Evidence map›Paper›PMID 35862450›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2022

fMRI spectral signatures of sleep.

Chen Song, Melanie Boly, Enzo Tagliazucchi, Helmut Laufs, Giulio Tononi

Open access · hybridAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed
6.1field-weighted citation impact, top 3% 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

54 citing papers in PubMed, 60 citations in OpenAlex.

  1. Review
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  6. Linearizing and Forecasting: A Reservoir Computing Route to Digital Twins of the Brain.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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  14. Sleep neuroimaging: Review and future directions.Journal of sleep research · 2025
    Review
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  19. Amplitude fluctuations of cerebrovascular oscillations and CSF movement desynchronize during NREM3 sleep.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2025
    Article
  20. 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

5 authors at 3 institutions in 5 countries.

Chen SongDepartment of Psychiatry, University of Wisconsin-Madison, Madison, WI, 53719.ORCID 0000-0002-5418-5747
Melanie BolyDepartment of Psychiatry, University of Wisconsin-Madison, Madison, WI, 53719.
Enzo TagliazucchiDepartamento de Física, Universidad de Buenos Aires and Instituto de Física de Buenos Aires, Ciudad Universitaria, Buenos Aires, 1428, Argentina.
Helmut LaufsDepartment of Neurology and Brain Imaging Center, Goethe University, Frankfurt, 60528, Germany.
Giulio TononiDepartment of Psychiatry, University of Wisconsin-Madison, Madison, WI, 53719.ORCID 0000-0002-3892-4087
University of Wisconsin–Madison · USAdolfo Ibáñez University · CLGoethe University Frankfurt · DE

Funding

Wellcome Trust 209192/Z/17/Z
6 · The paper itself

Abstract

Sleep can be distinguished from wake by changes in brain electrical activity, typically assessed using electroencephalography (EEG). The hallmark of nonrapid-eye-movement (NREM) sleep is the shift from high-frequency, low-amplitude wake EEG to low-frequency, high-amplitude sleep EEG dominated by spindles and slow waves. Here we identified signatures of sleep in brain hemodynamic activity, using simultaneous functional MRI (fMRI) and EEG. We found that, at the transition from wake to sleep, fMRI blood oxygen level-dependent (BOLD) activity evolved from a mixed-frequency pattern to one dominated by two distinct oscillations: a low-frequency (<0.1 Hz) oscillation prominent in light sleep and correlated with the occurrence of spindles, and a high-frequency oscillation (>0.1 Hz) prominent in deep sleep and correlated with the occurrence of slow waves. The two oscillations were both detectable across the brain but exhibited distinct spatiotemporal patterns. During the falling-asleep process, the low-frequency oscillation first appeared in the thalamus, then the posterior cortex, and lastly the frontal cortex, while the high-frequency oscillation first appeared in the midbrain, then the frontal cortex, and lastly the posterior cortex. During the waking-up process, both oscillations disappeared first from the thalamus, then the frontal cortex, and lastly the posterior cortex. The BOLD oscillations provide local signatures of spindle and slow wave activity. They may be employed to monitor the regional occurrence of sleep or wakefulness, track which regions are the first to fall asleep or wake up at the wake-sleep transitions, and investigate local homeostatic sleep processes.

Indexed as

BrainMagnetic Resonance ImagingSleepElectroencephalographyHumansOxygenWakefulnessOxygenBOLD oscillationsfMRI-EEGsleepwake–sleep transitions

Identifiers

PMID35862450
PMCPMC9335231
OpenAlexW4286492093

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.