Prediction of autism spectrum disorder diagnosis using nonlinear measures of language-related EEG at 6 and 12 months.

Fleming C PeckLaurel J Gabard-DurnamCarol L WilkinsonWilliam BoslHelen Tager-FlusbergCharles A Nelson

Published in: Journal of neurodevelopmental disorders (2021)

These results demonstrate that speech processing EEG measures can facilitate earlier identification of ASD but emphasize the need for age-specific predictive models with large sample sizes to develop clinically relevant classification algorithms.

Keyphrases

autism spectrum disorder
machine learning
functional connectivity
deep learning
resting state
attention deficit hyperactivity disorder
intellectual disability
working memory
bioinformatics analysis