Degree distributions in mesoscopic and macroscopic functional brain networks

TL;DR

This paper compares degree distributions in mesoscopic and macroscopic brain networks derived from fMRI data, revealing they follow a continuum of exponentially truncated power law distributions, indicating similar underlying network structures.

Contribution

It demonstrates that both mesoscopic and macroscopic brain networks share similar degree distribution families, advancing understanding of brain network organization across scales.

Findings

Degree distributions follow a continuum of exponentially truncated power laws.

Mesoscopic and macroscopic networks exhibit similar distribution patterns.

Results suggest common organizational principles across brain network scales.

Abstract

We investigated the degree distribution of brain networks extracted from functional magnetic resonance imaging of the human brain. In particular, the distributions are compared between macroscopic brain networks using region-based nodes and mesoscopic brain networks using voxel-based nodes. We found that the distribution from these networks follow the same family of distributions and represent a continuum of exponentially truncated power law distributions.