Evidence map›Paper›PMID 41238552›Full record

ArticleNature communications2025

Cortical hierarchy underlying homeostatic sleep pressure alleviation.

Qihong Zou, Guangyuan Zou, Shilei Wang, Yan Wang, Jing Xu, Yujie Long, Shuqin Zhou, Xiuwen Wu, Guoyuan Yang, Lang Qin and 6 more

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
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

16 authors.

Qihong ZouCenter for MRI Research, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China. zouqihong@pku.edu.cn.ORCID http://orcid.org/0000-0001-8732-6633
Guangyuan ZouCenter for MRI Research, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China.
Shilei WangCenter for MRI Research, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China.
Yan WangCenter for MRI Research, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China.
Jing XuCenter for MRI Research, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China.
Yujie LongCenter for Magnetic Resonance Imaging Research & Key Laboratory of Brain-Machine Intelligence for Information Behavior (Ministry of Education and Shanghai), School of Business and Management, Shanghai International Studies University, Shanghai, China.
Shuqin ZhouCenter for MRI Research, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China.
Xiuwen WuCenter for Biomedical Imaging, University of Science and Technology of China, Hefei, China.
Guoyuan YangSchool of Interdisciplinary Science, Beijing Institute of Technology, Beijing, China.ORCID http://orcid.org/0000-0002-7864-3714
Lang QinSchool of Chinese as a Second Language, Peking University, Beijing, China.
Zi Hui SuDepartment of Bioengineering, Imperial College, London, UK.
Zaixu CuiChinese Institute for Brain Research, Beijing, China.ORCID http://orcid.org/0000-0003-4385-8106
Xi-Nian ZuoState Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China.ORCID http://orcid.org/0000-0001-9110-585X
Xiangdong TangSleep Medicine Center, West China Hospital, Sichuan University, Chengdu, China.
Hengyi RaoCenter for Magnetic Resonance Imaging Research & Key Laboratory of Brain-Machine Intelligence for Information Behavior (Ministry of Education and Shanghai), School of Business and Management, Shanghai International Studies University, Shanghai, China. hengyi@pennmedicine.upenn.edu.ORCID http://orcid.org/0000-0003-2735-2500
Jia-Hong GaoCenter for MRI Research, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China. jgao@pku.edu.cn.ORCID http://orcid.org/0000-0002-9311-0297

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sleep dissipates accumulated sleep pressure and restores brain function, yet how this recovery unfolds across the cortical hierarchy remains unclear. Here, we record simultaneous electroencephalogram (EEG) and blood oxygen level-dependent (BOLD) functional magnetic resonance imaging data from 130 healthy adults to map spatial patterns underlying sleep pressure alleviation. Compared to wakefulness, sleep elicits spatially heterogeneous changes in BOLD fluctuation along a sensory-association cortical gradient. The magnitude of these sleep-wake differences correlates with individual slow-wave activity and is most pronounced during the first hour of sleep. As slow waves dissipates, these hierarchical differences are progressively downscaled, implicating homeostatic regulation in sculpting cortical plasticity. In addition, the homeostatic regulation of BOLD fluctuation amplitude is spatially associated with the regional distribution of glycolysis. Finally, recovery sleep reinstates hierarchical BOLD dynamics after sleep loss in an independent sleep deprivation study. These findings consistently suggest a cortical hierarchy underlying the dynamic changes in sleep homeostasis.

Indexed as

Cerebral CortexHomeostasisSleepAdultBrain MappingElectroencephalographyFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedOxygenSleep DeprivationWakefulnessYoung AdultOxygen

Identifiers

PMID41238552
PMCPMC12618624

What Socratic 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 Socratic graph.