Contrastive graph pooling for explainable classification of brain networks

• Main Authors: Xu, Jiaxing, Bian, Qingtian, Li, Xinhang, Zhang, Aihu, Ke, Yiping, Qiao, Miao, Zhang, Wei, Sim, Jeremy Wei Khang, Gulyás, Balázs
• Other Authors: College of Computing and Data Science
• Format: Article
• Language: English
• Published: 2024
• Subjects: Computer and Information Science; Brain network; Deep learning for neuroimaging; fMRI biomarker; Graph classification; Graph neural network
• Online Access: https://hdl.handle.net/10356/180545
• Institution: Nanyang Technological University

Functional magnetic resonance imaging (fMRI) is a commonly used technique to measure neural activation. Its application has been particularly important in identifying underlying neurodegenerative conditions such as Parkinson's, Alzheimer's, and Autism. Recent analysis of fMRI data models t...