A Fusion-Based Machine Learning Approach for Autism Detection in Young Children Using Magnetoencephalography Signals.
In this study, we aimed to find biomarkers of autism in young children. We recorded magnetoencephalography (MEG) in thirty children (4–7 years) with autism and thirty age, gender-matched controls while they were watching cartoons. We focused on characterizing neural oscillations by amplitude (power...
| Publicado en: | Journal of Autism & Developmental Disorders Vol. 53; no. 12; pp. 4830 - 4849 |
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| Autores principales: | , , , |
| Formato: | equations & formulas research tables/charts Journal Article |
| Publicado: |
Springer Nature
Dec2023
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| Acceso en línea: | Ver este registro en EBSCOhost |