Fig. 5: Relative integration coefficient.
From: Leveraging multivariate information for community detection in functional brain networks
A Histogram of relative integration coefficient computed for each node. The area where RIC is greater than 1, denoting nodes with high topological specialization, has been highlighted in green, whereas the area containing 10% of the lowest RIC values, denoting nodes with low topological specialization, has been colored in pink. B Count of nodes with high and low topological specialization within the canonical systems. C Trend of TCN − TCN−i versus TCM − TCM−i. These two measures are highly correlated, as a node contributing to its module’s redundancy also inherently contributes to the network’s redundancy. Nodes with high and low topological specialization are color-coded according to their canonical system, with their contour indicating their functional role. D Projection on the cortex of the nodes with high (green) and low (pink) topological specialization in the centroid partition with 7 modules. E, F Projection on the cortex of the frequency with which nodes have resulted with high or low topological specialization among the 100 partitions with 7 modules (C) and the centroids partitions across spatial scales (D). The intensity of the color is proportional to that frequency.
