Electroencephalography estimates brain age in infants with high precision: Leveraging advanced machine learning in healthcare

Electroencephalography estimates brain age in infants with high precision: Leveraging advanced machine learning in healthcare

Changes in the pace of neurodevelopment are key indicators of atypical maturation during early life. Unfortunately, reliable prognostic tools rely on assessments of cognitive and behavioral skills that develop towards the second year of life and after. Early assessment of brain maturation using elec...

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Bibliographic Details
Main Authors: Saeideh Davoudi, Gabriela Lopez Arango, Florence Deguire, Inga Sophie Knoth, Fanny Thebault-Dagher, Rebecca Reh, Laurel Trainor, Janet Werker, Sarah Lippé
Format: Article
Language:English
Published: Elsevier 2025-05-01
Series:NeuroImage
Subjects:
Biological age
Brain age gap
Neurodevelopment
Resting-state electroencephalography
Machine learning
Online Access:http://www.sciencedirect.com/science/article/pii/S1053811925002034
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http://www.sciencedirect.com/science/article/pii/S1053811925002034

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