期刊
JOURNAL OF PSYCHIATRIC RESEARCH
卷 59, 期 -, 页码 38-44出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.jpsychires.2014.09.002
关键词
Depression; Connectivity; Resting-state; fMRI; Independent component analysis
类别
资金
- Davee Family Foundation
- Northwestern Memorial Hospital Women's Board Award
Objective: Limited research has focused on whole-brain functional connectivity in a well-characterized sample of subjects with current Major Depressive Disorder (MDD). We aimed to investigate resting-state functional connectivity and the extent to which this is correlated with depression severity in unmedicated depressed subjects without comorbidities. Methods: We utilized Independent Component Analysis (ICA) to investigate whole-brain functional connectivity in a sample of healthy controls (n = 26) and unmedicated subjects diagnosed only with current MDD (n = 20). Correlations were calculated between network connectivity strength and depression severity. Results: Depressed subjects demonstrated significantly decreased connectivity in the right frontoparietal (p = 0.03), left frontoparietal (p = 0.01), and language (p = 0.02) networks compared to healthy control subjects. Conclusion: We found abnormal resting-state functional connectivity not previously reported in MDD. Decreased connectivity in the frontoparietal and language networks may represent depression-related difficulties in attention, cognitive control, goal-directed cognition, and language. Findings from this study may further elucidate functional connectivity as a diagnostic marker of depression severity. (C) 2014 Elsevier Ltd. All rights reserved.
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