Using a neural network to derive early childhood neurodevelopmental profiles in the New Hampshire Birth Cohort Study.

ABSTRACT:

Background

Child-centred approaches represent a conceptual framework that emphasises the holistic characterisation of individual developmental patterns across cognitive, behavioural and social domains. As a complementary analytic tool, self-organising maps (SOMs), an artificial neural network, offer flexible, data-driven clustering capabilities that are well-suited to modeling complex, multidimensional and longitudinal developmental data. Despite their potential, few studies have applied such methods to profile early neurodevelopment, especially in rural populations.

Methods

We applied SOM to longitudinal neurobehavioural data (n=235) from healthy participant children from 3 to 5 years of age in the New Hampshire Birth Cohort Study, a rural pregnancy cohort. Group profiles r

SUBMITTER: Bauer JA 

PROVIDER: S-EPMC12352209 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature