Multi-Scale FC-Based Multi-Order GCN: A Novel Model for Predicting Individual Behavior From fMRI

• 主要な著者: Xuyun Wen (著者), Qumei Cao (著者), Bin Jing (著者), Daoqiang Zhang (著者)
• フォーマット: 図書
• 出版事項: IEEE, 2024-01-01T00:00:00Z.
• 主題: article
• オンライン･アクセス: Connect to this object online.

Predicting individual behavior from brain imaging data using machine learning is a rapidly growing field in neuroscience. Functional connectivity (FC), which captures interactions between different brain regions, contains valuable information about the organization of the brain and is considered a c...