Assessing the Reliability of Template-Based Clustering for Tractography in Healthy Human Adults.

ABSTRACT: Tractography is a non-invasive technique to investigate the brain's structural pathways (also referred to as tracts) that connect different brain regions. A commonly used approach for identifying tracts is with template-based clustering, where unsupervised clustering is first performed on a template in order to label corresponding tracts in unseen data. However, the reliability of this approach has not been extensively studied. Here, an investigation into template-based clustering reliability was performed, assessing the output from two datasets: Human Connectome Project (HCP) and MyConnectome project. The effect of intersubject variability on template-based clustering reliability was investigated, as well as the reliability of both deep and superficial white matter tracts. Identified trac

SUBMITTER: Kai J 

PROVIDER: S-EPMC8891507 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature