Mahalanobis distances between simulated and real resting state data based on PLV matrices in the gamma band.

<p>Mahalanobis distances between simulated and real resting state data based on PLV matrices in the gamma band.</p

Influence of the global anatomical connectivity strength on the model’s dynamics.

<p>(A) Average order parameter across the 90 ROIs. Influence of the global anatomical connectivity strength at the ROIs level. Results are averaged across 18 simulations with C_inter = 0. Areas stand for the standard error. Blue: real connectivity. Green: identic shuffled connectivity for the two virtual brains in same dyads. Red: different shuffled connectivity for all virtual brains. (B) Average PLV in the gamma band between all the ROIs inside each virtual brain. (C) Example of simulated EEG signals. (D) Power spectrum for each EEG signals of C.</p

Procedure Flowchart illustrating the different steps of the simulations and their comparisons with the real EEG data.

<p>Procedure Flowchart illustrating the different steps of the simulations and their comparisons with the real EEG data.</p

Example of simulation with variation of the C_intra control parameter over time.

<p>(A) Timecourses of all ROIs instantaneous frequency. (B) Related timecourse of the C_intra parameter.</p

Real and simulated functional data.

<p>PLV matrices for real (A) and simulated (B) data and related histogram (C). h-PLV matrix for real (D) and simulated (E) data and related histogram (F). PLV and h-PLV are computed for the gamma band and averaged across either the 9 pairs of real subjects during resting state condition or 9 pairs of simulated subjects with C_intra = 0.49 and C_inter = 0. It can be seen from this example that PLV and h-PLV exhibit different distributions. Notice that the difference of the dynamics between the partners gives an asymmetry in the h-PLV matrix.</p

Experimental and simulation setups.

<p>(A) Apparatus and experimental setting of the double video system and dual-EEG recording <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0036414#pone.0036414-Dumas1" target="_blank">[27]</a>. (B) Right and Top views of the pair of virtual brains. Each weighted network represents the 90 brain regions and their average anatomical connectivity. Arrows indicate the directed coupling from the motor to visual.</p

Influence of the anatomical connectivity on inter-brain synchronization.

<p>(A) Average response of the artificial sensorimotor coupling strength on h-PLV across the best fitting area (C_intra between 0.5 and 0.6). (B) Effect of the anatomical topology and similarity on the normalized h-PLV for C_inter = 0.01. Each point is computed for a normalized linear combination of the three cases: same real anatomy, same shuffled version and different shuffled versions.</p

Influence of the global anatomical connectivity strength on intra-brain synchronization.

<p>Average PLV across all pairs of electrodes inside each simulated subject helmet for the gamma (A) and alpha (B) frequency bands. The decrease of PLV after C_intra = 0.7 for the alpha band seems caused by fluctuations of the mean low-frequency rhythm peak at strong anatomical coupling.</p

Summary of relevant intersubject synchronizations for all dyads according to interactional synchrony.

<p>cPLV values indicate the averaged PLVs on all pairs of electrodes members of clusters shown in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0012166#pone-0012166-g002" target="_blank">Figure 2</a>. Averages cPLV across dyads are shown in black dashed lines.</p

Averaged intersubject clustered PLV (cPLV) difference between synchronous and non-synchronous interactions (Sync - NSync) compared for experimental and surrogate behavioral analysis.

<p>Bars represent standard errors.</p