Clustering probabilistic tractograms using independent component analysis applied to the thalamus.

ABSTRACT: The connectivity information contained in diffusion tensor imaging (DTI) has previously been used to parcellate cortical and subcortical regions based on their connectivity profiles. The aim of the current study is to investigate the utility of a novel approach to connectivity based parcellation of the thalamus using probabilistic tractography and independent component analysis (ICA). We use ICA to identify spatially coherent tractograms as well as their underlying seed regions, in a single step. We compare this to seed-based tractography results and to an established and reliable approach to parcellating the thalamus based on the dominant cortical connection from each thalamic voxel (Behrens et al., 2003a,b). The ICA approach identifies thalamo-cortical pathways that correspond to known a

SUBMITTER: O'Muircheartaigh J 

PROVIDER: S-EPMC3032893 | biostudies-literature | 2011 Feb

REPOSITORIES: biostudies-literature