ABSTRACT
DTI offers a unique opportunity to characterize the structural connectivity of the human brain non-invasively by tracing white matter fiber tracts. Whole brain tractography studies routinely generate up to half a million tracts per brain, which serve as edges in an extremely large 3D graph with up to half a million edges. Currently there is no agreed-upon method for constructing the brain structural network graphs out of a large number of white matter tracts. In this paper, we present a scalable iterative framework called the - neighbor method for building a network graph and apply it to testing abnormal connectivity in autism. This chapter is based on [66].
