Comparing brain graphs in which nodes are regions of interest or independent components: A simulation study.

ABSTRACT:

Background

A key challenge in building a brain graph using fMRI data is how to define the nodes. Spatial brain components estimated by independent components analysis (ICA) and regions of interest (ROIs) determined by brain atlas are two popular methods to define nodes in brain graphs. It is difficult to evaluate which method is better in real fMRI data.

New method

Here we perform a simulation study and evaluate the accuracies of a few graph metrics in graphs with nodes of ICA components, ROIs, or modified ROIs in four simulation scenarios.

Results

Graph measures with ICA nodes are more accurate than graphs with ROI nodes in all cases. Graph measures with modified ROI nodes are modulated by artifacts. The correlations of graph metrics across subjects between graphs wi

SUBMITTER: Yu Q 

PROVIDER: S-EPMC5610951 | biostudies-literature | 2017 Nov

REPOSITORIES: biostudies-literature