Background: Analysis of the human connectome using functional magnetic resonance
imaging (fMRI) started in the mid-1990s and attracted increasing attention in attempts to …

Background Graph theory provides a powerful and comprehensive formalism of global and
local topological network properties of complex structural or functional brain connectivity …

Graph theoretical analysis of structural and functional connectivity MRI data (ie. diffusion
tractography or cortical volume correlation and resting-state or task-related (effective) fMRI …

The brain is a large-scale complex network whose workings rely on the interaction between
its various regions. In the past few years, the organization of the human brain network has …

The exciting research regarding graph theoretical analysis of brain connectivity yields truly
integrative and comprehensive descriptions of the structural and functional organization of …

Graph theory analysis, a mathematical approach, has been applied in brain connectivity
studies to explore the organization of network patterns. The computation of graph theory …

The brain can be regarded as a network: a connected system where nodes, or units,
represent different specialized regions and links, or connections, represent communication …

The relationship between structural connectivity (SC) and functional connectivity (FC) in the
human brain can be studied using magnetic resonance imaging (MRI). However many of the …

Brain connectomics research has rapidly expanded using functional MRI (fMRI) and
diffusion-weighted MRI (dwMRI). A common product of these varied analyses is a …

This systematic review aimed to assess the reproducibility of graph-theoretic brain network
metrics. Primary research studies of test-retest reliability conducted on healthy human …