Effective graph kernels for evolving functional brain networks

• Main Authors: WANG, Xinlei, CHEN, Jinyi, DAI, Bing Tian, XIN, Junchang, GU, Yu, YU, Ge
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2023
• Subjects: Alzheimers disease; Brain activity; Brain networks; Disease diagnosis; Dynamic changes; Evolving brain network; Global matching; Graph kernels; Kernel-methods; Local matching; Databases and Information Systems; Graphics and Human Computer Interfaces
• Online Access: https://ink.library.smu.edu.sg/sis_research/8609; https://ink.library.smu.edu.sg/context/sis_research/article/9612/viewcontent/Effective_graph_kernels_for_evolving_functional_brain_networks.pdf
• Institution: Singapore Management University

The graph kernel of the functional brain network is an effective method in the field of neuropsychiatric disease diagnosis like Alzheimer's Disease (AD). The traditional static brain networks cannot reflect dynamic changes of brain activities, but evolving brain networks, which are a series of...