Evidence map›Paper›PMID 42248685›Full record

ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2026

Infra-slow (<0.1 Hz) Modulation of Human Brain Pulsations in Awake and Sleep States.

Tommi Väyrynen, Heta Helakari, Vesa Korhonen, Johanna Tuunanen, Niko Huotari, Janne Kananen, Seyed-Mohsen Ebrahimi, Ahmed Elabasy, Matti Järvelä, Katariina Hautamäki and 6 more

Abstract read
In one paragraph

Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Tommi VäyrynenOulu Functional Neuroimaging, Faculty of Medicine, University of Oulu, Oulu 90014, Finland tommi.vayrynen@oulu.fi.ORCID https://orcid.org/0000-0003-4123-5917
Heta HelakariOulu Functional Neuroimaging, Faculty of Medicine, University of Oulu, Oulu 90014, Finland.ORCID https://orcid.org/0000-0002-4354-4687
Vesa KorhonenOulu Functional Neuroimaging, Faculty of Medicine, University of Oulu, Oulu 90014, Finland.
Johanna TuunanenOulu Functional Neuroimaging, Faculty of Medicine, University of Oulu, Oulu 90014, Finland.ORCID https://orcid.org/0000-0002-3065-8124
Niko HuotariOulu Functional Neuroimaging, Faculty of Medicine, University of Oulu, Oulu 90014, Finland.
Janne KananenOulu Functional Neuroimaging, Faculty of Medicine, University of Oulu, Oulu 90014, Finland.ORCID https://orcid.org/0000-0001-6831-8056
Seyed-Mohsen EbrahimiOulu Functional Neuroimaging, Faculty of Medicine, University of Oulu, Oulu 90014, Finland.ORCID https://orcid.org/0000-0002-9395-7017
Ahmed ElabasyOulu Functional Neuroimaging, Faculty of Medicine, University of Oulu, Oulu 90014, Finland.
Matti JärveläOulu Functional Neuroimaging, Faculty of Medicine, University of Oulu, Oulu 90014, Finland.ORCID https://orcid.org/0000-0001-9899-3570
Katariina HautamäkiOulu Functional Neuroimaging, Faculty of Medicine, University of Oulu, Oulu 90014, Finland.
Katariina LaurénOulu Functional Neuroimaging, Faculty of Medicine, University of Oulu, Oulu 90014, Finland.ORCID https://orcid.org/0009-0009-4677-9826
Lauri RaitamaaOulu Functional Neuroimaging, Faculty of Medicine, University of Oulu, Oulu 90014, Finland.ORCID https://orcid.org/0000-0003-2884-6510
Ulla SalmiOulu Functional Neuroimaging, Faculty of Medicine, University of Oulu, Oulu 90014, Finland.
Johanna PiispalaResearch Unit of Health Sciences and Technology, Faculty of Medicine, University of Oulu, Oulu 90014, Finland.
Mika KallioResearch Unit of Health Sciences and Technology, Faculty of Medicine, University of Oulu, Oulu 90014, Finland.ORCID https://orcid.org/0000-0002-7908-9823
Vesa KiviniemiOulu Functional Neuroimaging, Faculty of Medicine, University of Oulu, Oulu 90014, Finland.ORCID https://orcid.org/0000-0003-0184-8524

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The human brain exhibits three propagating pulsations, namely, cardiovascular, respiratory, and infra-slow fluctuations (ISFs <0.1 Hz), which are thought to contribute to the flow of intracranial fluids. While their pulsation characteristics have been extensively studied, their mutual dependencies have not been systematically investigated. Using ultrafast whole-brain magnetic resonance encephalography fMRI sequence, we analyzed the frequency domain up to 5 Hz for cross-frequency oscillatory interactions in awake and NREM sleep states of 23 (13 F, 10 M) healthy volunteers. Using phase transfer entropy analysis, we found that in the awake state the resting-state network (RSN) activity largely predicted the neurofluid (NF) signal changes. NREM sleep was associated with increased power of ISF and with altered directed coupling patterns between RSN and NF components. Importantly, within these independent signal sources, we found three distinct cross-frequency coupling frequency ranges occurring at ISF (<0.1 Hz), respiratory (∼0.25 Hz), and cardiovascular (∼1 Hz) frequencies, where the slower pulsations generally predicted the faster ones, except for a finding of inverted cardiorespiratory coupling in NREM-2 sleep. These results suggest the presence of directional ISF mediated mechanisms underlying brain pulsations that contribute to driving the intracranial fluid transfer processes.

Indexed as

BrainSleepSleep StagesWakefulnessAdultElectroencephalographyFemaleHumansMagnetic Resonance ImagingMaleYoung Adultbrain pulsationscross-frequency couplingCSF dynamicsfMRIneurofluidsleep

Identifiers

PMID42248685
PMCPMC13421144

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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.