Modern mate selection theories suggest that people are more likely to marry someone similar to themselves in terms of numerous attributes. Recent research has demonstrated a positive relationship between marital satisfaction and inter-subject correlation (ISC) of neural responses while viewing movies in married couples. Nevertheless, conventional ISC methods solely capture information about similarity in the temporal evolution of region-averaged neural responses, disregarding nuanced spatially distributed response topographies. Here, we integrated ISC and multi-voxel pattern (MVP) analysis to capitalize inter-subject trajectory similarity (ISTS) of MVP. We demonstrated that married couples showed significantly higher ISTS than randomly selected pairs, during movie viewing and resting-state. The ISTS was particularly positively associated with marital satisfaction in married couples while viewing movies. In order to investigate latent “psychological states” characterized by relatively stable patterns of MVP, a hidden Markov model was used to segment the neural events in married couples during viewing movies. We found the ISTS within manually defined events was a strong predictor of marital satisfaction. These results suggest that married couples with high-level marital satisfaction may experience similar trajectories of mental states when exposed to a common marital-related stimulus, and extend our understanding of the neurobiological signatures of intimate relationship.

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