Objective. Predicting how the brain can be driven to specific states by means of internal or
external control requires a fundamental understanding of the relationship between neural …

A recent article by Gu et al.(Nat. Commun. 6, 2015) proposed to characterize brain networks,
quantified using anatomical diffusion imaging, in terms of their “controllability”, drawing on …

The ability to effectively control brain dynamics holds great promise for the enhancement of
cognitive function in humans and the betterment of their quality of life. Yet, successfully …

Networked systems display complex patterns of interactions between components. In
physical networks, these interactions often occur along structural connections that link …

Recent advances in computational models of signal propagation and routing in the human
brain have underscored the critical role of white-matter structure. A complementary …

The ability to modulate brain states using targeted stimulation is increasingly being
employed to treat neurological disorders and to enhance human performance. Despite the …

The field of network neuroscience has emerged as a natural framework for the study of the
brain and has been increasingly applied across divergent problems in neuroscience. From a …

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 complexity of neural dynamics stems in part from the complexity of the underlying
anatomy. Yet how white matter structure constrains how the brain transitions from one …

As the human brain develops, it increasingly supports coordinated control of neural activity.
The mechanism by which white matter evolves to support this coordination is not well …