Topological Analysis of Seizure-Induced Changes in Brain Hierarchy Through Effective Connectivity
基于有效连接的癫痫发作脑层级变化拓扑分析
Traditional Topological Data Analysis (TDA) methods, such as Persistent Homology (PH), rely on distance measures (e.g., cross-correlation, partial correlation, coherence, and partial coherence) that are symmetric by definition. While useful for studying topological patterns in functional brain connectivity, the main limitation of these methods is their inability to capture the directional dynamics - which is crucial for understanding effective brain connectivity. We propose…