Twin modelling reveals partly distinct genetic pathways to music enjoyment

Humans engage with music for various reasons that range from emotional regulation and relaxation to social bonding. While there are large inter-individual differences in how much humans enjoy music, little is known about the origins of those differences. Here, we disentangle the genetic factors underlying such variation. We collect data on several facets of music reward sensitivity, as measured by the Barcelona Music Reward Questionnaire, plus music perceptual abilities and general reward sensitivity from a large sample of Swedish twins (N = 9169; 2305 complete pairs). We estimate that genetic effects contribute up to 54% of the variability in music reward sensitivity, with 70% of these effects being independent of music perceptual abilities and general reward sensitivity. Furthermore, multivariate analyses show that genetic and environmental influences on the different facets of music reward sensitivity are partly distinct, uncovering distinct pathways to music enjoyment and different patterns of genetic associations with objectively assessed music perceptual abilities. These results paint a complex picture in which partially distinct sources of variation contribute to different aspects of musical enjoyment.

Authors

Institutions

Publication Details

Journal
Nature Communications
Published
2025-03-25
DOI
https://doi.org/10.1038/s41467-025-58123-8
Citations
19
Primary Topic
Neuroscience and Music Perception
Type
article
Field-Weighted Citation Impact
27.19

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Twin modelling reveals partly distinct genetic pathways to music enjoyment

Fredrik Ullén, Ernest Mas‐Herrero, Miriam Anna Mosing, Laura W. Wesseldijk et al.
19 citations
Nature Communications
Neuroscience and Music Perception
27.19
article

Twin modelling reveals partly distinct genetic pathways to music enjoyment

Fredrik Ullén, Ernest Mas‐Herrero, Miriam Anna Mosing, Laura W. Wesseldijk, Robert J. Zatorre, Simon E. Fisher, Giacomo Bignardi
article en
19 citations

Abstract

Humans engage with music for various reasons that range from emotional regulation and relaxation to social bonding. While there are large inter-individual differences in how much humans enjoy music, little is known about the origins of those differences. Here, we disentangle the genetic factors underlying such variation. We collect data on several facets of music reward sensitivity, as measured by the Barcelona Music Reward Questionnaire, plus music perceptual abilities and general reward sensitivity from a large sample of Swedish twins (N = 9169; 2305 complete pairs). We estimate that genetic effects contribute up to 54% of the variability in music reward sensitivity, with 70% of these effects being independent of music perceptual abilities and general reward sensitivity. Furthermore, multivariate analyses show that genetic and environmental influences on the different facets of music reward sensitivity are partly distinct, uncovering distinct pathways to music enjoyment and different patterns of genetic associations with objectively assessed music perceptual abilities. These results paint a complex picture in which partially distinct sources of variation contribute to different aspects of musical enjoyment.

Nature CommunicationsVol. 16(1)
Montreal Neurological Institute and Hospital (CA), Radboud University Nijmegen (NL), The University of Melbourne (AU), Karolinska Institutet (SE), Max Planck Institute for Empirical Aesthetics (DE), Institut d'Investigació Biomédica de Bellvitge (ES), Max Planck Institute for Psycholinguistics (NL), Max Planck Institute for Human Cognitive and Brain Sciences (DE), Amsterdam University Medical Centers (NL), International Laboratory for Brain, Music and Sound Research (CA), McGill University (CA), Universitat de Barcelona (ES), University of Amsterdam (NL)
Bundesministerium für Bildung und Forschung, Karolinska Institutet, Max-Planck-Gesellschaft, Vetenskapsrådet, Agencia Estatal de Investigación, European Social Fund
Reduced inequalities
Openalex Percentile: Top 0%
Neuroscience and Music Perception
27.19
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.