Altered topological properties of functional network connectivity in schizophrenia during resting state: A small-world brain Network study

Qingbao Yu, Jing Sui, Srinivas Rachakonda, Hao He, William Gruner, Godfrey Pearlson, Kent A. Kiehl, Vince D. Calhoun

Research output: Contribution to journalArticlepeer-review

Abstract

Aberrant topological properties of small-world human brain networks in patients with schizophrenia (SZ) have been documented in previous neuroimaging studies. Aberrant functional network connectivity (FNC, temporal relationships among independent component time courses) has also been found in SZ by a previous resting state functional magnetic resonance imaging (fMRI) study. However, no study has yet determined if topological properties of FNC are also altered in SZ. In this study, small-world network metrics of FNC during the resting state were examined in both healthy controls (HCs) and SZ subjects. FMRI data were obtained from 19 HCs and 19 SZ. Brain images were decomposed into independent components (ICs) by group independent component analysis (ICA). FNC maps were constructed via a partial correlation analysis of ICA time courses. A set of undirected graphs were built by thresholding the FNC maps and the small-world network metrics of these maps were evaluated. Our results demonstrated significantly altered topological properties of FNC in SZ relative to controls. In addition, topological measures of many ICs involving frontal, parietal, occipital and cerebellar areas were altered in SZ relative to controls. Specifically, topological measures of whole network and specific components in SZ were correlated with scores on the negative symptom scale of the Positive and Negative Symptom Scale (PANSS). These findings suggest that aberrant architecture of small-world brain topology in SZ consists of ICA temporally coherent brain networks.

Original languageEnglish (US)
Article numbere25423
JournalPloS one
Volume6
Issue number9
DOIs
StatePublished - Sep 28 2011
Externally publishedYes

ASJC Scopus subject areas

  • General

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