Prediction in Autism by Deep Learning Short-Time Spontaneous Hemodynamic Fluctuations

Prediction in Autism by Deep Learning Short-Time Spontaneous Hemodynamic Fluctuations

This study aims to explore the possibility of using a multilayer artificial neural network for the classification between children with autism spectrum disorder (ASD) and typically developing (TD) children based on short-time spontaneous hemodynamic fluctuations. Spontaneous hemodynamic fluctuations...

Full description

Bibliographic Details
Main Authors: Lingyu Xu, Xiulin Geng, Xiaoyu He, Jun Li, Jie Yu
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-11-01
Series:Frontiers in Neuroscience
Subjects:
ASD
fNIRS
neural network
time series
CGRNN model
Online Access:https://www.frontiersin.org/article/10.3389/fnins.2019.01120/full

Internet

https://www.frontiersin.org/article/10.3389/fnins.2019.01120/full

Similar Items