Influence of sound on empirical brain networks

TL;DR

This study investigates how external sound influences synchronization in brain network models, showing that sound frequency and amplitude can control neural synchrony, with implications for understanding music's effects on the brain.

Contribution

It introduces a model demonstrating how sound parameters modulate synchronization in empirical brain networks, linking auditory stimuli to neural dynamics.

Findings

Synchronization patterns depend on sound frequency.

Amplitude influences the level of neural synchrony.

A minimal model explains music's influence on brain activity.

Abstract

We analyze the influence of an external sound source in a network of FitzHugh-Nagumo oscillators with empirical structural connectivity measured in healthy human subjects. We report synchronization patterns, induced by the frequency of the sound source. We show that the level of synchrony can be enhanced by choosing the frequency of the sound source and its amplitude as control parameters for synchronization patterns. We discuss a minimum model elucidating the modalities of the influence of music on the human brain.