Nonparametric Bayes Models of Fiber Curves Connecting Brain Regions.

ABSTRACT: In studying structural inter-connections in the human brain, it is common to first estimate fiber bundles connecting different regions relying on diffusion MRI. These fiber bundles act as highways for neural activity. Current statistical methods reduce the rich information into an adjacency matrix, with the elements containing a count of fibers or a mean diffusion feature along the fibers. The goal of this article is to avoid discarding the rich geometric information of fibers, developing flexible models for characterizing the population distribution of fibers between brain regions of interest within and across different individuals. We start by decomposing each fiber into a rotation matrix, shape and translation from a global reference curve. These components are viewed as data lying on a

SUBMITTER: Zhang Z 

PROVIDER: S-EPMC7138131 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature