The neural bases of familiar music listening in healthy individuals: An activation likelihood estimation meta-analysis.


Journal

Neuroscience and biobehavioral reviews
ISSN: 1873-7528
Titre abrégé: Neurosci Biobehav Rev
Pays: United States
ID NLM: 7806090

Informations de publication

Date de publication:
Nov 2023
Historique:
received: 09 03 2023
revised: 06 10 2023
accepted: 08 10 2023
medline: 6 11 2023
pubmed: 16 10 2023
entrez: 15 10 2023
Statut: ppublish

Résumé

Accumulating evidence suggests that the neural activations during music listening differs as a function of familiarity with the excerpts. However, the implicated brain areas are unclear. After an extensive literature search, we conducted an Activation Likelihood Estimation analysis on 23 neuroimaging studies (232 foci, 364 participants) to identify consistently activated brain regions when healthy adults listen to familiar music, compared to unfamiliar music or an equivalent condition. The results revealed a left cortical-subcortical co-activation pattern comprising three significant clusters localized to the supplementary motor areas (BA 6), inferior frontal gyrus (IFG, BA 44), and the claustrum/insula. Our results are discussed in a predictive coding framework, whereby temporal expectancies and familiarity may drive motor activations, despite any overt movement. Though conventionally associated with syntactic violation, our observed activation in the IFG may support a recent proposal of its involvement in a network that subserves both violation and prediction. Finally, the claustrum/insula plays an integral role in auditory processing, functioning as a hub that integrates sensory and limbic information to (sub)cortical structures.

Identifiants

pubmed: 37839672
pii: S0149-7634(23)00392-5
doi: 10.1016/j.neubiorev.2023.105423
pii:
doi:

Types de publication

Meta-Analysis Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

105423

Informations de copyright

Copyright © 2023 Elsevier Ltd. All rights reserved.

Auteurs

Veronica Vuong (V)

Institute of Medical Science, Temerty Faculty of Medicine, University of Toronto, Toronto, ON M5S 1A8, Canada; Rotman Research Institute, Baycrest Health Sciences, Toronto, ON M6A 2E1, Canada; Music and Health Research Collaboratory, Faculty of Music, University of Toronto, Toronto, ON M5S 2C5, Canada. Electronic address: veronica.vuong@utoronto.ca.

Patrick Hewan (P)

Department of Psychology, York University, Toronto, ON M3J 1P3, Canada.

Maxime Perron (M)

Rotman Research Institute, Baycrest Health Sciences, Toronto, ON M6A 2E1, Canada; Department of Psychology, University of Toronto, Toronto, ON M5S 3G3, Canada.

Michael H Thaut (MH)

Institute of Medical Science, Temerty Faculty of Medicine, University of Toronto, Toronto, ON M5S 1A8, Canada; Music and Health Research Collaboratory, Faculty of Music, University of Toronto, Toronto, ON M5S 2C5, Canada; Rehabilitation Sciences Institute, Temerty Faculty of Medicine, University of Toronto, Toronto, ON M5S 1A8, Canada.

Claude Alain (C)

Institute of Medical Science, Temerty Faculty of Medicine, University of Toronto, Toronto, ON M5S 1A8, Canada; Rotman Research Institute, Baycrest Health Sciences, Toronto, ON M6A 2E1, Canada; Music and Health Research Collaboratory, Faculty of Music, University of Toronto, Toronto, ON M5S 2C5, Canada; Department of Psychology, University of Toronto, Toronto, ON M5S 3G3, Canada.

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Classifications MeSH