A growth chart of brain function from infancy to adolescence based on EEG.
EBioMedicine
; 102: 105061, 2024 Apr.
Article
em En
| MEDLINE
| ID: mdl-38537603
ABSTRACT
BACKGROUND:
In children, objective, quantitative tools that determine functional neurodevelopment are scarce and rarely scalable for clinical use. Direct recordings of cortical activity using routinely acquired electroencephalography (EEG) offer reliable measures of brain function.METHODS:
We developed and validated a measure of functional brain age (FBA) using a residual neural network-based interpretation of the paediatric EEG. In this cross-sectional study, we included 1056 children with typical development ranging in age from 1 month to 18 years. We analysed a 10- to 15-min segment of 18-channel EEG recorded during light sleep (N1 and N2 states).FINDINGS:
The FBA had a weighted mean absolute error (wMAE) of 0.85 years (95% CI 0.69-1.02; n = 1056). A two-channel version of the FBA had a wMAE of 1.51 years (95% CI 1.30-1.73; n = 1056) and was validated on an independent set of EEG recordings (wMAE = 2.27 years, 95% CI 1.90-2.65; n = 723). Group-level maturational delays were also detected in a small cohort of children with Trisomy 21 (Cohen's d = 0.36, p = 0.028).INTERPRETATION:
A FBA, based on EEG, is an accurate, practical and scalable automated tool to track brain function maturation throughout childhood with accuracy comparable to widely used physical growth charts.FUNDING:
This research was supported by the National Health and Medical Research Council, Australia, Helsinki University Diagnostic Center Research Funds, Finnish Academy, Finnish Paediatric Foundation, and Sigrid Juselius Foundation.Palavras-chave
Texto completo:
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Base de dados:
MEDLINE
Assunto principal:
Encéfalo
/
Gráficos de Crescimento
Limite:
Adolescent
/
Child
/
Humans
Idioma:
En
Revista:
EBioMedicine
Ano de publicação:
2024
Tipo de documento:
Article