A coordinate-based meta-analysis of music-evoked emotions.

ALE meta-analysis amygdala auditory cortex emotion hippocampus limbic system music reward system

Journal

NeuroImage
ISSN: 1095-9572
Titre abrégé: Neuroimage
Pays: United States
ID NLM: 9215515

Informations de publication

Date de publication:
12 2020
Historique:
received: 24 01 2020
revised: 04 08 2020
accepted: 01 09 2020
pubmed: 9 9 2020
medline: 9 3 2021
entrez: 8 9 2020
Statut: ppublish

Résumé

Since the publication of the first neuroscience study investigating emotion with music about two decades ago, the number of functional neuroimaging studies published on this topic has increased each year. This research interest is in part due to the ubiquity of music across cultures, and to music's power to evoke a diverse range of intensely felt emotions. To support a better understanding of the brain correlates of music-evoked emotions this article reports a coordinate-based meta-analysis of neuroimaging studies (n = 47 studies with n = 944 subjects). The studies employed a range of diverse experimental approaches (e.g., using music to evoke joy, sadness, fear, tension, frissons, surprise, unpleasantness, or feelings of beauty). The results of an activation likelihood estimation (ALE) indicate large clusters in a range of structures, including amygdala, anterior hippocampus, auditory cortex, and numerous structures of the reward network (ventral and dorsal striatum, anterior cingulate cortex, orbitofrontal cortex, secondary somatosensory cortex). The results underline the rewarding nature of music, the role of the auditory cortex as an emotional hub, and the role of the hippocampus in attachment-related emotions and social bonding.

Identifiants

pubmed: 32898679
pii: S1053-8119(20)30836-3
doi: 10.1016/j.neuroimage.2020.117350
pii:
doi:

Types de publication

Journal Article Meta-Analysis

Langues

eng

Sous-ensembles de citation

IM

Pagination

117350

Informations de copyright

Copyright © 2020. Published by Elsevier Inc.

Auteurs

Stefan Koelsch (S)

Institute for Biological and Medical Psychology, University of Bergen, Postboks 7807, 5020 Bergen, Norway. Electronic address: stefan.koelsch@uib.no.

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Classifications MeSH