Figure 1.

[BOLD Data] Results from supervised and unsupervised analyses of BOLD data from the 9 s scenario immersion. (a) Supervised clustering: Mean ± SEM classification accuracy from within-subject CNN supervised classification. The red line represents chance level accuracy (33.3%). (b,c) Unsupervised clustering: (b) Histogram of number of participants fit by 1, 2, or 3 GMM clusters. Specifically, eight participants had one discovered cluster, six had two, and two had three. (c) Correspondence between discovered clusters and emotion category labels for two example participants (corresponding to Participant IDs 1 and 2 in part a) with two (left) and three (right) discovered clusters respectively. Bars represent the proportion of the trials from each emotion category found within each cluster. Blue bars represent trials labeled as fear, orange bars happiness, and yellow sadness. The total proportion of categories in each cluster sums to 1. The mixing proportion ${\pi }_k$ reported below each cluster is the probability that an observation comes from that cluster, which is representative of the size of the cluster.