Identification of Mood-Relevant Brain Connections Using a Continuous, Subject-Driven Rumination Paradigm.
Identification of Mood-Relevant Brain Connections Using a Continuous, Subject-Driven Rumination Paradigm.
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DOI：
10.1093/cercor/bhu255
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发表时间：
2016-03
期刊：
影响因子：
3.7
通讯作者：
A. Milazzo;B. Ng;Heidi Jiang;W. Shirer;G. Varoquaux;J B Poline;B. Thirion;M. Greicius
中科院分区：
文献类型：
--
作者：
A. Milazzo;B. Ng;Heidi Jiang;W. Shirer;G. Varoquaux;J B Poline;B. Thirion;M. Greicius
反刍是一种内部认知状态，其特征是对当前的自我困扰和过去的负面事件进行递归思维，已被发现与抑郁症的发展相关。在这里，我们研究了使用连接区分不同的情绪状态引起的一种新的自由流，主题驱动的实验范式的可行性。14个大规模网络中的78个感兴趣的功能区域（ROI）和6个与情绪处理特别相关的结构ROI之间的连接被用于对19个健康对照的4种精神状态进行分类。这4种心理状态包括：不受约束的走神期;通过回忆个人失望的时间而自我诱发的沉思性心理状态;通过回忆给受试者带来快乐的事情而自我诱发的欣快性心理状态;以及对当天事件的连续情景回忆。支持向量机在对不同的精神状态进行分类时达到了89%到94%的准确率。我们报告了最能区分这些心理状态的最重要的大脑连接。特别是，涉及杏仁核的连接变化被发现是重要的，从其他精神状态区分反刍条件。我们的研究结果表明，基于连接性的主题驱动的情绪状态的分类构成了一个新的和有效的方法来研究反刍行为。
Rumination, an internal cognitive state characterized by recursive thinking of current self-distress and past negative events, has been found to correlate with the development of depressive disorders. Here, we investigated the feasibility of using connectivity for distinguishing different emotional states induced by a novel free-streaming, subject-driven experimental paradigm. Connectivity between 78 functional regions of interest (ROIs) within 14 large-scale networks and 6 structural ROIs particularly relevant to emotional processing were used for classifying 4 mental states in 19 healthy controls. The 4 mental states comprised: An unconstrained period of mind wandering; a ruminative mental state self-induced by recalling a time of personal disappointment; a euphoric mental state self-induced by recalling what brings the subject joy; and a sequential episodic recollection of the events of the day. A support vector machine achieved accuracies ranging from 89% to 94% in classifying pairs of different mental states. We reported the most significant brain connections that best discriminated these mental states. In particular, connectivity changes involving the amygdala were found to be important for distinguishing the rumination condition from the other mental states. Our results demonstrated that connectivity-based classification of subject-driven emotional states constitutes a novel and effective approach for studying ruminative behavior.