Subliminal beauty engages the brain’s valuation circuits
Patrícia Fernandes, Joseph W. Kable, Jorge Mota Almeida, Anita Tusche, Christian Carl Ruff, Fredrik Bergström
Journal of Neuroscience November 9, 2026 DOI: 10.1523/jneurosci.2265-25.2026 (opens in new tab)
Study at a glance
AI-extracted from the abstract| Characteristics | fMRI experiment Peer reviewed |
|---|---|
| Sample size | 29 |
| Population | Human participants (24 females, 5 males) viewing faces of varying attractiveness |
| Measures | d' (task performance), subjective visibility ratings, attractiveness ratings |
| Key findings | Neural signal in vmPFC correlated with subjective value for both consciously seen and unseen faces, with similar patterns; in aVS, value-related signal was observed only for unseen faces. The authors argue this demonstrates that subjective value can be computed automatically in aVS and vmPFC without conscious awareness. |
Abstract
Neuroeconomic models propose that the anterior ventral striatum (aVS) and ventromedial prefrontal cortex (vmPFC) are key regions for computing subjective value (SV) signals that guide choice. However, the role of conscious awareness in this process remains debated. Here we examined whether SV can be automatically computed in these regions without conscious awareness. In an fMRI experiment, human participants (24 females, 5 males) viewed faces that varied in attractiveness under three conditions: (i) suppressed from awareness via continuous flash suppression (CFS), (ii) clearly visible without suppression, or (iii) absent (background only) with CFS. Participants reported trial-wise facial identity (objective) and visibility (subjective) measures of facial awareness. In a post-fMRI session, they rated the attractiveness of each face as a measure of SV. When faces were seen, task performance (d’) exceeded chance and responses were faster than in absent trials. When faces were unseen, performance was at chance but responses were slower than absent trials. Neurally, seen and unseen faces elicited greater neural signal than absent trials and showed similar neural patterns in the fusiform face area (FFA). Critically, neural signal in vmPFC correlated with SV for both seen and unseen faces, with similar neural patterns. In aVS, SV-related signal was only observed for unseen faces. Furthermore, mean face-related signal in FFA correlated with SV-related signals in aVS and vmPFC for unseen faces. These findings demonstrate that SV can be automatically computed in aVS and vmPFC without conscious awareness, suggesting a neural pathway by which subliminal information can influence value-based choice. Significance statement A central question in consciousness research and decision neuroscience is whether the brain’s valuation circuitry – particularly the anterior ventral striatum (aVS) and ventromedial prefrontal cortex (vmPFC) – can compute subjective value automatically without conscious awareness. This question is important because prevailing accounts often assume that cognitive functions supported by the prefrontal cortex require conscious awareness of task-relevant information. Using continuous flash suppression and neuroimaging, we found that faces reported unseen nevertheless evoked value-related signals in aVS and vmPFC that scaled with subjective attractiveness ratings. These findings demonstrate that subjective value can be computed automatically from social information in the absence of conscious awareness.