Novel metrics of functional network structure and their application to the detection and characterisation of Alzheimer’s disease

Metrics of network structure obtained using graph theory can provide valuable insights into the functioning and overall operation of neuronal networks in the brain. The objectives of this paper are to highlight the shortcomings of commonly used network structure metrics in the study of functional connectivity networks today and to propose a methodology for deriving more sensitive metrics which may be used to detect and characterize dementia and other disconnection syndromes.