A Multichannel Deep Neural Network Model Analyzing Multiscale Functional Brain Connectome Data for Attention Deficit Hyperactivity Disorder Detection.

Ming Chen Hailong LiJinghua WangJonathan R Dillman Nehal A ParikhLili He

Published in: Radiology. Artificial intelligence (2019)

An mcDNN model was developed for multiscale brain functional connectome data, and its utility for ADHD detection was demonstrated. By fusing the multiscale brain connectome data, the mcDNN model improved ADHD detection performance considerably over the use of a single scale.© RSNA, 2019.

Keyphrases

attention deficit hyperactivity disorder
resting state
functional connectivity
autism spectrum disorder
neural network
electronic health record
white matter
working memory
loop mediated isothermal amplification
big data
real time pcr
label free
data analysis