The language of music: Common neural codes for structured sequences in music and natural language

Abstract

The ability to process structured sequences is a central feature of natural language but also characterizes many other domains of human cognition. In this fMRI study, we measured brain metabolic response in musicians as they generated structured and non-structured sequences in language and music. We employed a univariate and multivariate cross-classification approach to provide evidence that a common neural code underlies the production of structured sequences across the two domains. Crucially, the common substrate includes Brocas area, a region well known for processing structured sequences in language. These findings have several implications. First, they directly support the hypothesis that language and music share syntactic integration mechanisms. Second, they show that Brocas area is capable of operating supramodally across these two domains. Finally, these results dismiss the recent hypothesis that domain general processes or proximal neural substrates explain the previously observed \"overlap\" between neuroimaging activations across the two domains.