Predicting vocal emotion expressions from the human brain.

摘要: Speech is an important carrier of emotional information. However, little known about how different vocal emotion expressions are recognized in a receiver's brain. We used multivariate pattern analysis functional magnetic resonance imaging data to investigate which degree distinct represented the local brain activity patterns. Specific encoded right fronto-operculo-temporal network involving temporal regions subserve suprasegmental acoustic processes and fronto-opercular region support evaluation, and, moreover, left temporo-cerebellar covering sequential processes. The inferior frontal region, particular, was found differentiate expressions. present reveals be shared cortical reflected by These results shed new light on theoretical empirical controversies perception at level large-scale human signals.