Resting-state fMRI study on brain network in depression

Objective Depression is a mood disorder that causes a persistent feeling of sadness, with high morbidity rates and great social impairment. Increasingly studies show the abnormalities of brain networks. We summarized the results of functional magnetic resonance imaging study of depression, and demonstrated the neural loops mechanism from neuroimaing perspective. Methods The key words , resting state and were searched in PubMed, CNKI and Wan Fang databases from January 2000 to December 2014. The nodes of depression related network and the alterations of cortex resting-state networks were summarized. Results 24 studies focusing on network of depression were identified. 40 studies based on ROI (region of interest) analysis, which included amygdala, frontal lobe, pregenual anterior cingulate cortex and cerebellum. The functional connectivity of ROIs were calculated and compared between groups. 8 studies based on ICA (independent component analysis), the networks were extracted and compared between groups. Two based on graph theory, the functional connectivity of whole brain were analyzed and compared. Conclusion There are abnormalities of functional connectivity among limbic system-thalamus-frontal cortex, and the changes of functional connectivity were associated with clinical symptom and drug efficacy of depression. Key words: Depression, resting-state fMRI; Brain network