Music to My Ears: Neural modularity and flexibility differ in response to real-world music stimuli
Melia E. Bonomo, Anthony K. Brandt, J. Todd Frazier, Christof Karmonik

TL;DR
This study investigates how whole-brain neural network properties like modularity and flexibility vary during listening to different types of music and speech, revealing distinct neural patterns for familiar, unfamiliar, and personally significant music.
Contribution
It introduces a whole-brain analysis of neural network measures during music perception, highlighting differences in modularity and flexibility across music types and their potential for understanding music cognition.
Findings
Whole-brain networks show different modularity and flexibility patterns for familiar and unfamiliar music.
The relationship between modularity and flexibility is disrupted during unfamiliar Gagaku music.
Auditory cortex flexibility is higher during unfamiliar Gagaku compared to familiar music.
Abstract
Music listening involves many simultaneous neural operations, including auditory processing, working memory, temporal sequencing, pitch tracking, anticipation, reward, and emotion, and thus, a full investigation of music cognition would benefit from whole-brain analyses. Here, we quantify whole-brain activity while participants listen to a variety of music and speech auditory pieces using two network measures that are grounded in complex systems theory: modularity, which measures the degree to which brain regions are interacting in communities, and flexibility, which measures the rate that brain regions switch the communities to which they belong. In a music and brain connectivity study that is part of a larger clinical investigation into music listening and stroke recovery, fMRI was performed on healthy participants while they listened to self-selected music to which they felt a…
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