Mapping how local perturbations influence systems-level brain dynamics

TL;DR

This paper investigates how local perturbations influence large-scale brain dynamics, revealing that hub regions are more resilient and peripheral regions are more affected, emphasizing a hierarchical organization in brain responses.

Contribution

It systematically analyzes a large-scale brain model to show how local stimulation effects depend on cortical hierarchy and provides resources for empirical brain stimulation studies.

Findings

Brain hubs are more resilient to local perturbations.

Peripheral regions show greater impact on functional connectivity.

Hierarchical organization influences the effect of local stimulation.

Abstract

The human brain exhibits a relatively stable spatiotemporal organization that supports brain function and can be manipulated via local brain stimulation. Such perturbations to local cortical dynamics are globally integrated by distinct neural systems. However, it remains unclear how and why local changes in neural activity affect large-scale system dynamics. Here, we briefly review empirical and computational studies addressing how localized perturbations affect brain activity. We then systematically analyze a model of large-scale brain dynamics, assessing how localized changes in brain activity at the different sites affect whole-brain dynamics. We find that local stimulation induces changes in brain activity that can be summarized by relatively smooth tuning curves, which relate a region's effectiveness as a stimulation site to its position within the cortical hierarchy. Our results also support the notion that brain hubs, operating in a slower regime, are more resilient to focal perturbations and critically contribute to maintain stability in global brain dynamics. In contrast, perturbations of peripheral regions, characterized by faster activity, have greater impact on functional connectivity. As a parallel with this region-level result, we also find that peripheral systems such as the visual and sensorimotor networks were more affected by local perturbations than high-level systems such as the cingulo-opercular network. Our results highlight the importance of a periphery-to-core hierarchy to determine the effect of local stimulation on the brain network. We also provide novel resources to orient empirical work aiming at manipulating functional connectivity using non-invasive brain stimulation.