good accuracy. See Methods for the details of the detection of communities and rich-club members.[]{data-label="RC2"}](cat_map_rc_reduced.pdf "fig:"){width="\linewidth"}

#### Performance of the communities reconstruction.

To quantify the effectiveness of community reconstruction, we compute $PE= \frac{m}{N}$, where $N$ is the total number of nodes and $m$ is the number of nodes assigned to the wrong community. We compute $PE$ for different values for the coupling strength $\Delta \alpha$ between $0.05$ and $0.4$. For each value of $\alpha$, we considered 50 different simulations of the dynamics obtained by choosing different initial conditions. The figure shows the plot of the mean of $PE$ and a shaded region corresponding to the standard deviation. For $\Delta \alpha$ values larger than $0.4$, the reconstructing procedure cannot identify the communities correctly. This is due to the synchronization rich club which appears around this value.

[0.8]{} ![[**Prediction error for misidentification of communities in the reconstructed cat cerebral cortex from synthetic data.**]{} For each realisation, the chosen parameters are the same as in Figure \[RC2\] and only the overall coupling is changed. Mean and standard deviation of prediction error (PE) computed for the network over 50 realizations for each value of $\alpha$. If $\Delta \alpha > 0.42$, the system synchronizes and 