Multidimensional analysis and detection of informative features in human brain white matter.

ABSTRACT: The white matter contains long-range connections between different brain regions and the organization of these connections holds important implications for brain function in health and disease. Tractometry uses diffusion-weighted magnetic resonance imaging (dMRI) to quantify tissue properties along the trajectories of these connections. Statistical inference from tractometry usually either averages these quantities along the length of each fiber bundle or computes regression models separately for each point along every one of the bundles. These approaches are limited in their sensitivity, in the former case, or in their statistical power, in the latter. We developed a method based on the sparse group lasso (SGL) that takes into account tissue properties along all of the bundles and selects

SUBMITTER: Richie-Halford A 

PROVIDER: S-EPMC8270416 | biostudies-literature | 2021 Jun

REPOSITORIES: biostudies-literature