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

Autor: Chiang JN; Department of Psychology, University of California Los Angeles, Los Angeles, CA, USA., Rosenberg MH; Department of Psychology, University of California Los Angeles, Los Angeles, CA, USA., Bufford CA; Department of Psychology, University of California Los Angeles, Los Angeles, CA, USA., Stephens D; Department of Music, UCLA Herb Alpert School of Music, University of California Los Angeles, Los Angeles, CA, USA., Lysy A; Department of Music, UCLA Herb Alpert School of Music, University of California Los Angeles, Los Angeles, CA, USA., Monti MM; Department of Psychology, University of California Los Angeles, Los Angeles, CA, USA. Electronic address: monti@ucla.edu.
Jazyk: angličtina
Zdroj: Brain and language [Brain Lang] 2018 Oct; Vol. 185, pp. 30-37. Date of Electronic Publication: 2018 Aug 04.
DOI: 10.1016/j.bandl.2018.07.003
Abstrakt: 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 Broca's 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 Broca's area is capable of operating supramodally across these two domains. Finally, these results dismiss the recent hypothesis that domain general processes of neighboring neural substrates explain the previously observed "overlap" between neuroimaging activations across the two domains.
(Copyright © 2018 Elsevier Inc. All rights reserved.)
Databáze: MEDLINE
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