  Understanding the dynamics of emotional experience is an old problem.
However, a clear understanding of the mechanism of emotional experience is
still far away. In the presented work, we tried to address this problem using a
well-established method called microstate analysis using multichannel
electroencephalography (EEG). We recorded the brain activity of spontaneous
emotional experiences while participants were watching multimedia emotional
stimuli. The time duration where the participants spontaneously felt an
emotion, we termed it an emotional event. Microstate segmentation is performed
for all emotional events to calculate the set of microstates (MS). Followed by
a comparison of calculated statistical parameters and transition probabilities
for the emotional and non-emotional conditions. We found a set of MS (four MS)
for emotional and non-emotional conditions that differ from each other. We
observed that MS1 has a higher value of occurrence, duration and coverage for
emotional conditions. In addition, the transition to MS1 for the emotional
condition was higher. On the other hand, for non-emotion (or neutral)
condition, transition to MS3 was higher. A set of MS related to neutral
condition was source localized to brain regions involved in higher-level
sensory feature processing. On the other hand, for emotional conditions, MS1 \&
MS2 are localized to sensory feature processing regions, and MS3 \& MS4 are
additionally localized to regions related to socio-emotional processing. Our
results hint toward the constructionist mechanism, which has an asymmetric
contribution from bottom-up and top-down processing during an emotional
experience.
