Large-Scale Brain Functional Network Integration for Discrimination of Autism Using a 3-D Deep Learning Model

Large-Scale Brain Functional Network Integration for Discrimination of Autism Using a 3-D Deep Learning Model

GoalBrain functional networks (BFNs) constructed using resting-state functional magnetic resonance imaging (fMRI) have proven to be an effective way to understand aberrant functional connectivity in autism spectrum disorder (ASD) patients. It is still challenging to utilize these features as potenti...

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Bibliographic Details
Main Authors: Ming Yang, Menglin Cao, Yuhao Chen, Yanni Chen, Geng Fan, Chenxi Li, Jue Wang, Tian Liu
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-06-01
Series:Frontiers in Human Neuroscience
Subjects:
autism spectrum disorder
functional MRI
convolutional neural network
brain functional network
classification
Online Access:https://www.frontiersin.org/articles/10.3389/fnhum.2021.687288/full

Internet

https://www.frontiersin.org/articles/10.3389/fnhum.2021.687288/full

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