Measuring Information Transfer Between Nodes in a Brain Network through Spectral Transfer Entropy
通过谱转移熵测量脑网络节点间的信息传递
Brain connectivity characterizes interactions between different regions of a brain network during resting-state or performance of a cognitive task. In studying brain signals such as electroencephalograms (EEG), one formal approach to investigating connectivity is through an information-theoretic causal measure called transfer entropy (TE). To enhance the functionality of TE in brain signal analysis, we propose a novel methodology that captures cross-channel information…