A Signal-Processing-Based Approach to Time-Varying Graph
Analysis for Dynamic Brain Network Identification
Figure 2
For each event interval, a key graph is obtained using the framework described in Section 3. We compared the extracted key graphs with the ones obtained from the surrogate time-varying graphs and identified the interactions which are significant. Using each key graph, the interactions which are found to be significant at two different levels, and , are represented in blue and red colors, respectively.
