title: Scalable Brain Network Construction on White Matter Fibers.
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 million tracts per brain, which serves as edges in an extremely large 3D graph with up to half million edges. Currently there is no agreed-upon method for constructing the brain structural network graphs out of large number of white matter tracts. In this paper, we present a scalable iterative framework called the ε-neighbor method for building a network graph and apply it to testing abnormal connectivity in autism.
authors.affiliation: Department of Biostatistics and Medical Informatics ; Waisman Laboratory for Brain Imaging and Behavior ; Department of Brain and Cognitive Sciences, Seoul National University, Korea.
authors.forename: Moo K
authors.initials: MK
authors.lastname: Chung
authors.affiliation: Waisman Laboratory for Brain Imaging and Behavior.
authors.forename: Nagesh
authors.initials: N
authors.lastname: Adluru
authors.affiliation: Waisman Laboratory for Brain Imaging and Behavior.
authors.forename: Kim M
authors.initials: KM
authors.lastname: Dalton
authors.affiliation: Department of Medical Physics ; Waisman Laboratory for Brain Imaging and Behavior ; Department of Psychiatry, University of Wisconsin, Madison.
authors.forename: Andrew L
authors.initials: AL
authors.lastname: Alexander
authors.affiliation: Waisman Laboratory for Brain Imaging and Behavior ; Department of Psychology ; Department of Psychiatry, University of Wisconsin, Madison.
authors.forename: Richard J
authors.initials: RJ
authors.lastname: Davidson