心理学
调制(音乐)
发展心理学
认知心理学
物理
声学
作者
Mengke Zhang,Jing Wang,Qing Li,Song Li,Xiuqin Bao,Xu Chen
标识
DOI:10.1016/j.ijpsycho.2023.112243
摘要
Theoretical account of attachment proposed that individual differences in adult attachment styles play a key role in adjusting balance between affective evaluation and cognitive control. Yet, little is known about the temporal characteristics of emotional conflict processing modulated by attachment styles. Accordingly, the present study used event-related potentials (ERP) and multivariate pattern analysis (MVPA) combined with an emotional face-word Stroop task to investigate the temporal dynamics of attachment-related cognitive-affective patterns in emotional conflict processing. The ERP results demonstrated multiple-process of emotional conflict modulated by attachment styles. In early sensory processing, positive faces captured avoidant attachment individuals' attention as reflected in greater P1, while the same situation led to greater N170 in secure and anxious individuals. Crucially, impairment in conflict-monitoring function was found in anxious individuals as reflected by the absence of interference effect on N450, leading to impaired ability of inhibitory control as indicated by decreased slow potential. In contrast, avoidant individuals showed greater slow potential for inhibiting emotional interference. Furthermore, MVPA revealed that the corresponding time window for conflict monitoring was found for emotional distractors decoding rather than congruency decoding in the anxious attachment group. Convergent results from ERPs and MVPA indicated that the deficits in emotional conflict monitoring and resolution among anxious individuals might be due to the excessive approach to emotional distractors, as they habitually use emotional evaluation rather than cognitive control. In summary, the present study provides electrophysiological evidence that attachment styles modulated emotional conflict processing, which highlights the contribution of attachment to social information processing.
科研通智能强力驱动
Strongly Powered by AbleSci AI