Our results in Figure 5 and Figure 6 show the transition from middle-aged to older age in the configuration of brain network topology in a resting state, which is in line with the previous literature [6,62]. In healthy aging and an eyes-closed state, the global and lobal efficiency and clustering coefficient decreased with increasing age, in accordance with our study results (Figure 6) [6]. Our study shows that significant differences in occipital networks in older adults corroborate previous findings in a healthy aging, resting state network [18]. Working memory is considered to be dependent on a functional brain network to communicate efficiently and maintain a degree of modularity, and it can be disrupted by aging [63]. Additionally, our work shows a reduction in local and global efficiencies in a WM task, which is consistent with previous findings [64]. The age-related task induced changes, including a reduced clustering coefficient and network efficiency, in the elderly subjects, aligning our results with previous studies on performing a visual WM task [43]. Cognitive decline has been associated with structural and functional reorganization, with aging
