Evidence map›Paper›PMID 41039907›Full record

ArticleJournal of sleep research2026

Tone-Evoked Sleep Electroencephalographic Slow Oscillations as a Function of Peripheral Rhythms: New Insights Into the Brain-Heart Integration.

Mohamad Forouzanfar, Sepehr Sardooeinasab, Fiona C Baker, Ian M Colrain, Massimiliano de Zambotti

Abstract read
In one paragraph

Article in Journal of sleep research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Mohamad ForouzanfarCenter for Health Sciences, SRI International, Menlo Park, California, USA.ORCID 0000-0001-8849-0144
Sepehr SardooeinasabDepartment of Electrical Engineering, École de Technologie Supérieure, Université du Québec, Montréal, Canada.ORCID 0009-0002-1767-7264
Fiona C BakerCenter for Health Sciences, SRI International, Menlo Park, California, USA.
Ian M ColrainCenter for Health Sciences, SRI International, Menlo Park, California, USA.
Massimiliano de ZambottiCenter for Health Sciences, SRI International, Menlo Park, California, USA.ORCID 0000-0002-0057-5977

Funding

Natural Sciences and Engineering Research Council of Canada RGPIN-2021-03924NIH HHS AA021690NIH HHS AA021696
6 · The paper itself

Abstract

Recent studies have shown that acoustic stimulation, a common neuromodulation technique, can enhance slow-wave activity (SWA), which is associated with immune, autonomic nervous system activity and cognitive health benefits. Despite some disagreement, many studies suggest that maximising tone-evoked SWA depends on the timing of the acoustic stimulus in relation to ongoing cortical slow oscillations. Given the close connection between the central and peripheral systems during sleep, particularly at the cortico-cardiac level, we here aimed to examine the overlooked relationship between the timing of stimulation and the dominant cortical and cardiac rhythms. We evaluated the effect of acoustic stimulation in different phases of the EEG slow oscillation (SO; ~0.8 Hz) component of SWA (0.5-4 Hz) and heart rate (HR) low-frequency (LF) (0.04-0.15 Hz) and high-frequency (HF) (0.15-0.4 Hz) oscillations on tone-evoked EEG slow activity and HR profiles. One hundred thirty-three adolescents underwent overnight polysomnography where acoustic tones (80 dB at 1000 Hz for 50 msec) were played with a random 15-30 s interstimulus interval. The analysis was limited to artefact and arousal-free episodes of NREM sleep. Playing acoustic tones in the upstate phases of EEG SOs, upstate phases of HR LF oscillations and downstate phases of HR HF oscillations induced significantly higher peak-to-peak amplitude EEG SOs (110%, 16% and 7%, respectively) (p < 0.001) and HR oscillations (16%, 56% and 25%, respectively) (p < 0.001), produced a greater number of EEG SOs (22%, 12% and 5%, respectively) and increased the SWA (3%, 14% and 3%, respectively) (p < 0.05) in contrast to playing tones in the other phase (downstate phases of EEG SOs, downstate phases of LF oscillations and upstate phases of HR HF oscillations). Our findings reveal complex interactions between the central and peripheral nervous systems in processing external stimuli, leading to significant variations in postcortical and cardiac oscillations. These results have potential implications for developing deep sleep enhancement technologies using adaptive interventions based on multidimensional oscillations.

Indexed as

Acoustic StimulationBrainElectroencephalographyHeart RateSleepSleep, Slow-WaveAdolescentFemaleHumansMalePolysomnographyacoustic stimulationbrain–heart couplingelectroencephalogramheart rateslow wave activity

Identifiers

PMID41039907
PMCPMC13193504

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.