The human brain is made up of different parts that work in concert to carry out complex human thought, behavior and emotion. At the macroscale level of brain regions, functional MRI can track blood-oxygenation dependent signals that are tightly coupled to neuronal activity, which flows along the brain’s white matter, or ”wiring”, that makes up the structural connectome. It is not well known how different parts of the brain communicate, or send functional activation signals, to one another using the structural connectivity network. Questions remain if regions communicate using information about the global topology of the brain’s structural connectome, or if regions only have access to local neighborhood’s connectivity information. Utilizing data from the Human Connectome Project Young Adult (HCP-YA) dataset, we explore these regional communication preferences based on biased (more global) and unbiased (more local) communication policies. We assess the reliability of these estimated regional communication strategies and use individuals’ regional communication preferences to predict age, sex and total cognition scores. We found that lower order regions (somatomotor, auditory, and cerebellum) had more local communication preferences, while higher order regions (medial and lateral prefrontal cortex) had preference for more global communication strategies, as found previously. We also found that the regional preference values are largely reliable (within the limits of variation) and that age, sex and cognition could somewhat be predicted from regional communication strategies. Overall, this work suggests that individual variability in the communication strategies between brain regions is reliable over time and could be related to demographics and behavior.