A Hierarchical Graph Learning Model for Brain Network Regression Analysis

A Hierarchical Graph Learning Model for Brain Network Regression Analysis

Brain networks have attracted increasing attention due to the potential to better characterize brain dynamics and abnormalities in neurological and psychiatric conditions. Recent years have witnessed enormous successes in deep learning. Many AI algorithms, especially graph learning methods, have bee...

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Bibliographic Details
Main Authors: Haoteng Tang, Lei Guo, Xiyao Fu, Benjamin Qu, Olusola Ajilore, Yalin Wang, Paul M. Thompson, Heng Huang, Alex D. Leow, Liang Zhan
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-07-01
Series:Frontiers in Neuroscience
Subjects:
multimodal brain networks
human connectome project
graph learning
interpretable AI
adult self-report score
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2022.963082/full

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https://www.frontiersin.org/articles/10.3389/fnins.2022.963082/full

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