Funny kittens: Positive mood induced via short video-clips affects error processing but not conflict control
SourceInternational Journal of Psychophysiology, 147, (2020), pp. 147-155
Article / Letter to editor
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SW OZ DCC SMN
International Journal of Psychophysiology
SubjectAction, intention, and motor control
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.
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