Evidence map›Paper›PMID 32368863›Full record

ArticleAnnals of clinical and translational neurology2020

Automated cot-side tracking of functional brain age in preterm infants.

Nathan J Stevenson, Lisa Oberdorfer, Maria-Luisa Tataranno, Michael Breakspear, Paul B Colditz, Linda S de Vries, Manon J N L Benders, Katrin Klebermass-Schrehof, Sampsa Vanhatalo, James A Roberts

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in Annals of clinical and translational neurology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
10.8field-weighted citation impact, top 1% of its field
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

29 citing papers in PubMed, 57 citations in OpenAlex.

  1. Frontal lead in preterm functional brain maturation.Developmental cognitive neuroscience · 2026
    Article
  2. Neonatal brain-age models in full- and preterm infants.Developmental cognitive neuroscience · 2026
    Article
  3. Article
  4. Neonatal brain-age models in full- and preterm infants.bioRxiv : the preprint server for biology · 2026
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  8. Maturation of Neuronal Activity in the Human Cortex Exhibits Robust Spatial Gradients across the Birth Transition.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
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  14. 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
  15. Neuronal Coupling Modes Show Differential Development in the Early Cortical Activity Networks of Human Newborns.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
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  16. Article
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  19. Sensory event-related potential morphology predicts age in premature infants.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2024
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  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

10 authors at 5 institutions in 4 countries.

Nathan J StevensonQIMR Berghofer Medical Research Institute, Brisbane, QLD, 4006, Australia.ORCID 0000-0002-5146-8450
Lisa OberdorferDepartment of Pediatrics, Division of Neonatology, Pediatric Intensive Care and Neuropediatrics, Medical University of Vienna, Vienna, Austria.
Maria-Luisa TatarannoDepartment of Neonatology, University Medical Center Utrecht, Utrecht, The Netherlands.
Michael BreakspearQIMR Berghofer Medical Research Institute, Brisbane, QLD, 4006, Australia.
Paul B ColditzCentre for Clinical Research, Faculty of Medicine, University of Queensland, Brisbane, QLD, 4029, Australia.
Linda S de VriesDepartment of Neonatology, University Medical Center Utrecht, Utrecht, The Netherlands.
Manon J N L BendersDepartment of Neonatology, University Medical Center Utrecht, Utrecht, The Netherlands.
Katrin Klebermass-SchrehofDepartment of Pediatrics, Division of Neonatology, Pediatric Intensive Care and Neuropediatrics, Medical University of Vienna, Vienna, Austria.
Sampsa VanhataloDepartment of Children's Clinical Neurophysiology, BABA Center, Pediatric Research Center, Children's Hospital, HUS Medical Imaging Center, Helsinki University Central Hospital, University of Helsinki, Finland.
James A RobertsQIMR Berghofer Medical Research Institute, Brisbane, QLD, 4006, Australia.
QIMR Berghofer Medical Research Institute · AUUtrecht University · NLMedical University of Vienna · ATThe University of Queensland · AUUniversity of Helsinki · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveA major challenge in the care of preterm infants is the early identification of compromised neurological development. While several measures are routinely used to track anatomical growth, there is a striking lack of reliable and objective tools for tracking maturation of early brain function; a cornerstone of lifelong neurological health. We present a cot-side method for measuring the functional maturity of the newborn brain based on routinely available neurological monitoring with electroencephalography (EEG).

methodsWe used a dataset of 177 EEG recordings from 65 preterm infants to train a multivariable prediction of functional brain age (FBA) from EEG. The FBA was validated on an independent set of 99 EEG recordings from 42 preterm infants. The difference between FBA and postmenstrual age (PMA) was evaluated as a predictor for neurodevelopmental outcome.

resultsThe FBA correlated strongly with the PMA of an infant, with a median prediction error of less than 1 week. Moreover, individual babies follow well-defined individual trajectories. The accuracy of the FBA applied to the validation set was statistically equivalent to the training set accuracy. In a subgroup of infants with repeated EEG recordings, a persistently negative predicted age difference was associated with poor neurodevelopmental outcome.

interpretationThe FBA enables the tracking of functional neurodevelopment in preterm infants. This establishes proof of principle for growth charts for brain function, a new tool to assist clinical management and identify infants who will benefit most from early intervention.

Indexed as

BrainChild DevelopmentDatasets as TopicElectroencephalographyFemaleGestational AgeGrowth ChartsHumansInfantInfant, Extremely PrematureInfant, NewbornInfant, PrematureMaleNeurophysiological MonitoringPoint-of-Care TestingProof of Concept Study

Identifiers

PMID32368863
PMCPMC7318094
OpenAlexW3020888272

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.