Evidence map›Paper›PMID 41656618›Full record

ArticleJournal of sleep research2026

Quantifying Cortical Maturational Aspects During Different Vigilance States in Preterm Infants by Advanced EEG Analysis.

Gaia Burlando, Sara Uccella, Valentina Marazzotta, Sheng H Wang, J Matias Palva, Monica Roascio, Andrea Rossi, Luca Antonio Ramenghi, Lino Nobili, Gabriele Arnulfo

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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

10 authors.

Gaia BurlandoDepartment of Informatics, Bioengineering, Robotics and Systems Engineering, University of Genoa, Genoa, Italy.ORCID 0009-0006-8573-6210
Sara UccellaDepartment of Neurosciences, Rehabilitation, Ophthalmology, Genetics, and Maternal and Child Health, University of Genoa, Genoa, Italy.ORCID 0000-0003-4164-2125
Valentina MarazzottaChild Neuropsychiatry Unit, IRCCS Istituto Giannina Gaslini, Genoa, Italy.
Sheng H WangDepartment of Neuroscience and Biomedical Engineering, Aalto University, Espoo, Finland.ORCID 0000-0002-6226-6213
J Matias PalvaDepartment of Neuroscience and Biomedical Engineering, Aalto University, Espoo, Finland.ORCID 0000-0003-1885-2749
Monica RoascioDepartment of Informatics, Bioengineering, Robotics and Systems Engineering, University of Genoa, Genoa, Italy.ORCID 0000-0002-4522-1574
Andrea RossiNeuroradiology Unit, IRCCS Istituto Giannina Gaslini, Genoa, Italy.ORCID 0000-0001-8575-700X
Luca Antonio RamenghiDepartment of Neurosciences, Rehabilitation, Ophthalmology, Genetics, and Maternal and Child Health, University of Genoa, Genoa, Italy.ORCID 0000-0003-0065-762X
Lino NobiliDepartment of Neurosciences, Rehabilitation, Ophthalmology, Genetics, and Maternal and Child Health, University of Genoa, Genoa, Italy.ORCID 0000-0001-9317-5405
Gabriele ArnulfoDepartment of Informatics, Bioengineering, Robotics and Systems Engineering, University of Genoa, Genoa, Italy.ORCID 0000-0002-1140-0320

Funding

5 × 1000 IRCCS GasliniMinistero dell'Università e della Ricerca PE0000006Ministry of HealthUniversity Research Funds - Genoa
6 · The paper itself

Abstract

Preterm birth is a significant risk factor for atypical neurodevelopment, yet early electrophysiological markers of brain maturation are still lacking. Non-invasive electroencephalographic (EEG) monitoring of cortical maturation in these patients holds promise as a tool for neurodevelopmental prediction. However, its clinical application is limited by technical challenges in maintaining stable, long-term electrode placement on very small neonate scalps and by the highly specialised, multi-level expertise required to care for these fragile patients. Using video-polysomnographic EEG recordings in very low birth weight (VLBW, < 1500 g) preterm infants, we characterised large-scale neuronal dynamics during distinct vigilance states and tested whether they could serve as indicators of early cortical maturation. We analysed EEG recordings obtained at 33.9 ± 1.4 weeks postmenstrual age (PMA), during active sleep (AS), sleep onset active sleep (SOAS), quiet sleep (QS), and quiet wakefulness (QW). For each vigilance state, we assessed large-scale neuronal dynamics in terms of phase synchronisation, neuronal bistability, and local phase-amplitude coupling (PAC), both globally and separately for anterior and posterior regions, and correlated them with PMA. We found that phase synchronisation peaked in the δ band during QS and in the θ band during more active states (QW, SOAS, AS). δ-band bistability was lower in posterior regions across all states, while δ-PAC was lower posteriorly during sleep but reversed during wakefulness. Also, bistability and PAC decreased with advancing PMA. These findings suggest that vigilance-state-dependent neuronal dynamics capture aspects of early cortical maturation-even with low-density EEG cap-offering novel candidate biomarkers to monitor neurodevelopment in infants born preterm.

Indexed as

ArousalCerebral CortexElectroencephalographyInfant, PrematureFemaleHumansInfant, NewbornInfant, Very Low Birth WeightMaleNeurodevelopmentPolysomnographySleepWakefulnesscortical maturationcriticalitypolysomnographyprematurity

Identifiers

PMID41656618
PMCPMC13357759

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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.