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

The brain is characterized by heterogeneous patterns of structural connections supporting
unparalleled feats of cognition and a wide range of behaviours. New non-invasive imaging …

The network architecture of the human brain has become a feature of increasing interest to
the neuroscientific community, largely because of its potential to illuminate human cognition …

Aims Major depression disorder (MDD) is the single greatest cause of disability and
morbidity, and affects about 10% of the population worldwide. Currently, there are no …

The human brain is a complex system whose topological organization can be represented
using connectomics. Recent studies have shown that human connectomes can be …

Modelling the human brain as a complex network has provided a powerful mathematical
framework to characterize the structural and functional architectures of the brain. In the past …

The brain is expensive, incurring high material and metabolic costs for its size—relative to
the size of the body—and many aspects of brain network organization can be mostly …

Real-world complex systems may be mathematically modeled as graphs, revealing
properties of the system. Here we study graphs of functional brain organization in healthy …

Over the past decade, in-vivo MRI studies have provided many invaluable insights into the
neural substrates underlying autism spectrum disorder (ASD), which is now known to be …

Resting-state functional magnetic resonance imaging (RFMRI) enables researchers to
monitor fluctuations in the spontaneous brain activities of thousands of regions in the human …