(A) Visualization of power time-series projection to source space (left column). Sensor level signals are projected using a standard MNI model and realistic positions of the electrodes (middle column). The |$xyz$| coordinates of the 3D grid correspond to values in the axial, sagittal, and coronal planes, respectively. The resulting matrix has power values in MNI space (right column), where we display changes relative to mean power, here expressed in arbitrary units (a.u.). (B) Matrix of power time-series in left STG (49 voxels |$\times $| 50 time points). (1) Visualization of the community detection process: Pearson correlation of the time-series (49|$\times $|49 matrix), the three communities detected and the corresponding 49 voxels in STG showing the functional parcellation (the voxels of the right STG are also highlighted in black color for visualization purposes). (2) Graphical representation of the normalized LZ complexity computation: binary matrix obtained by thresholding the signals with 1 SD and the evolution in time of the LZ measure in time, normalized by its entropy at each time instant.