Neuroscience Needs Network Science

Dániel L. Barabási, Ginestra Bianconi, Ed Bullmore, Mark Burgess, Sue Yeon Chung, Tina Eliassi-Rad, Dileep George, István A. Kovács, Hernán Makse, Thomas E. Nichols, Christos Papadimitriou, Olaf Sporns, Kim Stachenfeld, Zoltán Toroczkai, Emma K. Towlson, Anthony M. Zador, Hongkui Zeng, Albert László Barabási, Amy Bernard, György Buzsáki

Research output: Contribution to journalArticlepeer-review


The brain is a complex system comprising a myriad of interacting neurons, posing significant challenges in understanding its structure, function, and dynamics. Network science has emerged as a powerful tool for studying such interconnected systems, offering a framework for integrating multiscale data and complexity. To date, network methods have significantly advanced functional imaging studies of the human brain and have facilitated the development of control theory-based applications for directing brain activity. Here, we discuss emerging frontiers for network neuroscience in the brain atlas era, addressing the challenges and opportunities in integrating multiple data streams for understanding the neural transitions from development to healthy function to disease. We underscore the importance of fostering interdisciplinary opportunities through workshops, conferences, and funding initiatives, such as supporting students and postdoctoral fellows with interests in both disciplines. By bringing together the network science and neuroscience communities, we can develop novel network-based methods tailored to neural circuits, paving the way toward a deeper understanding of the brain and its functions, as well as offering new challenges for network science.

Original languageEnglish (US)
Pages (from-to)5989-5995
Number of pages7
JournalJournal of Neuroscience
Issue number34
StatePublished - Aug 23 2023


  • Connectomics
  • Network Neuroscience
  • Network Science
  • NeuroAI
  • Neurodevelopment
  • Systems Neuroscience

ASJC Scopus subject areas

  • General Neuroscience


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