Sugiura Motoaki, Katayori Yoko, Muratsubaki Tomohiko, Shiratori Miyuki, Hanawa Sugiko, Nejad Keyvan Kashkouli, Tamura Daisaku, Kawashima Ryuta, Fukudo Shin
Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.
International Research Institute of Disaster Science, Tohoku University, Sendai, Japan.
Front Behav Neurosci. 2023 Mar 6;17:1059158. doi: 10.3389/fnbeh.2023.1059158. eCollection 2023.
Although some researchers consider automatic adaptive emotion regulation to be an automatized strategy whereas others consider it to be implicit disengagement of deliberative process, to date, its neural correlates have been poorly investigated. In addition, the valence specificity of automatic adaptive emotion regulation and levels of activation relative to the neutral condition are controversial; the former is relevant to the attribution of resilient emotion regulation to positivity bias or emotional stability, and the latter to determining whether regulation is based on emotion-specific or emotion-non-specific processes. In this functional magnetic resonance imaging (fMRI) study, we presented positive and negative emotional pictures to healthy young participants and investigated the neural correlates of automatic adaptive emotion regulation in spontaneous emotional response. A significant negative trait effect (i.e., regression coefficient) on activation was identified both for positive and negative emotional responses in various cortical regions. A cluster analysis identified three clusters among these regions based on the valence specificity of the trait effect and level of activation relative to neutral stimuli. Cluster 1 included regions in the sensorimotor cortex characterized by negative emotion-specific decreases in activation relative to neutral stimuli in adaptive individuals. Cluster 2 included several cortical regions including the bilateral dorsal executive network, anterior cingulate, and inferior frontal gyrus, which were characterized by valence-independent decreases in activation in adaptive individuals. Cluster 3 included the bilateral ventrolateral and dorsomedial prefrontal cortices, right insula, and other posterior regions, which were characterized by increased activation for negative stimuli in non-adaptive individuals. These findings support the assumption that automatic adaptive emotion regulation involves the implicit disengagement of deliberative process and suggest the relevance of different cortical networks to the potential emotion- and valence-specificity of adaptive regulation.
尽管一些研究者认为自动适应性情绪调节是一种自动化策略，而另一些研究者则认为它是深思熟虑过程的隐性脱离，但迄今为止，对其神经关联的研究还很不足。此外，自动适应性情绪调节的效价特异性以及相对于中性条件的激活水平存在争议；前者与将弹性情绪调节归因于积极偏差或情绪稳定性有关，后者与确定调节是基于情绪特异性还是非特异性过程有关。在这项功能磁共振成像（fMRI）研究中，我们向健康的年轻参与者展示了积极和消极情绪图片，并研究了自发情绪反应中自动适应性情绪调节的神经关联。在各个皮层区域的积极和消极情绪反应中均发现了对激活的显著负性特质效应（即回归系数）。基于特质效应的效价特异性和相对于中性刺激的激活水平，聚类分析在这些区域中识别出三个聚类。聚类1包括感觉运动皮层中的区域，其特征是适应性个体相对于中性刺激，消极情绪特异性激活降低。聚类2包括几个皮层区域，包括双侧背侧执行网络、前扣带回和额下回，其特征是适应性个体的激活无效价依赖性降低。聚类3包括双侧腹外侧和背内侧前额叶皮层、右侧脑岛和其他后部区域，其特征是非适应性个体对消极刺激的激活增加。这些发现支持了自动适应性情绪调节涉及深思熟虑过程的隐性脱离这一假设，并表明不同皮层网络与适应性调节潜在的情绪和效价特异性的相关性。
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