Evidence map›Paper›PMID 33159205›Full record

ArticleSleep2021

Changes in EEG permutation entropy in the evening and in the transition from wake to sleep.

Fengzhen Hou, Lulu Zhang, Baokun Qin, Giulia Gaggioni, Xinyu Liu, Gilles Vandewalle

Abstract read
In one paragraph

Article in Sleep, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
–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

21 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. The entropic brain today.Brain : a journal of neurology · 2026
    Review
  3. Article
  4. Article
  5. Orexin effect on physiological pulsations of the human brain.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
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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

6 authors.

Fengzhen HouSchool of Science, China Pharmaceutical University, Nanjing, China.
Lulu ZhangSchool of Science, China Pharmaceutical University, Nanjing, China.
Baokun QinSchool of Computer, Chongqing University, Chongqing, China.
Giulia GaggioniGIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium.
Xinyu LiuSchool of Science, China Pharmaceutical University, Nanjing, China.
Gilles VandewalleGIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium.

Funding

National Sleep Research Resource (NSRR)R24HL114473 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI REDLINE, SUSAN S., ZHANG, GUO-QIANG · 2013 to 2017
$7.5M
DATA COORDINATING CENTER FOR SLEEP HEART STUDYU01HL064360 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI DIENER-WEST, MARIE · 1999 to 2007
$4.4M
The Sleep Heart Health Study (SHHS)U01HL053938 · NHLBI · UNIVERSITY OF ARIZONA · PI QUAN, STUART F. · 1994 to 2007
$2.0M
SLEEP HEART HEALTH STUDYU01HL053931 · NHLBI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI RAPOPORT, DAVID M. · 1994 to 2003
$1.9M
THE SLEEP HEART HEALTH STUDYU01HL053937 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI PUNJABI, NARESH · 1994 to 2007
$1.6M
SLEEP HEART HEALTH STUDYU01HL053916 · NHLBI · UNIVERSITY OF CALIFORNIA DAVIS · PI ROBBINS, JOHN A · 1994 to 2007
$1.5M
THE SLEEP HEART HEALTH STUDYU01HL053934 · NHLBI · UNIVERSITY OF MINNESOTA TWIN CITIES · PI SHAHAR, EYAL · 1994 to 2007
$1.4M
SLEEP HEART HEALTH STUDYU01HL053941 · NHLBI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI O'CONNOR, GEORGE T · 1994 to 2007
$1.4M
NHLBI NIH HHS R24 HL114473NHLBI NIH HHS U01 HL053916NHLBI NIH HHS U01 HL053931NHLBI NIH HHS U01 HL053934NHLBI NIH HHS U01 HL053937NHLBI NIH HHS U01 HL053938NHLBI NIH HHS U01 HL053941NHLBI NIH HHS U01 HL064360
6 · The paper itself

Abstract

Quantifying the complexity of the EEG signal during prolonged wakefulness and during sleep is gaining interest as an additional mean to characterize the mechanisms associated with sleep and wakefulness regulation. Here, we characterized how EEG complexity, as indexed by Multiscale Permutation Entropy (MSPE), changed progressively in the evening prior to light off and during the transition from wakefulness to sleep. We further explored whether MSPE was able to discriminate between wakefulness and sleep around sleep onset and whether MSPE changes were correlated with spectral measures of the EEG related to sleep need during concomitant wakefulness (theta power-Ptheta: 4-8 Hz). To address these questions, we took advantage of large datasets of several hundred of ambulatory EEG recordings of individual of both sexes aged 25-101 years. Results show that MSPE significantly decreases before light off (i.e. before sleep time) and in the transition from wakefulness to sleep onset. Furthermore, MSPE allows for an excellent discrimination between pre-sleep wakefulness and early sleep. Finally, we show that MSPE is correlated with concomitant Ptheta. Yet, the direction of the latter correlation changed from before light-off to the transition to sleep. Given the association between EEG complexity and consciousness, MSPE may track efficiently putative changes in consciousness preceding sleep onset. An MSPE stands as a comprehensive measure that is not limited to a given frequency band and reflects a progressive change brain state associated with sleep and wakefulness regulation. It may be an effective mean to detect when the brain is in a state close to sleep onset.

Indexed as

SleepWakefulnessBrainElectroencephalographyEntropyFemaleHumansMalecomplexityelectroencephalographyentropymultiscale analysissleep need

Identifiers

PMID33159205
PMCPMC8033463

What OpenQuestion holds

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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.