Abstract
Introduction
Previous research has found that emotionally intense stimuli are better remembered than neutral stimuli, especially after a period of sleep. However, few studies have examined memory for experienced emotional events, especially fearful ones. The purpose of the current study was to investigate the impact of sleep on memory consolidation using a fearful emotion induction task.
Methods
Thirty-three young adults (18.94±1.06 years; 64% female) were randomly assigned to either a fearful or neutral emotion induction condition. Participants were induced into their assigned emotion by visualizing each of eight emotion-congruent scenarios while corresponding music played in the background. Emotional state was measured using the Affect Grid before and after the emotion induction procedure. Twelve hours later, spanning either a day of wakefulness (wake group) or night of sleep (sleep group), participants were asked to recall the previously presented scenarios.
Results
A 2 x 2 ANOVA examined differences in the number of scenarios recalled between the conditions. A significant main effect of sleep was found, F(1,29)=8.41, p=.007, η 2p=.23, reflecting better recall in the sleep (3.21±1.78) vs. the wake group (1.79±1.72). There was also a main effect of emotion, F(1,29)=22.17, p<.001, η 2p=.43, reflecting better recall in the fear (3.58±1.54) vs. the neutral condition (1.29±1.44). However, there was no interaction. Results were similar for the number of details recalled between the conditions. The sleep group (12.74±9.09) recalled more details than the wake group (5.50±5.81), F(1,29)=8.05, p=.008, η 2p=.22. More details were also recalled in the fear condition (13.16±8.73) than the neutral condition (4.93±5.77), F(1,29)=10.54, p=.003, η 2p=.27. There was again no interaction.
Conclusion
Results demonstrate that both sleep and fearful emotion facilitate memory consolidation. This work both supports and extends existing research by examining emotional memory consolidation through the manipulation of experienced events, which may more closely approximate real world learning than previous methods.
Support
N/A