Pattern Discovery of ADHD Disorder Using Graph Theory on Task-Free fMRI Data

Study of neural correlates of ADHD could potentially help us to develop an automated diagnosis system. In 2011, a rich and heterogeneous neuroimaging dataset was provided by the ADHD-200 consortium to be used for this purpose. Considering the fact that the brain functional connectome in ADHD subjects is altered compared to healthy controls; we hypothesized that local and global parameters of functional connectome extracted using graph theory from task free fMRI data could give us a good tool to identify ADHD subjects from healthy controls. Keywords— Attention deficit hyperactivity disorder; Task free fMRI; Functional connectivity; Graph theory; Classification