Network Neuroscience

Network Neuroscience aims to publish innovative scientific work that significantly advances our understanding of network organization and function in the brain across all scales, from molecules and neurons to circuits and systems. Positioned at the intersection of brain and network sciences, the journal covers empirical and computational studies that record, analyze or model relational data capturing connections and interactions among elements of neurobiological systems. Examples include neuronal signaling and information flow in circuits, patterns of functional connectivity recorded with electrophysiological or imaging methodology, studies of anatomical connections among neurons and brain regions, and interactions among biomolecules or genes. The journal aims to cover studies carried out in all neurobiological systems and all species, including humans. Articles addressing developmental, evolutionary, social and clinical/translational aspects of neurobiological networks as well as articles describing significant new network data, tools and methods are welcome.