Effects of different correlation metrics and preprocessing factors on small-world brain functional networks: a resting-state functional MRI study.

ABSTRACT: Graph theoretical analysis of brain networks based on resting-state functional MRI (R-fMRI) has attracted a great deal of attention in recent years. These analyses often involve the selection of correlation metrics and specific preprocessing steps. However, the influence of these factors on the topological properties of functional brain networks has not been systematically examined. Here, we investigated the influences of correlation metric choice (Pearson's correlation versus partial correlation), global signal presence (regressed or not) and frequency band selection [slow-5 (0.01-0.027 Hz) versus slow-4 (0.027-0.073 Hz)] on the topological properties of both binary and weighted brain networks derived from them, and we employed test-retest (TRT) analyses for further guidance on how to cho

SUBMITTER: Liang X 

PROVIDER: S-EPMC3295769 | biostudies-literature | 2012

REPOSITORIES: biostudies-literature