Evidence map›Paper›PMID 39721149›Full record

ArticleDevelopmental cognitive neuroscience2025

EEG-based brain age prediction in infants-toddlers: Implications for early detection of neurodevelopmental disorders.

Winko W An, Aprotim C Bhowmik, Charles A Nelson, Carol L Wilkinson

Abstract read
In one paragraph

Article in Developmental cognitive neuroscience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
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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

4 authors.

Winko W AnDevelopmental Medicine, Boston Children's Hospital, 300 Longwood Avenue, Boston, 02115, MA, USA; Harvard Medical School, 25 Shattuck St, Boston, 02115, MA, USA.
Aprotim C BhowmikDonald and Barbara Zucker School of Medicine at Hofstra/Northwell, 500 Hofstra Blvd, Hempstead, 11549, NY, USA; Johns Hopkins Bloomberg School of Public Health, 615 N Wolfe St, Baltimore, 21205, MD, USA.
Charles A NelsonDevelopmental Medicine, Boston Children's Hospital, 300 Longwood Avenue, Boston, 02115, MA, USA; Harvard Medical School, 25 Shattuck St, Boston, 02115, MA, USA; Harvard Graduate School of Education, 13 Appian Way, Cambridge, 02138, MA, USA.
Carol L WilkinsonDevelopmental Medicine, Boston Children's Hospital, 300 Longwood Avenue, Boston, 02115, MA, USA; Harvard Medical School, 25 Shattuck St, Boston, 02115, MA, USA. Electronic address: carol.wilkinson@childrens.harvard.edu.

Funding

The Development of Face ProcessingR01MH078829 · NIMH · BOSTON CHILDREN'S HOSPITAL · PI Michelle A Bosquet Enlow · 2006 to 2026
$14.8M
Genetic Analysis and Manipulation Core (GAEC)P50HD105351 · NICHD · BOSTON CHILDREN'S HOSPITAL · PI Hisashi Umemori · 2021 to 2026
$9.4M
Neurobehavioral Research on Infants at Risk for SLI and AutismR01DC010290 · NIDCD · BOSTON UNIVERSITY MEDICAL CAMPUS · PI NELSON, CHARLES ALEXANDER, TAGER-FLUSBERG, HELEN · 2009 to 2020
$7.5M
Translational Post-doctoral Training in NeurodevelopmentT32MH112510 · NIMH · BOSTON CHILDREN'S HOSPITAL · PI DAVID C GLAHN, CHARLES Alexander NELSON · 2017 to 2026
$2.6M
Neural Markers of Language Development in Fragile X Syndrome and Autism Spectrum DisorderK23DC017983 · NIDCD · BOSTON CHILDREN'S HOSPITAL · PI WILKINSON, CAROL LEE · 2020 to 2024
$859k
Molecular mechanisms of aging in the intrinsic laryngeal musclesR03DC007983 · NIDCD · UNIVERSITY OF KENTUCKY · PI MCMULLEN, COLLEEN A · 2006 to 2009
$249k
NICHD NIH HHS P50 HD105351NIDCD NIH HHS K23 DC017983NIDCD NIH HHS R01 DC010290NIDCD NIH HHS R03 DC007983NIMH NIH HHS R01 MH078829NIMH NIH HHS T32 MH112510
6 · The paper itself

Abstract

The infant brain undergoes rapid developmental changes in the first three years of life. Understanding these changes through the prediction of chronological age using neuroimaging can provide insights into typical and atypical brain development. We utilized 938 resting-state EEG recordings from 457 typically developing infants, 2 to 38 months old, to develop age prediction models. The multilayer perceptron model demonstrated the highest accuracy with an R

Indexed as

BrainChild DevelopmentElectroencephalographyNeurodevelopmental DisordersChild, PreschoolDown SyndromeEarly DiagnosisFemaleHumansInfantMaleAutismBrain ageDown syndromeEEGNeurodevelopment

Identifiers

PMID39721149
PMCPMC11732522

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.