Topology-Guided Graph Masked Autoencoder Learning for Population-Based Neurodevelopmental Disorder Diagnosis

Exploring the pathogenic mechanisms of brain disorders within population is an important research in the field of neuroscience. Existing methods either combine clinical information to assist analysis or use data augmentation for sample expansion, ignoring the mining of individual information and the...

Full description

Saved in:

Bibliographic Details
Published in:	IEEE transactions on neural systems and rehabilitation engineering Vol. 33; pp. 1550 - 1561
Main Authors:	Li, Yueying, Zhang, Xiaotong, Guan, Shihan, Ma, Guolin, Kong, Youyong
Format:	Journal Article
Language:	English
Published:	United States IEEE 01.01.2025
Subjects:	Adolescent Algorithms Attention Deficit Disorder with Hyperactivity - diagnosis Autism Spectrum Disorder - diagnosis Autoencoder Autoencoders Brain modeling Brain network Child Data models Decoding Diseases Electroencephalography Female functional connectivity Functional magnetic resonance imaging graph convolutional network Humans Image edge detection Image reconstruction Imaging Machine Learning Male Medical diagnosis Neural Networks, Computer neurodevelopmental disorder diagnosis Neurodevelopmental Disorders - diagnosis population diseases diagnosis
ISSN:	1534-4320, 1558-0210, 1558-0210
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!