## 3 Results
### Evoked Activity  
#### 3.2.1 Local Node Silencing and PCI  
We performed an extensive investigation of the responses to different stimuli for different node silencing within the connectome (12 stimuli \(\times\) 20 manipulations). The impact of local node silencing on stimulus-evoked spatiotemporal activity was quantified by the Perturbational Complexity Index (PCI). All manipulations caused a decrease of PCI with respect to the control condition (PCI\({}_{\text{\Delta}}\)) across stimuli (for each local manipulation \(p\) < 0.01, one sample \(t\)-test with Bonferroni-Holm correction; Figure 3a), albeit with a great variability depending on the specific stimulus-silencing pair (individual PCI values and statistical comparisons with respect to the control condition are reported in Figure S2). In this respect, the responses of the model to stimulation of the right inferior parietal cortex (rPCI) for the control and two highly segregated local manipulations (L4 and L17, see Table 2 for a description of the manipulated nodes) serve as an illustrative example of such variability. Specifically, the spatiotemporal distribution of the significant activities (see Methods) elicited by the stimulation pulse in the control and in the two representative manipulations displayed marked differences (Figure 3b). In particular, compared to the control condition, in the case of L4 silencing, the response was sustained in time but spatially redundant (i.e., the significant activities often involved the same areas), and it did not involve the non-stimulated hemisphere as confirmed by the <\(\Delta\)IFR> temporal profile (Figure 3c top panel). On the other hand, in the case L17 silencing, significant evoked activity extended to the non-stimulated hemisphere (Figure 3c top panel) but was short-lived. The richness of the significant spatial-temporal patterns evoked by a stimulus can also be described by the SS matrices (see Methods, Figure 3c bottom panels). Compared to the control condition, the SS matrix of both L4 and L17 were either restricted in space (i.e., evoked activity remained more local, as in L4) or in time (i.e., the significant evoked activity decayed rapidly, as in L17). Interestingly, in L4, the significant activity described by the source entropy (Hsrc) was comparable to the control (0.79 \(\pm\) 0.03 and 0.79 \(\pm\) 0.02, respectively), but the evoked activity was more redundant in time (compare Figure 3a), confirming the dissociations between PCI and Hsrc (Supplementary Results, Section S2, Figure S3) also found in empirical studies [17]. Consistent with these observations, we found a significant reduction of PCI (\(p\) < 0.00001, ANOVA and post hoc pairwise T \(t\)-test with Benjamini-Hochberg correction) for both L4 and L17 (Figure S2, grey arrows. Control: 0.49 \(\pm\) 0.03; L4: 0.25 \(\pm\) 0.01; L17: 0.37 \(\pm\) 0.04). Furthermore, to corroborate our results, we performed a similar analysis with the more detailed connectome, Hconn (Figure S4A,B). Again, we found a significant reduction of PCI (Figure S4C) in all manipulation conditions (for each \(p\) < 0.00001, ANOVA and post hoc pairwise T \(t\)-test with Benjamini-Hochberg correction). The higher reduction of PCIwith Hconn compared to Dconn is likely due to a larger impact of node silencing on the local connectivity (i.e., areas surrounding the manipulation) as well as on the long-range connections reducing the communication between areas that are far apart. Figure 3: **Impact of local manipulations on evoked activity. ** (**a**) Each box, corresponding to a local manipulation (ordered according to the ranking in Figure 2), displays the difference in PCI compared to the control (PCI\({}_{\Delta}\)) for a given stimulation site (12 values per box, e.g., stimulation of rPCI: PCI\({}_{\Delta}\) (local manipulation) = <PCI\({}_{\text{local manipulation}}\)> - <PCI\({}_{\text{ctrl}}\)>, where <..> indicates mean across resamples). For each local manipulation, \(p\) < 0.01 (one sample \(t\)-test against mean zero with Bonferroni–Holm correction).