Structural brain networks constructed from diffusion MRI are important biomarkers for
understanding human brain structure and its relation to cognitive functioning. There is …

The idea that intelligence is embedded not only in a single brain network, but instead in a
complex, well-optimized system of complementary networks, has led to the development of …

Structural brain networks estimated from diffusion MRI (dMRI) via tractography have been
widely studied in healthy controls and patients with neurological and psychiatric diseases …

Investigation of the brain connectome using functional magnetic resonance imaging (fMRI)
and measures derived from graph theory analysis has emerged as a new approach to study …

Graph theory allows us to gain better insight concerning changes in brain functional
architecture associated with cognitive impairments in the early stages of multiple sclerosis …

A brain network can be constructed from various imaging modalities such as magnetic
resonance imaging (MRI), representing the functional or structural connectivity between …

Human anatomical brain networks derived from the analysis of neuroimaging data are
known to demonstrate modular organization. Modules, or communities, of cortical brain …

The human brain is a complex network of interacting regions. The gray matter regions of
brain are interconnected by white matter tracts, together forming one integrative complex …

Characterizing the brain connectome using neuroimaging data and measures derived from
graph theory emerged as a new approach that has been applied to brain maturation …

Although most dramatic structural changes occur in the perinatal period, a growing body of
evidences demonstrates that adolescence and early adulthood are also important for …