期刊
JOURNAL OF PSYCHIATRIC RESEARCH
卷 76, 期 -, 页码 111-120出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.jpsychires.2016.02.005
关键词
Subthreshold depression; Resting-state functional connectivity; Default mode network; Independent component analysis; fMRI; Ventral striatum
类别
资金
- International Collaboration Research Program at Science and Technology of China [2007DFA30780]
- NIH (NCCIH) [R01AT005280, PO1-AT002048, R01AT008563]
Subthreshold depression (StD) is a highly prevalent condition associated with increased service utilization and social morbidity. Nevertheless, due to limitations in current diagnostic systems that set the boundary for major depressive disorder (MDD), very few brain imaging studies on the neurobiology of StD have been carried out, and its underlying neurobiological mechanism remains unclear. In recent years, accumulating evidence suggests that the disruption of the default mode network (DMN), a network involved in self-referential processing, affective cognition, and emotion regulation, is involved in major depressive disorder. Using independent component analysis, we investigated resting-state default mode network (DMN) functional connectivity (FC) changes in two cohorts of StD patients with different age ranges (young and middle-aged, n = 57) as well as matched controls (n = 79). We found significant FC increase between the DMN and ventral striatum (key region in the reward network), in both cohorts of StD patients in comparison with controls. In addition, we also found the FC between the DMN and ventral striatum was positively and significantly associated with scores on the Center for Epidemiologic Studies Depression Scale (CES-D), a measurement of depressive symptomatology. We speculate that this enhanced FC between the DMN and the ventral striatum may reflect a self compensation to ameliorate the lowered reward function. (C) 2016 The Authors. Published by Elsevier Ltd.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据