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...
| Published in: | Journal of Autism & Developmental Disorders Vol. 53; no. 12; pp. 4830 - 4849 |
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| Main Authors: | , , , |
| Format: | equations & formulas research tables/charts Journal Article |
| Published: |
Springer Nature
Dec2023
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| Online Access: | View this record in EBSCOhost |