Functional modularity of background activities in normal and epileptic brain networks

TL;DR

This study compares brain network connectivity in healthy and epileptic individuals, revealing that healthy brains have sparse, less modular networks, while epileptic brains show rich, modular connectivity, highlighting differences in functional organization.

Contribution

It demonstrates the distinct modular connectivity patterns in healthy versus epileptic brains using MEG data, emphasizing the role of modularity in neural organization.

Findings

Healthy brains show sparse connectivity in 5-14 Hz range.

Epileptic brains exhibit rich, modular connectivity.

Modularity is key to understanding normal and pathological brain activity.

Abstract

We analyze the connectivity structure of weighted brain networks extracted from spontaneous magnetoencephalographic (MEG) signals of healthy subjects and epileptic patients (suffering from absence seizures) recorded at rest. We find that, for the activities in the 5-14 Hz range, healthy brains exhibit a sparse connectivity, whereas the brain networks of patients display a rich connectivity with clear modular structure. Our results suggest that modularity plays a key role in the functional organization of brain areas during normal and pathological neural activities at rest.