Decoding of emotion expression in the face, body and voice reveals sensory modality specific representations.

A central issue in affective science is whether the brain represents the emotional expressions of faces, bodies and voices as abstract categories in which auditory and visual information converge in higher order conceptual and amodal representations. This study explores an alternative theory based on the hypothesis that under naturalistic conditions where affective signals are acted upon that rather than reflected upon, major emotion signals (face, body, voice) have sensory specific brain representations. During fMRI recordings, participants were presented naturalistic dynamic stimuli of emotions expressed in videos of either the face or the whole body, or voice fragments. To focus on automatic emotion processing and bypass explicit emotion cognition relying on conceptual processes, participants performed an unrelated target detection task presented in a different modality than the stimulus. Using multivariate analysis to asses neural activity patterns in response to emotion expressions in the different stimuli types, we show a distributed brain organization of affective signals in which distinct emotion signals are closely tied to the sensory origin. Our findings are consistent with the notion that under ecological conditions the various sensory emotion expressions have different functional roles, even when from an abstract conceptual vantage point they all exemplify the same emotion category.