Cortical encoding of melodic expectations in human temporal cortex

Author:

Di Liberto Giovanni M1ORCID,Pelofi Claire23,Bianco Roberta4,Patel Prachi56,Mehta Ashesh D78ORCID,Herrero Jose L78,de Cheveigné Alain14,Shamma Shihab19,Mesgarani Nima56ORCID

Affiliation:

1. Laboratoire des systèmes perceptifs, Département d’études cognitives, École normale supérieure, PSL University, CNRS, 75005 Paris, France

2. Department of Psychology, New York University, New York, United States

3. Institut de Neurosciences des Système, UMR S 1106, INSERM, Aix Marseille Université, Marseille, France

4. UCL Ear Institute, London, United Kingdom

5. Department of Electrical Engineering, Columbia University, New York, United States

6. Mortimer B Zuckerman Mind Brain Behavior Institute, Columbia University, New York, United States

7. Department of Neurosurgery, Zucker School of Medicine at Hofstra/Northwell, Manhasset, United States

8. Feinstein Institute of Medical Research, Northwell Health, Manhasset, United States

9. Institute for Systems Research, Electrical and Computer Engineering, University of Maryland, College Park, United States

Abstract

Humans engagement in music rests on underlying elements such as the listeners’ cultural background and interest in music. These factors modulate how listeners anticipate musical events, a process inducing instantaneous neural responses as the music confronts these expectations. Measuring such neural correlates would represent a direct window into high-level brain processing. Here we recorded cortical signals as participants listened to Bach melodies. We assessed the relative contributions of acoustic versus melodic components of the music to the neural signal. Melodic features included information on pitch progressions and their tempo, which were extracted from a predictive model of musical structure based on Markov chains. We related the music to brain activity with temporal response functions demonstrating, for the first time, distinct cortical encoding of pitch and note-onset expectations during naturalistic music listening. This encoding was most pronounced at response latencies up to 350 ms, and in both planum temporale and Heschl’s gyrus.

Funder

H2020 European Research Council

H2020 LEIT Information and Communication Technologies

National Institutes of Health

Publisher

eLife Sciences Publications, Ltd

Subject

General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,General Neuroscience

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