STRUCTURAL CONNECTIVITY VIA THE TENSOR-BASED MORPHOMETRY

Proc IEEE Int Symp Biomed Imaging. 2011:10.1109/ISBI.2011.5872528. doi: 10.1109/ISBI.2011.5872528.

Abstract

The tensor-based morphometry (TBM) has been widely used in characterizing tissue volume difference between populations at voxel level. We present a novel computational framework for investigating the white matter connectivity using TBM. Unlike other diffusion tensor imaging (DTI) based white matter connectivity studies, we do not use DTI but only T1-weighted magnetic resonance imaging (MRI). To construct brain network graphs, we have developed a new data-driven approach called the ε-neighbor method that does not need any predetermined parcellation. The proposed pipeline is applied in detecting the topological alteration of the white matter connectivity in maltreated children.

Keywords: Jacobian determinant; brain network; maltreatment; structural connectivity; tensor-based morphometry.