Evidence map›Paper›PMID 29021546›Full record

ArticleScientific reports2017

Functional maturation in preterm infants measured by serial recording of cortical activity.

N J Stevenson, L Oberdorfer, N Koolen, J M O'Toole, T Werther, K Klebermass-Schrehof, S Vanhatalo

2 registry-linked trialsAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
–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.

NCT03493113 completednot on this map

Transient Hypothyroxinemia of Prematurity: Electrophysiological Changes in the Preterm Infants' Brain, a Retrospective Study

TypeobservationalSponsorUniversitaire Ziekenhuizen KU LeuvenRan2011 to 2017Enrolled87ConditionsTransient Hypothyroxinemia of PrematurityArmsEEG
NCT07324941 recruitingnot on this mapstarted 2026, after this paper: background citation

The Role of Electroencephalography Evaluation in Caffeine Discontinuation Timing in Premature Infants

Typeobservational_patient_registrySponsorUludag UniversityRan2026 to 2027Enrolled100ConditionsApnea Neonatal, Apnea of Prematurity
3 · Its place in the literature

Who cites it

25 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. [Research progress in electroencephalogram-based brain age prediction].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2025
    Review
  5. Article
  6. Article
  7. Resting state electroencephalographic brain activity in neonates can predict age and is indicative of neurodevelopmental outcome.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2024
    Article
  8. Review
  9. Sensory event-related potential morphology predicts age in premature infants.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2024
    Article
  10. [A preliminary study on a new method for evaluating brain maturation in preterm infants].Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2023
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Automated cot-side tracking of functional brain age in preterm infants.Annals of clinical and translational neurology · 2020
    Article
  16. Review
  17. Article
  18. Article
  19. 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

7 authors.

N J StevensonDepartment of Neurological Sciences, Faculty of Medicine, University of Helsinki, Helsinki, Finland. nathan.stevenson@helsinki.fi.
L OberdorferDepartment of Pediatrics, Medical University of Vienna, Vienna, Austria.
N KoolenDepartment of Neurological Sciences, Faculty of Medicine, University of Helsinki, Helsinki, Finland.
J M O'TooleIrish Centre for Fetal and Neonatal Translational Research, University College Cork, Cork, Ireland.
T WertherDepartment of Pediatrics, Medical University of Vienna, Vienna, Austria.
K Klebermass-SchrehofDepartment of Pediatrics, Medical University of Vienna, Vienna, Austria.
S VanhataloDepartment of Neurological Sciences, Faculty of Medicine, University of Helsinki, Helsinki, Finland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Minimally invasive, automated cot-side tools for monitoring early neurological development can be used to guide individual treatment and benchmark novel interventional studies. We develop an automated estimate of the EEG maturational age (EMA) for application to serial recordings in preterm infants. The EMA estimate was based on a combination of 23 computational features estimated from both the full EEG recording and a period of low EEG activity (46 features in total). The combination function (support vector regression) was trained using 101 serial EEG recordings from 39 preterm infants with a gestational age less than 28 weeks and normal neurodevelopmental outcome at 12 months of age. EEG recordings were performed from 24 to 38 weeks post-menstrual age (PMA). The correlation between the EMA and the clinically determined PMA at the time of EEG recording was 0.936 (95%CI: 0.932-0.976; n = 39). All infants had an increase in EMA between the first and last EEG recording and 57/62 (92%) of repeated measures within an infant had an increasing EMA with PMA of EEG recording. The EMA is a surrogate measure of age that can accurately determine brain maturation in preterm infants.

Indexed as

AlgorithmsCerebral CortexElectroencephalographyHumansInfant, NewbornInfant, Premature

Identifiers

PMID29021546
PMCPMC5636845

What OpenQuestion holds

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Registered trials

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.