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Synesthesia is associated with distinctive patterns in dream content.

Kyle Napierkowski, Emily Cook

Consciousness and Cognition 2026 DOI: 10.1016/j.concog.2025.103959 (opens in new tab)

Study at a glance

AI-extracted from the abstract
Characteristics Observational study Peer reviewed
Sample size 2,337
Population Self-identified synesthetes and matched controls from Reddit
Topics Dreaming
Keywords Computational linguistics Continuity hypothesis Dream analysis Individual differences Synesthesia Topic modelling
Key findings Four dream themes—digital, interpersonal regret, diverse worlds, and violent conflict—were significantly more prevalent in synesthete dreams compared to controls.

Abstract

Dreams offer insight into how individual differences shape conscious experience in the absence of external input or task demands. This study examines whether synesthesia is linked to distinct patterns in dream content, suggesting underlying differences in cognitive architecture. Leveraging the statistical power of large-scale, naturalistic data, we analyzed 2,337 dream reports from Reddit, comparing 1,169 reports from self-identified synesthetes with 1,168 matched controls. Semantic embedding models and logistic regression achieved modest classification performance, indicating group-level differences in language use. Topic modeling revealed four themes-digital, interpersonal regret, diverse worlds, and violent conflict-that were significantly more prevalent in synesthete dreams. These results suggest that trait-level cognitive organization, as expressed in synesthetic perception, extends across states of consciousness and shapes the thematic content of dreams. The findings support theoretical accounts of dreaming as continuous with waking cognition and demonstrate how stable neurocognitive traits manifest in unstructured, self-generated thought.