Although music is one of human-unique traits such as language, its neural basis for cortical organization has not been well understood. In the present functional magnetic resonance imaging study, we tested an error-detection task with different types of musical error (pitch, tempo, stress, and articulation conditions) and examined three groups of secondary school students having different levels of music experience. First, we observed distinct activation patterns under these music conditions, such that specific activations under the pitch condition were consistently replicated for all tested groups in the auditory areas, as well as in the left language areas under the articulation condition. Second, music-experience-related activations were observed in multiple regions, including the right sensorimotor area under the pitch condition, as well as in the right premotor cortex under the articulation condition. Indeed, the right homologs of the language areas were specifically activated under the stress and articulation conditions. Third, activations specific to the group with the highest proficiency in music were observed under the tempo condition mostly in the right regions. These results demonstrate the existence of music-related signatures in the brain activations, including both universal and experience-related mechanisms.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.