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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...

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Detalles Bibliográficos
Autores principales: Barik, Kasturi, Watanabe, Katsumi, Bhattacharya, Joydeep, Saha, Goutam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10627976/
https://www.ncbi.nlm.nih.gov/pubmed/36192669
http://dx.doi.org/10.1007/s10803-022-05767-w