Evidence map›Paper›PMID 40236365›Full record

ArticleCureus2025

Spectral Power Analysis of Delta Waves in Neonatal Electroencephalography: A Tool for Assessing Brain Maturation and Injury.

Yuma Kitase, Takehiko Hiroma, Yosuke Onishi, Yui Koyabu, Sora Jones, Ai Yoshino, Sora Hayashi, Haru Hayashi, Rin Hayashi, Seiya Shiraki and 9 more

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PubMed Full text at PMC Publisher
In one paragraph

Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

19 authors.

Yuma KitaseDepartment of Pediatrics, International University of Health and Welfare, Narita Hospital, Narita, JPN.
Takehiko HiromaDivision of Neonatology, Nagano Children's Hospital, Azumino, JPN.
Yosuke OnishiFaculty of Medicine, International University of Health and Welfare, Narita Hospital, Narita, JPN.
Yui KoyabuFaculty of Medicine, International University of Health and Welfare, Narita Hospital, Narita, JPN.
Sora JonesFaculty of Medicine, International University of Health and Welfare, Narita Hospital, Narita, JPN.
Ai YoshinoFaculty of Medicine, International University of Health and Welfare, Narita Hospital, Narita, JPN.
Sora HayashiFaculty of Medicine, Tomaya University, Toyama, JPN.
Haru HayashiFaculty of Medicine, Nagoya City University, Nagoya, JPN.
Rin HayashiFaculty of Dentistry, School of Dentistry, Asahi University, Mizuho, JPN.
Seiya ShirakiFaculty of Medicine, Comenius University, Bratislava, SVK.
Chie IshikawaDepartment of Psychology, Aichi University of Education, Kariya, JPN.
Yukihide MiyosawaDepartment of Pediatrics, Shinshu University Hospital, Matsumoto, JPN.
Dila ZaferDepartment of Neurology, Basaksehir Cam and Sakura City Hospital, University of Health Sciences, Istanbul, TUR.
Atsuko ObaDepartment of Pediatrics, International University of Health and Welfare, Narita Hospital, Narita, JPN.
Fumiya YamaideDepartment of Pediatrics, International University of Health and Welfare, Narita Hospital, Narita, JPN.
Kohei KashimaDepartment of Pediatrics, International University of Health and Welfare, Narita Hospital, Narita, JPN.
Tadashi ShiohamaDepartment of Pediatrics, International University of Health and Welfare, Narita Hospital, Narita, JPN.
Katsunori FujiiDepartment of Pediatrics, International University of Health and Welfare, Narita Hospital, Narita, JPN.
Tetsuo KubotaDepartment of Pediatrics, Anjo Kosei Hospital, Anjo, JPN.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent advances in neonatal care have improved survival rates of preterm infants but highlighted the persistent challenge of neurological impairments. This study focuses on delta wave analysis in neonatal electroencephalography (EEG) as a marker for brain maturation and injury. Using quantitative EEG methods, including spectral power analysis, we examined 399 EEG recordings from infants with gestational ages spanning 23-42 weeks. Results demonstrated significant maturation-related changes in delta wave spectral power across cortical regions, particularly in lower-frequency bands. Suppression of delta wave power correlated with visual assessments of brain injury severity. These findings suggest that delta wave spectral power analysis enhances the precision of brain function evaluation, providing a valuable complement to conventional methods such as amplitude-integrated EEG (aEEG). This approach holds potential for improving early diagnosis and guiding therapeutic interventions for neonatal brain injuries.

Indexed as

brain injury evaluationbrain maturationdelta wavesneonatal eegspectral power analysis

Identifiers

PMID40236365
PMCPMC11998618

What Socratic holds

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LicenceCC BY
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Registered trials

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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 Socratic graph.