Article Figures & Data
Figures
- Figure 1.
Schematic of EMA and fMRI task. A, EMA occurred over 10 d. Emotional effects of real-world reward were measured over minutes to hours. fMRI analyses parsed BOLD reward responses into amplitude and width. These parameters were used to predict individual differences in naturalistic emotional reactivity and duration. B, EMA and fMRI task. In the EMA task, subjects received text messages in which they rated their positive and negative emotion several times a day. Each day, subjects also played a game in which they could win $15. After game outcome, emotion was sampled frequently over the ensuing 90 min and allowed estimation of positive emotion duration. In the fMRI task, subjects played the identical game in which they could win or not win $1. Subjects saw the number 5, guessed whether the next number would be higher or lower than 5, and received the outcome. A green arrow pointing upward indicated that the participant had guessed correctly.
- Figure 2.
The EMA game impacts positive emotion as evidenced by deviation from baseline positive emotion. Histogram displays the distribution of duration of positive emotion following winning. Error bars represent standard error of the mean.
- Figure 3.
Amplitude of DLPFC engagement after winning predicts individual differences in real-world positive emotion reactivity. Thresholded at p < 0.05 corrected for multiple comparisons across the whole brain.
- Figure 4.
Width of ventral striatal engagement over seconds after winning predicts duration of real-world positive emotion. Green denotes the small volume mask used, and hot colors correspond to the suprathreshold activity within this a priori ROI; p < 0.05, corrected for multiple comparisons across the small volume ROI.
