Network Neuroscience is an interdisciplinary journal focused on advancing the understanding of the brain as a complex network. This publication explores the structural, functional, and dynamic aspects of neural networks across different scales, from molecules to systems. It aims to integrate diverse methodologies and theoretical frameworks to reveal fundamental principles governing brain organization and function.
Key areas of interest include connectomics, graph theory, computational modeling, neuroimaging, and systems neuroscience. The journal welcomes contributions that combine experimental data with computational approaches to elucidate network mechanisms underlying cognition, behavior, and neurological disorders. It serves as a hub for researchers across neuroscience, mathematics, physics, computer science, and engineering.
Network Neuroscience seeks to promote a comprehensive understanding of brain networks and their role in health and disease. The journal encourages submissions that push the boundaries of network analysis and contribute to innovative solutions for neurological and psychiatric conditions. Submit your pioneering research to advance this rapidly evolving field.Â