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 …

The past decade has witnessed remarkable advances in the simultaneous measurement of
neuronal activity across many brain regions, enabling fundamentally new explorations of the …

Abstract Analysis and interpretation of neuroimaging datasets has become a
multidisciplinary endeavor, relying not only on statistical methods, but increasingly on …

Background: Type 2 diabetes mellitus (T2DM) is known to be associated with
neurobiological and cognitive deficits; however, their extent, overlap with aging effects, and …

Regulation of gene expression drives protein interactions that govern synaptic wiring and
neuronal activity. The resulting coordinated activity among neuronal populations supports …

The connection patterns of neural circuits in the brain form a complex network. Collective
signalling within the network manifests as patterned neural activity and is thought to support …

The triple-network model of psychopathology is a framework to explain the functional and
structural neuroimaging phenotypes of psychiatric and neurological disorders. It describes …

Neuroscience is advancing standardization and tool development to support rigor and
transparency. Consequently, data pipeline complexity has increased, hindering FAIR …

A key goal in neuroscience is to understand brain mechanisms of cognitive functions. An
emerging approach is “brain decoding”, which consists of inferring a set of experimental …

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 …