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Negative Emotion Differentiation Promotes Cognitive Reappraisal: Evidence From Electroencephalogram Oscillations and Phase‐Amplitude Coupling

机译:消极情绪分化促进认知再评估:来自脑电图振荡和相位-振幅耦合的证据

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摘要

Cognitive reappraisal, an effective emotion regulation strategy, is influenced by various individual factors. Although previous studies have established a link between negative emotion differentiation (NED) and cognitive reappraisal, the underlying neural mechanisms remain largely unknown. Using electroencephalography, this study investigates the influence and neural basis of NED in cognitive reappraisal by integrating aspects of event‐related potentials, neural oscillation rhythms, and cross‐frequency coupling. The findings revealed that individuals with high NED demonstrated a significant decrease in parietal late positive potential amplitudes during cognitive reappraisal, suggesting enhanced cognitive reappraisal abilities. Moreover, high NED individuals displayed increased γ synchronization, parietal α–γ coupling, and frontal θ–γ coupling when reappraising negative emotions than those with low emotion differentiation ability. Machine learning analysis of these neural indicators highlighted the superior classification and predictive accuracy of multimodal indicators for NED as opposed to unimodal indicators. Overall, this multimodal evidence provides a comprehensive interpretation of the neurophysiological mechanisms through which NED influences cognitive reappraisal and provides preliminary empirical support for personalized cognitive reappraisal interventions to alleviate emotional problems.
机译:认知重新评估是一种有效的情绪调节策略,受各种个体因素的影响。尽管以前的研究已经确定了负面情绪分化 (NED) 和认知再评估之间的联系,但潜在的神经机制在很大程度上仍然未知。本研究使用脑电图,通过整合事件相关电位、神经振荡节律和交叉频率耦合的各个方面,调查了 NED 在认知再评估中的影响和神经基础。研究结果显示,高 NED 个体在认知重评价过程中表现出顶叶晚期正电位振幅显着降低,表明认知重评价能力增强。此外,与情绪区分能力低的个体相比,高 NED 个体在重新评价负面情绪时表现出更高的γ同步、壁α-γ耦合和额叶 θ-γ 耦合。与单峰指标相比,这些神经指标的机器学习分析突出了 NED 多模态指标的卓越分类和预测准确性。总体而言,这种多模态证据全面解释了 NED 影响认知重评估的神经生理机制,并为个性化认知重评估干预缓解情绪问题提供了初步的实证支持。

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