The brain's default mode network (DMN) has attracted tremendous attention, but its topology still lacks a substantial and operative definition. At the same time, recent efforts based on coactivation analysis suggest significant involvement of concomitant activation as an origin of synchronous activity, which is the basis of the network detection. Therefore, to establish the biological significance of the intrinsic remote connectivity, understanding such co-occurrence networks may be crucial. This study shows the results of monitoring the network's signal variation during random transitions among two divergent tasks and rest epochs. The subset of the DMN nodes showed three distinct activity levels; it was simultaneously characterized by the lack of a transition response between blocks. Additional connectivity analysis revealed components covering the other DMN nodes showing overshooting in response to a transition that were still connected to the posterior cingulate cortices (PCC), but by different signal components. The overall finding of multiple connectivity modes in the DMN provides a relevant explanation about the two seemingly contradictory characteristics of the network, robustness and variation.