  Graph theory has been extensively used to investigate brain network topology
and its changes in disease cohorts. However, many graph theoretic
analysis-based brain network studies focused on the shortest paths or, more
generally, cost-efficiency. In this work, we use two new concepts,
connectedness and 2-connectedness, to measure different global properties
compared to the previously widely adopted ones.
