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 …

Despite decades of research, we lack objective diagnostic or prognostic biomarkers of
mental health problems. A key reason for this limited progress is a reliance on the traditional …

Imaging technologies are increasingly used to generate high-resolution reference maps of
brain structure and function. Comparing experimentally generated maps to these reference …

Numerous brain disorders demonstrate structural brain abnormalities, which are thought to
arise from molecular perturbations or connectome miswiring. The unique and shared …

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

Epilepsy is associated with genetic risk factors and cortico-subcortical network alterations,
but associations between neurobiological mechanisms and macroscale connectomics …

The brain is composed of disparate neural populations that communicate and interact with
one another. Although fiber bundles, similarities in molecular architecture, and synchronized …

The ever-increasing use of mouse models in preclinical neuroscience research calls for an
improvement in the methods used to translate findings between mouse and human brains …

In comparison to other species, the human brain exhibits one of the highest energy
demands relative to body metabolism. It remains unclear whether this heightened energy …

Connections among brain regions allow pathological perturbations to spread from a single
source region to multiple regions. Patterns of neurodegeneration in multiple diseases …