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Meta-Analysis
. 2021 Oct 21;11(1):20813.
doi: 10.1038/s41598-021-00139-3.

An ALE meta-analytic review of top-down and bottom-up processing of music in the brain

Affiliations
Meta-Analysis

An ALE meta-analytic review of top-down and bottom-up processing of music in the brain

Victor Pando-Naude et al. Sci Rep. .

Abstract

A remarkable feature of the human brain is its ability to integrate information from the environment with internally generated content. The integration of top-down and bottom-up processes during complex multi-modal human activities, however, is yet to be fully understood. Music provides an excellent model for understanding this since music listening leads to the urge to move, and music making entails both playing and listening at the same time (i.e., audio-motor coupling). Here, we conducted activation likelihood estimation (ALE) meta-analyses of 130 neuroimaging studies of music perception, production and imagery, with 2660 foci, 139 experiments, and 2516 participants. We found that music perception and production rely on auditory cortices and sensorimotor cortices, while music imagery recruits distinct parietal regions. This indicates that the brain requires different structures to process similar information which is made available either by an interaction with the environment (i.e., bottom-up) or by internally generated content (i.e., top-down).

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Conflict of interest statement

The authors declare no competing interests.

Figures

Figure 1
Figure 1
Anatomic likelihood estimation meta-analytic results for studies of music perception, production and imagery, at cluster level inference p < 0.05 (FWE). The primary outcomes included ALE meta-analyses of music perception, music production, and music imagery, independently. ROIs: CRBL cerebellum, INS insula, MedFG medial frontal gyrus, PreCG precentral gyrus (primary motor cortex or M1), PUT putamen, SPL superior parietal lobule, STG superior temporal gyrus (primary auditory cortex), THA thalamus, L left, R right, Z peak Z-value. Figure created with Mango (http://rii.uthscsa.edu/mango//userguide.html).

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