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消极情绪分化中的个体差异预测静息状态下的自发情绪调节过程。

Individual Differences in Negative Emotion Differentiation Predict Resting-State Spontaneous Emotional Regulatory Processes.

作者信息

Wang Yali, Shangguan Chenyu, Gu Chuanhua, Hu Biying

机构信息

Department of Psychology, Zhejiang University of Finance and Economics, Hangzhou, China.

Department of Psychology, School of Education, Shanghai Normal University, Shanghai, China.

出版信息

Front Psychol. 2020 Nov 10;11:576119. doi: 10.3389/fpsyg.2020.576119. eCollection 2020.

DOI:10.3389/fpsyg.2020.576119
PMID:33244304
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7684205/
Abstract

Negative emotion differentiation facilitates emotion regulation. However, whether individual differences in negative emotion differentiation is associated with resting-state spontaneous emotion regulation remains unclear. This study aimed to explore the effect of individual differences in negative emotion differentiation on spontaneous emotional regulatory processes as indexed by resting electroencephalogram (EEG) indicators (e.g., frontal alpha asymmetry and theta/beta ratio). Participants ( = 40, = 21.74 years, 62% women) completed a negative emotion differentiation task. Afterward, 4 min of resting EEG data were recorded. Multiple regression results showed that negative emotion differentiation significantly predicted the alpha asymmetry at electrode pairs (F4-F3 and FP2-FP1) and the theta/beta ratio at the F3 and FZ electrode sites. Individuals with high negative emotion differentiation presented more left-lateralized activations and a lower theta/beta ratio. Taken together, these results suggest that individuals with high negative emotion differentiation show enhanced spontaneous emotional regulatory functioning. Thus, we provided the first resting-state neural evidence on emotion differentiation of spontaneous emotional regulatory functioning.

摘要

消极情绪分化有助于情绪调节。然而,消极情绪分化的个体差异是否与静息状态下的自发情绪调节相关仍不清楚。本研究旨在探讨消极情绪分化的个体差异对以静息脑电图(EEG)指标(如额叶α波不对称性和θ/β比值)为指标的自发情绪调节过程的影响。参与者(n = 40,M = 21.74岁,62%为女性)完成了一项消极情绪分化任务。随后,记录了4分钟的静息EEG数据。多元回归结果表明,消极情绪分化显著预测了电极对(F4 - F3和FP2 - FP1)处的α波不对称性以及F3和FZ电极部位的θ/β比值。消极情绪分化程度高的个体表现出更多的左侧激活和更低的θ/β比值。综上所述,这些结果表明消极情绪分化程度高的个体表现出增强的自发情绪调节功能。因此,我们提供了关于自发情绪调节功能情绪分化的首个静息态神经证据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a839/7684205/50137d8b0fe5/fpsyg-11-576119-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a839/7684205/e55b8fa2550c/fpsyg-11-576119-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a839/7684205/50137d8b0fe5/fpsyg-11-576119-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a839/7684205/e55b8fa2550c/fpsyg-11-576119-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a839/7684205/50137d8b0fe5/fpsyg-11-576119-g002.jpg

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