vivo. However, the role of AAN in the neuropathology of human insomnia remains unclear. Our study aimed to explore alterations in AAN and its connections with cortical networks in chronic insomnia disorder (CID). Resting-state fMRI data were acquired from 60 patients with CID and 60 good sleeper controls (GSCs). Changes in the brain's functional connectivity (FC) between the AAN and eight cortical networks were detected in patients with CID and GSCs. Multivariate pattern analysis (MVPA) was employed to differentiate CID patients from GSCs and predict clinical symptoms in patients with CID. Finally, these MVPA findings were further verified using an external data set (32 patients with CID and 33 GSCs). Compared to GSCs, patients with CID exhibited increased FC within the AAN, as well as increased FC between the AAN and default mode, cerebellar, sensorimotor, and dorsal attention networks. These AAN-related FC patterns and the MVPA classification model could be used to differentiate CID patients from GSCs with 88% accuracy in the first cohort and 77% accuracy in the validation cohort. Moreover, the MVPA prediction models could separately predict insomnia (data set 1, R

Indexed as

Sleep Initiation and Maintenance DisordersArousalBrainBrain MappingCerebellumConsciousnessHumansMagnetic Resonance Imaginganxietyascending arousal systemchronic insomnia disorderfunctional connectivitymultivariate pattern analysis

Identifiers

PMID36111884
PMCPMC9842899
OpenAlexW4296027770

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

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.