Evidence map›Paper›PMID 32652818›Full record

ArticleHuman brain mapping2020

Loss of frontal regulator of vigilance during sleep inertia: A simultaneous EEG-fMRI study.

Xinyuan Chen, Ching-Fen Hsu, Dan Xu, Jing Yu, Xu Lei

Open access · goldAbstract read
In one paragraph

Article in Human brain mapping, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

16 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
  2. [A novel mental fatigue detecting method based on single-channel electroencephalogram using hybrid convolutional neural network combined with Transformer].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2026
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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

5 authors at 2 institutions in 1 country.

Xinyuan ChenSleep and NeuroImaging Center, Faculty of Psychology, Southwest University, Chongqing, China.ORCID 0000-0002-5866-4665
Ching-Fen HsuResearch Center for Language Pathology and Developmental Neurosciences, College of Foreign Languages, Hunan University, Changsha, China.
Dan XuSleep and NeuroImaging Center, Faculty of Psychology, Southwest University, Chongqing, China.
Jing YuSleep and NeuroImaging Center, Faculty of Psychology, Southwest University, Chongqing, China.
Xu LeiSleep and NeuroImaging Center, Faculty of Psychology, Southwest University, Chongqing, China.ORCID 0000-0003-2271-1287
Ministry of Education of the People's Republic of China · CNHunan University · CN

Funding

Major Project of Medicine Science and Technology of PLA AWS17J012National Natural Science Foundation of China 31971028National Science Foundation of China 31971007
6 · The paper itself

Abstract

Sleep inertia refers to a distinct physiological state of waking up from sleep accompanied by performance impairments and sleepiness. The neural substrates of sleep inertia are unknown, but growing evidence suggests that this inertia state maintains certain sleep features. To investigate the neurophysiological mechanisms of sleep inertia, a comparison of pre-sleep and post-sleep wakefulness with eyes-open resting-state was performed using simultaneous EEG-fMRI, which has the potential to reveal the dynamic details of neuroelectric and hemodynamic responses with high temporal resolution. Our data suggested sleep-like features of slow EEG power and decreased BOLD activity were persistent during sleep inertia. In the pre-sleep phase, participants with stronger EEG vigilance showed stronger activity in the fronto-parietal network (FPN), but this phenomenon disappeared during sleep inertia. A time course analysis confirmed a decreased correlation between EEG vigilance and the FPN activity during sleep inertia. This simultaneous EEG-fMRI study advanced our understanding of sleep inertia and revealed the importance of the FPN in maintaining awareness. This is the first study to reveal the dynamic brain network changes from multi-modalities perspective during sleep inertia.

Indexed as

ConnectomeElectroencephalographyMagnetic Resonance ImagingAdolescentAdultArousalFemaleHumansMaleNerve NetParietal LobePrefrontal CortexSleepWakefulnessYoung AdultEEG vigilancefronto-parietal networkresting-statesimultaneous EEG-fMRIsleep inertia

Identifiers

PMID32652818
PMCPMC7502830
OpenAlexW3042171525

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.