Circular representation of human cortical networks for subject and population-level connectomic visualization.

ABSTRACT: Cortical network architecture has predominantly been investigated visually using graph theory representations. In the context of human connectomics, such representations are not however always satisfactory because canonical methods for vertex-edge relationship representation do not always offer optimal insight regarding functional and structural neural connectivity. This article introduces an innovative framework for the depiction of human connectomics by employing a circular visualization method which is highly suitable to the exploration of central nervous system architecture. This type of representation, which we name a 'connectogram', has the capability of classifying neuroconnectivity relationships intuitively and elegantly. A multimodal protocol for MRI/DTI neuroimaging data acquisit

SUBMITTER: Irimia A 

PROVIDER: S-EPMC3594415 | biostudies-literature | 2012 Apr

REPOSITORIES: biostudies-literature