Resting-state functional connectivity in women with Major Depressive Disorder

被引:20
|
作者
Buchanan, Angel [1 ]
Wang, Xue [2 ]
Gollan, Jackie K. [1 ]
机构
[1] Northwestern Univ, Asher Ctr Study & Treatment Depress Disorders, Dept Psychiat & Behav Sci, Feinberg Sch Med, Chicago, IL 60611 USA
[2] Northwestern Univ, Dept Radiol, Chicago, IL 60611 USA
关键词
Depression; Connectivity; Resting-state; fMRI; Independent component analysis; DEFAULT-MODE NETWORK; HUMAN BRAIN; AUTOBIOGRAPHICAL MEMORY; SYMPTOMATOLOGY IDS; CORTEX; SYSTEM; FUTURE; ABNORMALITIES; EPIDEMIOLOGY; ARCHITECTURE;
D O I
10.1016/j.jpsychires.2014.09.002
中图分类号
R749 [精神病学];
学科分类号
100205 ;
摘要
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.
引用
收藏
页码:38 / 44
页数:7
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