Subtyping cognitive profiles in Autism Spectrum Disorder using a Functional Random Forest algorithm

DSM-5 Autism Spectrum Disorder (ASD) comprises a set of neurodevelopmental disorders characterized by deficits in social communication and interaction and repetitive behaviors or restricted interests, and may both affect and be affected by multiple cognitive mechanisms. This study attempts to identi...

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Bibliographic Details

Published in:	NeuroImage (Orlando, Fla.) Fla.), 2018-05, Vol.172, p.674-688
Main Authors:	Feczko, E., Balba, N.M., Miranda-Dominguez, O., Cordova, M., Karalunas, S.L., Irwin, L., Demeter, D.V., Hill, A.P., Langhorst, B.H., Grieser Painter, J., Van Santen, J., Fombonne, E.J., Nigg, J.T., Fair, D.A.
Format:	Article
Language:	eng
Subjects:	Adolescent Autism Autism Spectrum Disorder - classification Autism Spectrum Disorder - diagnosis Autism Spectrum Disorder - physiopathology Bias Brain - physiopathology Child Children Cognitive ability Connectome - methods Female Functional connectivity Humans Information processing Learning algorithms Machine Learning Magnetic resonance imaging Magnetic Resonance Imaging - methods Male Memory MRI Neural networks Neurodevelopmental disorders Neuroimaging Random forests Studies Supervised learning
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