Understanding communication and information processing in nervous systems is a central
goal of neuroscience. Over the past two decades, advances in connectomics and network …

Neurodegenerative diseases are the most common cause of dementia. Although their
underlying molecular pathologies have been identified, there is substantial heterogeneity in …

Brains contain networks of interconnected neurons and so knowing the network architecture
is essential for understanding brain function. We therefore mapped the synaptic-resolution …

Neurotransmitter receptors support the propagation of signals in the human brain. How
receptor systems are situated within macro-scale neuroanatomy and how they shape …

To explain how the brain orchestrates information-processing for cognition, we must
understand information itself. Importantly, information is not a monolithic entity. Information …

The spontaneous replay of patterns of activity related to past experiences and memories is a
striking feature of brain activity, as is the coherent activation of sets of brain areas …

Structure–function relationships are a fundamental principle of many naturally occurring
systems. However, network neuroscience research suggests that there is an imperfect link …

The brain is a network of interleaved neural circuits. In modern connectomics, brain
connectivity is typically encoded as a network of nodes and edges, abstracting away the rich …

Diffusion magnetic resonance imaging (dMRI) tractography is an advanced imaging
technique that enables in vivo reconstruction of the brain's white matter connections at …

Data-driven disease progression models are an emerging set of computational tools that
reconstruct disease timelines for long-term chronic diseases, providing unique insights into …