Fig. 6

Part A: Network of the MCI group. Nodes represent the variables used to calculate the network model; Lines between nodes are the edges: partial correlations between variables (thicker the edge, greater the correlation value); green edges: positive correlations; red edges: negative correlations; black-coloured edges: partial correlations between dichotomous and continuous variables. Predictability value was represented by a ring around each node. The blacker the ring, the more variance of the variable is explained by the other connected nodes. Part B: representation of the clusters identified through the walktrap algorithm. Black edges: intra-cluster connections; red edges: inter-cluster connections. The size of the nodes reflects the value of “Expected influence”. The bigger the higher