Before revision: Unfolding how the brain functionally shifts within the cognitive space remains an unresolved question . From a brain connectivity perspective, there exist two main concepts: cognitive shifts and cognitive flexibility. Although the former is the proxy of the latter, the biggest challenge, in terms of bridging these two concepts, lies in the fact that cognitive shifts are governed by topological rules whereas cognitive flexibility is purely numerical. In this paper, we bridge the aforementioned concepts while preserving the complexity of cognition by proposing a formalism based on a 2D network morphospace that quantifies trapping and exit characteristics of network subsystems, naturally interpreted as functional communities.
After revision: An unresolved question in network neuroscience is the quantification of reconfiguration in functional networks in response to varying cognitive demands. We propose that a mesoscopic generalizable framework would be most apt to investigate the breadth of functional (re-)configurations. We propose a 2D network morphospace that quantifies trapping and exit characteristics of network subsystems, naturally interpreted as functional communities.