Neuroticism Modulates the Functional Connectivity From Amygdala to Frontal Networks in Females When Avoiding Emotional Negative Pictures
Neuroticism Modulates the Functional Connectivity From Amygdala to Frontal Networks in Females When Avoiding Emotional Negative Pictures
复制标题
当女性避免负面情绪图片时，神经质调节从杏仁核到额叶网络的功能连接
DOI：
10.3389/fnbeh.2019.00102
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发表时间：
2019-05-09
影响因子：
3
通讯作者：
Walter, Martin
中科院分区：
文献类型：
--
作者：
Deng, Yaling;Li, Shijia;Walter, Martin
杏仁核活动以前被发现与神经质作为效价的影响，但到目前为止，很少有研究集中在动机的背景。虽然一些研究表明杏仁核活动与前额叶皮层（PFC）有很强的联系，但杏仁核活动改变的网络还没有被研究。本研究的目的是从动机的角度探讨神经质对杏仁核与其他脑区，特别是前额叶皮层之间的功能连接的调节作用。我们采用了不同的动机方向（接近和避免）在一个大的参与者样本的情绪图片观看范式。结果表明，神经质对杏仁核向背内侧前额叶皮层（dmPFC）和中扣带皮层（MCC）的数量有预测作用。增加FC在消极与积极的图片，主要是在低神经质的主题，特别是在避免条件。这种依赖于效价和动机的连接性增加在高度神经质的参与者中被破坏。神经质的影响没有被发现的方法条件。我们发现，神经质，特别是在被动情绪调节的背景下，可能会损害杏仁核和假定的调节皮层网络之间的连接。
Amygdala activity was previously found to correlate with neuroticism as an effect of valence, but so far few studies have focused on motivational context. The network subserving altered amygdala activity has not yet been investigated although some studies showed strong effective connections with prefrontal cortex (PFC). The goal of this study was to test the modulatory role of neuroticism on the functional connectivity (FC) between amygdala and other brain regions, especially PFC, during emotion processing from motivational direction. We applied an emotional picture viewing paradigm with different motivational directions (approaching and avoiding) in a large participant sample. The results showed that neuroticism predicted the amount of amygdala FC to dorsomedial PFC (dmPFC) and middle cingulate cortex (MCC). Increased FC during negative vs. positive pictures was found primarily in low neuroticism subjects, especially during the avoid condition. This valence and motivation dependent connectivity increase were disrupted for high neurotic participants. No effect of neuroticism was found for the approach condition. We showed that neuroticism, especially in the context of passive affect regulation, may have impaired connectivity between amygdala and putative regulatory cortical networks.