title: AGREEMENT BETWEEN THE WHITE MATTER CONNECTIVITY BASED ON THE TENSOR-BASED MORPHOMETRY AND THE VOLUMETRIC WHITE MATTER PARCELLATIONS BASED ON DIFFUSION TENSOR IMAGING.
abstract: We are interested in investigating white matter connectivity using a novel computational framework that does not use diffusion tensor imaging (DTI) but only uses T1-weighted magnetic resonance imaging. The proposed method relies on correlating Jacobian determinants across different voxels based on the tensor-based morphometry (TBM) framework. In this paper, we show agreement between the TBM-based white matter connectivity and the DTI-based white matter atlas. As an application, altered white matter connectivity in a clinical population is determined.
authors.affiliation: Department of Brain and Cognitive Sciences, Seoul National University, Korea.
authors.forename: Seung-Goo
authors.initials: SG
authors.lastname: Kim
authors.forename: Hyekyoung
authors.initials: H
authors.lastname: Lee
authors.forename: Moo K
authors.initials: MK
authors.lastname: Chung
authors.forename: Jamie L
authors.initials: JL
authors.lastname: Hanson
authors.forename: Brian B
authors.initials: BB
authors.lastname: Avants
authors.forename: James C
authors.initials: JC
authors.lastname: Gee
authors.forename: Richard J
authors.initials: RJ
authors.lastname: Davidson
authors.forename: Seth D
authors.initials: SD
authors.lastname: Pollak
keywords: brain network; structural connectivity; tensor-based morphometry; white matter atlas