Directed Network Defects in Alzheimer's Disease Using Granger Causality and Graph Theory

Abstract

Background: Few works studied the directed whole-brain interaction between different brain regions of Alzheimer’s disease (AD). Here, we investigated the whole-brain effective connectivity and studied the graph metrics associated with AD. Method: Large-scale Granger causality analysis was conducted to explore abnormal whole-brain effective connectivity of patients with AD. Moreover, graph-theoretical metrics including smallworldness, assortativity, and hierarchy, were computed from the effective connectivity network. Statistical analysis identified the aberrant network properties of AD subjects when compared against healthy controls. Results: Decreased small-worldness, and increased characteristic path length, disassortativity, and hierarchy were found in AD subjects. Conclusion: This work sheds insight into the underlying neuropathological mechanism of the brain network of AD individuals such as less efficient information transmission and reduced resilience to a random or targeted attack.