Bayesian Time-Varying Tensor Vector Autoregressive Models for Dynamic Effective Connectivity
用于动态有效连接的贝叶斯时变张量向量自回归模型
In contemporary neuroscience, a key area of interest is dynamic effective connectivity, which is crucial for understanding the dynamic interactions and causal relationships between different brain regions. Dynamic effective connectivity can provide insights into how brain network interactions are altered in neurological disorders such as dyslexia. Time-varying vector autoregressive (TV-VAR) models have been employed to draw inferences for this purpose. However, their…