Blockwise Human Brain Network Visual Comparison Using NodeTrix Representation.

ABSTRACT: Visually comparing human brain networks from multiple population groups serves as an important task in the field of brain connectomics. The commonly used brain network representation, consisting of nodes and edges, may not be able to reveal the most compelling network differences when the reconstructed networks are dense and homogeneous. In this paper, we leveraged the block information on the Region Of Interest (ROI) based brain networks and studied the problem of blockwise brain network visual comparison. An integrated visual analytics framework was proposed. In the first stage, a two-level ROI block hierarchy was detected by optimizing the anatomical structure and the predictive comparison performance simultaneously. In the second stage, the NodeTrix representation was adopted and custo

SUBMITTER: Yang X 

PROVIDER: S-EPMC5293509 | biostudies-literature | 2017 Jan

REPOSITORIES: biostudies-literature