The question of how language and music are represented in the human brain is one of the more challenging problems of contemporary cognitive neuroscience and neurolinguistics. During the past two decades, advances in neuroimaging technology have produced a greater understanding of higher cognition, including language and music. This multiyear project is unique in bringing together behavioral and neuroimaging research on language and music in healthy subjects and patients. 

Using a combination of neuroimaging and behavioral data, this multiyear project team aimed to establish the language and music mappings in professional musicians who are either monolingual or multilingual and examine the effect of musical training and multilingualism on dementia and cognitive impairment. 

Building on the work of previous teams, team members sought to determine the interactions and interrelations of neurological regions that are critical for linguistic and musical processing and explore the potential impact of musicianship and multilingualism on behavior in those with cognitive impairment and delaying the behavioral symptoms of dementia. The team employed dry EEG neuroimaging in addition to MRI and DTI techniques, designed protocols, collected and analyzed data and prepared manuscripts for publication.

Timing

Fall 2022 – Spring 2023 

Team Outputs

Edna Andrews, Arushi Bhatia, Preston Bowman, Mary Osborne, Sebastian Sanchez, Alexandria Swaine, Katherine Wang. 2023. “Cognitive Neuroscience, Linguistic and Computer Science Perspectives of ChatGPT.” Glossos.

New imaging technique and protocols

This Team in the News

Senior Spotlight: Reflections from the Class of 2023

See related teams, Language, Music and Dementia (2023-2024) and Language, Music and Dementia (2021-2022).
 

Image: Musical brain, Bloomington, by Ali Eminov, licensed under CC BY-NC 2.0