Central to the development of clinical applications of functional connectomics for neurology
and psychiatry is the discovery and validation of biomarkers. Resting state fMRI (R-fMRI) is
emerging as a mainstream approach for imaging-based biomarker identification, detecting
variations in the functional connectome that can be attributed to clinical variables (eg,
diagnostic status). Despite growing enthusiasm, many challenges remain. Here, we assess
evidence of the readiness of R-fMRI based functional connectomics to lead to clinically …

Network-based analysis of brain functional connections has provided a novel instrument to
study the human brain in healthy and diseased individuals. Graph theory provides a
powerful tool to describe quantitatively the topological organization of brain connectivity.
Using such a framework, the brain can be depicted as a set of nodes connected by edges.
Distinct modifications of brain network topology have been identified during development
and normal aging, whereas disrupted functional connectivity has been associated to several …