Sensory event-related potential morphology predicts age in premature infants.
Clin Neurophysiol
; 157: 61-72, 2024 01.
Article
em En
| MEDLINE
| ID: mdl-38064929
ABSTRACT
OBJECTIVE:
We investigated whether sensory-evoked cortical potentials could be used to estimate the age of an infant. Such a model could be used to identify infants who deviate from normal neurodevelopment.METHODS:
Infants aged between 28- and 40-weeks post-menstrual age (PMA) (166 recording sessions in 96 infants) received trains of visual and tactile stimuli. Neurodynamic response functions for each stimulus were derived using principal component analysis and a machine learning model trained and validated to predict infant age.RESULTS:
PMA could be predicted accurately from the magnitude of the evoked responses (training set mean absolute error and 95% confidence intervals 1.41 [1.14; 1.74] weeks,p = 0.0001; test set mean absolute error 1.55 [1.21; 1.95] weeks,p = 0.0002). Moreover, we show that their predicted age (their brain age) is correlated with a measure known to relate to maturity of the nervous system and is linked to long-term neurodevelopment.CONCLUSIONS:
Sensory-evoked potentials are predictive of age in premature infants and brain age deviations are related to biologically and clinically meaningful individual differences in nervous system maturation.SIGNIFICANCE:
This model could be used to detect abnormal development of infants' response to sensory stimuli in their environment and may be predictive of neurodevelopmental outcome.Palavras-chave
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Recém-Nascido Prematuro
/
Potenciais Evocados
Limite:
Humans
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Infant
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Newborn
Idioma:
En
Ano de publicação:
2024
Tipo de documento:
Article