Cognitive Vulnerability to Major Depression: View from the Intrinsic Network and Cross-network Interactions.

Cognitive Vulnerability to Major Depression: View from the Intrinsic Network and Cross-network Interactions.
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DOI:
10.1097/hrp.0000000000000081
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发表时间:
2016-05
影响因子:
3.8
通讯作者:
Yao S
Yao S
中科院分区:
医学3区
文献类型:
--
作者:
Wang X;Öngür D;Auerbach RP;Yao S

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虽然人们普遍认为认知因素与重度抑郁症(MDD)的发病机制有关,但抑郁症的行为和生物学模型之间缺乏联系。然而,利用神经成像技术的研究已经阐明了一些与认知易感性因素相关的神经生物学机制,特别是从全脑动态角度。在这篇综述中,我们使用双进程框架整合了MDD的公认认知脆弱性因素和内在网络中相应的神经机制。我们认为,静息状态和静息-任务过渡阶段内在网络的动态改变和不平衡是认知脆弱性和重度抑郁症发生的重要原因。具体来说,我们认为静息状态默认模式网络(DMN)活动和连通性的异常增加(主要在DMN前部区域)有助于认知脆弱性的发展。此外,当被试在休息-任务转换期间面对负性刺激时,以下三种异常网络相互作用已被确定为易感性和烦躁情绪的促进因素,每种网络通过不同的认知机制:DMN对中央执行网络(CEN)的支配,显著性网络介导的DMN和CEN之间的转换受损,以及CEN对DMN的无效调节。对休息和任务状态之间的相关网络和大脑活动变化的关注为未来认知脆弱性和恢复力的研究提供了一个神经系统的视角,并可能指导MDD新干预策略的发展。
Although it is generally accepted that cognitive factors contribute to the pathogenesis of major depressive disorder (MDD), there are missing links between behavioral and biological models of depression. Nevertheless, research employing neuroimaging technologies has elucidated some of the neurobiological mechanisms related to cognitive-vulnerability factors, especially from a whole-brain, dynamic perspective. In this review, we integrate well-established cognitive-vulnerability factors for MDD and corresponding neural mechanisms in intrinsic networks using a dual-process framework. We propose that the dynamic alteration and imbalance among the intrinsic networks, both in the resting-state and the rest-task transition stages, contribute to the development of cognitive vulnerability and MDD. Specifically, we propose that abnormally increased resting-state default mode network (DMN) activity and connectivity (mainly in anterior DMN regions) contribute to the development of cognitive vulnerability. Furthermore, when subjects confront negative stimuli in the period of rest-to-task transition, the following three kinds of aberrant network interactions have been identified as facilitators of vulnerability and dysphoric mood, each through a different cognitive mechanism: DMN dominance over the central executive network (CEN), an impaired salience network–mediated switching between the DMN and CEN, and ineffective CEN modulation of the DMN. This focus on interrelated networks and brain-activity changes between rest and task states provides a neural-system perspective for future research on cognitive vulnerability and resilience, and may potentially guide the development of new intervention strategies for MDD.