心情
心理学
电生理学
剪辑
情感(语言学)
听力学
脑电图
发展心理学
认知心理学
错误相关否定性
神经科学
认知
沟通
社会心理学
扣带回前部
人工智能
医学
计算机科学
作者
Roland Nigbur,Markus Ullsperger
标识
DOI:10.1016/j.ijpsycho.2019.11.007
摘要
The interplay of performance monitoring functions and affective variables labeled as moods or emotions has been investigated within different theoretical frameworks including conflict adaptation and reinforcement learning. However, results regarding the electrophysiological underpinnings of performance monitoring such as the error-related negativity (ERN), the N200 or the error positivity (Pe) remain largely inconsistent. While some studies report ERN enhancements after positive mood induction, others find reductions due to positive affect. An additional source of complexity regards the manifold induction methods across studies. Here, we investigated whether performance-independent, blocked mood inductions via mini-clips alter electrophysiological markers of performance monitoring. Positive clips consisted of a pre-rated collection of human and animal funny/fail videos, while neutral clips showed natural scenes of humans and animals or sport events. The main task was a modified flanker paradigm. The effectivity of mood induction was confirmed via recorded skin conductance response (SCR), facial-muscle electromyogram (EMG) and intermittent subjective mood questionnaires. Regarding interference control neither reaction times nor error rates were influenced by mood induction, similarly no mood effects of the N2 component were observed. In contrast, we found enhanced ERN as well as Pe amplitudes in the positive compared to the neutral condition. Additional to post error slowing we found increased interference effects after errors in positive blocks on the behavioral level. The results suggest a specific receptiveness of evaluative control components to positive affect that will be discussed regarding their possible neuronal underpinnings.
科研通智能强力驱动
Strongly Powered by AbleSci AI