Diagnosing Autism Spectrum Disorder from Brain Resting-State Functional Connectivity Patterns Using a Deep Neural Network with a Novel Feature Selection Method

The whole-brain functional connectivity (FC) pattern obtained from resting-state functional magnetic resonance imaging data are commonly applied to study neuropsychiatric conditions such as autism spectrum disorder (ASD) by using different machine learning models. Recent studies indicate that both h...

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Detalles Bibliográficos
Autores principales: Guo, Xinyu, Dominick, Kelli C., Minai, Ali A., Li, Hailong, Erickson, Craig A., Lu, Long J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2017
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5566619/
https://www.ncbi.nlm.nih.gov/pubmed/28871217
http://dx.doi.org/10.3389/fnins.2017.00460

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5566619/
https://www.ncbi.nlm.nih.gov/pubmed/28871217
http://dx.doi.org/10.3389/fnins.2017.00460

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