Network models describe the brain as sets of nodes and edges that represent its distributed
organization. So far, most discoveries in network neuroscience have prioritized insights that …

An animal's nervous system changes as its body grows from birth to adulthood and its
behaviours mature,,,,,,–. The form and extent of circuit remodelling across the connectome is …

The modular structure of brain networks supports specialized information processing,
complex dynamics, and cost-efficient spatial embedding. Inter-individual variation in …

A growing number of studies have used stylized network models of communication to predict
brain function from structure. Most have focused on a small set of models applied globally …

Complex human cognition arises from the integrated processing of multiple brain systems.
However, little is known about how brain systems and their interactions might relate to, or …

The network architecture of the human brain contributes in shaping neural activity,
influencing cognitive and behavioral processes. The availability of neuroimaging data …

Fluid intelligence is arguably the defining feature of human cognition. Yet the nature of its
relationship with the brain remains a contentious topic. Influential proposals drawing …

We introduce in network geometry a measure of geometrical congruence (GC) to evaluate
the extent a network topology follows an underlying geometry. This requires finding all …

Structural and functional brain networks are modular. Canonical functional systems, such as
the default mode network, are well-known modules of the human brain and have been …

Signaling in brain networks unfolds over multiple topological scales. Areas may exchange
information over local circuits, encompassing direct neighbours and areas with similar …