Functional connectivity during rest and task: A study based on graph theoretical metrics

In this study, task-related network organization were examined, and the association between network integration at rest and cognitive performance was investigated using n-back task. Global efficiency, local efficiency and modularity were computed at rest and during n-back task. Task-related metrics were compared with resting state metrics to understand the neural mechanism underlying working memory. Correlations between resting state metrics and performance in the n-back task were evaluated to investigate the optimal topology. The results revealed that performing n-back task required a reorganization of resting state network. Task-related topology showed higher global efficiency and modularity , and lower local efficiency compared to rest. Moreover, it was reported that the resting state topology was an indicator of cognitive performance. Performance in n-back task was positively correlated with global efficiency, local efficiency and modularity of resting state network..