The naturalistic paradigm : An approach to studying individual variability in neural underpinnings of music perception

Abstract
Music listening is a dynamic process that entails complex interactions between sensory, cognitive, and emotional processes. The naturalistic paradigm provides a means to investigate these processes in an ecologically valid manner by allowing experimental settings that mimic real-life musical experiences. In this paper, we highlight the importance of the naturalistic paradigm in studying dynamic music processing and discuss how it allows for investigating both the segregation and integration of brain processes using model-based and model-free methods. We further suggest that studying individual difference-modulated music processing in this paradigm can provide insights into the mechanisms of brain plasticity, which can have implications for the development of interventions and therapies in a personalized way. Finally, despite the challenges that the naturalistic paradigm poses, we end with a discussion on future prospects of music and neuroscience research, especially with the continued development and refinement of naturalistic paradigms and the adoption of open science practices.
Main Authors
Format
Articles Research article
Published
2023
Series
Subjects
Publication in research information system
Publisher
New York Academy of Sciences
The permanent address of the publication
https://urn.fi/URN:NBN:fi:jyu-202402272169Use this for linking
Review status
Peer reviewed
ISSN
0077-8923
DOI
https://doi.org/10.1111/nyas.15075
Language
English
Published in
Annals of the New York Academy of Sciences
Citation
  • Alluri, V., & Toiviainen, P. (2023). The naturalistic paradigm : An approach to studying individual variability in neural underpinnings of music perception. Annals of the New York Academy of Sciences, 1530(1), 18-22. https://doi.org/10.1111/nyas.15075
License
In CopyrightOpen Access
Funder(s)
Research Council of Finland
Funding program(s)
Centre of Excellence, AoF
Huippuyksikkörahoitus, SA
Research Council of Finland
Additional information about funding
This work was supported by the Academy of Finland (project 346210).
Copyright© 2023 The New York Academy of Sciences.

Share